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class="jump-to" data-reactid="154"><button data-reactid="155"><span data-reactid="156">Jump to</span></button><ul class="undefined list" style="display:none;" data-reactid="157"><li data-reactid="158"><span data-reactid="159">Gender Equality Data &amp; Statistics</span></li><li data-reactid="160"><span data-reactid="161">Projects &amp; Operations</span></li><li data-reactid="162"><span data-reactid="163">Featured indicators</span></li></ul></div></div><section class="body" data-reactid="164"><nav class="tabs " data-reactid="165"><div class="tab-item" data-reactid="166"><b class="indicator-title" style="cursor:pointer;" data-reactid="167">Adolescent fertility rate (births per 1,000 women ages 15-19)</b></div><div class="buttons" data-reactid="168"><button class="button secondary share" data-reactid="169"><span data-reactid="170">Share</span></button><button class="button secondary openinnew" data-reactid="171"><span data-reactid="172">Details</span></button></div></nav><div class="chart view" data-reactid="173"><div class="label" data-reactid="174"><label data-reactid="175"><span data-reactid="176">Label</span></label><input type="checkbox" checked="" data-reactid="177"/></div><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="178"/><div class="d3-chart spinning" data-reactid="179"></div></div><footer class="controls" data-reactid="180"><span class="range year" data-reactid="181"><p data-reactid="182"><b data-reactid="183">2022</b></p></span></footer></section><aside class="sidebar location-sidebar" data-reactid="184"><div class="featured-indicators" data-reactid="185"><ul class="chart-list" data-reactid="186"><li data-reactid="187"><a class="active" href="/indicator/SP.ADO.TFRT?view=chart" data-reactid="188"><span class="name" data-reactid="189">Adolescent fertility rate (births per 1,000 women ages 15-19)</span><div class="chart" data-reactid="190"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="191"/><div class="d3-chart spinning" data-reactid="192"></div></div></a></li><li data-reactid="193"><a href="/indicator/SH.STA.BRTC.ZS?view=chart" data-reactid="194"><span class="name" data-reactid="195">Births attended by skilled health staff (% of total)</span><div class="chart" data-reactid="196"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="197"/><div class="d3-chart spinning" data-reactid="198"></div></div></a></li><li data-reactid="199"><a href="/indicator/SL.TLF.0714.FE.ZS?view=chart" data-reactid="200"><span class="name" data-reactid="201">Children in employment, female (% of female children ages 7-14)</span><div class="chart" data-reactid="202"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="203"/><div class="d3-chart spinning" data-reactid="204"></div></div></a></li><li data-reactid="205"><a href="/indicator/SL.TLF.0714.MA.ZS?view=chart" data-reactid="206"><span class="name" data-reactid="207">Children in employment, male (% of male children ages 7-14)</span><div class="chart" data-reactid="208"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="209"/><div class="d3-chart spinning" data-reactid="210"></div></div></a></li><li data-reactid="211"><a href="/indicator/SE.PRM.UNER.FE?view=chart" data-reactid="212"><span class="name" data-reactid="213">Children out of school, primary, female</span><div class="chart" data-reactid="214"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="215"/><div class="d3-chart spinning" data-reactid="216"></div></div></a></li><li data-reactid="217"><a href="/indicator/SE.PRM.UNER.MA?view=chart" data-reactid="218"><span class="name" data-reactid="219">Children out of school, primary, male</span><div class="chart" data-reactid="220"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="221"/><div class="d3-chart spinning" data-reactid="222"></div></div></a></li><li data-reactid="223"><a href="/indicator/SP.DYN.CONU.ZS?view=chart" data-reactid="224"><span class="name" data-reactid="225">Contraceptive prevalence, any method (% of married women ages 15-49)</span><div class="chart" data-reactid="226"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="227"/><div class="d3-chart spinning" data-reactid="228"></div></div></a></li><li data-reactid="229"><a href="/indicator/SL.FAM.WORK.FE.ZS?view=chart" data-reactid="230"><span class="name" data-reactid="231">Contributing family workers, female (% of female employment) (modeled ILO estimate)</span><div class="chart" data-reactid="232"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="233"/><div class="d3-chart spinning" data-reactid="234"></div></div></a></li><li data-reactid="235"><a href="/indicator/SL.FAM.WORK.MA.ZS?view=chart" data-reactid="236"><span class="name" data-reactid="237">Contributing family workers, male (% of male employment) (modeled ILO estimate)</span><div class="chart" data-reactid="238"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="239"/><div class="d3-chart spinning" data-reactid="240"></div></div></a></li><li data-reactid="241"><a href="/indicator/SL.AGR.EMPL.FE.ZS?view=chart" data-reactid="242"><span class="name" data-reactid="243">Employment in agriculture, female (% of female employment) (modeled ILO estimate)</span><div class="chart" data-reactid="244"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="245"/><div class="d3-chart spinning" data-reactid="246"></div></div></a></li><li data-reactid="247"><a href="/indicator/SL.AGR.EMPL.MA.ZS?view=chart" data-reactid="248"><span class="name" data-reactid="249">Employment in agriculture, male (% of male employment) (modeled ILO estimate)</span><div class="chart" data-reactid="250"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="251"/><div class="d3-chart spinning" data-reactid="252"></div></div></a></li><li data-reactid="253"><a href="/indicator/SL.IND.EMPL.FE.ZS?view=chart" data-reactid="254"><span class="name" data-reactid="255">Employment in industry, female (% of female employment) (modeled ILO estimate)</span><div class="chart" data-reactid="256"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="257"/><div class="d3-chart spinning" data-reactid="258"></div></div></a></li><li data-reactid="259"><a href="/indicator/SL.IND.EMPL.MA.ZS?view=chart" data-reactid="260"><span class="name" data-reactid="261">Employment in industry, male (% of male employment) (modeled ILO estimate)</span><div class="chart" data-reactid="262"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="263"/><div class="d3-chart spinning" data-reactid="264"></div></div></a></li><li data-reactid="265"><a href="/indicator/SL.SRV.EMPL.FE.ZS?view=chart" data-reactid="266"><span class="name" data-reactid="267">Employment in services, female (% of female employment) (modeled ILO estimate)</span><div class="chart" data-reactid="268"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="269"/><div class="d3-chart spinning" data-reactid="270"></div></div></a></li><li data-reactid="271"><a href="/indicator/SL.SRV.EMPL.MA.ZS?view=chart" data-reactid="272"><span class="name" data-reactid="273">Employment in services, male (% of male employment) (modeled ILO estimate)</span><div class="chart" data-reactid="274"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="275"/><div class="d3-chart spinning" data-reactid="276"></div></div></a></li><li data-reactid="277"><a href="/indicator/SP.DYN.TFRT.IN?view=chart" data-reactid="278"><span class="name" data-reactid="279">Fertility rate, total (births per woman)</span><div class="chart" data-reactid="280"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="281"/><div class="d3-chart spinning" data-reactid="282"></div></div></a></li><li data-reactid="283"><a href="/indicator/IC.FRM.FEMO.ZS?view=chart" data-reactid="284"><span class="name" data-reactid="285">Firms with female participation in ownership (% of firms)</span><div class="chart" data-reactid="286"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="287"/><div class="d3-chart spinning" data-reactid="288"></div></div></a></li><li data-reactid="289"><a href="/indicator/IC.FRM.FEMM.ZS?view=chart" data-reactid="290"><span class="name" data-reactid="291">Firms with female top manager (% of firms)</span><div class="chart" data-reactid="292"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="293"/><div class="d3-chart spinning" data-reactid="294"></div></div></a></li><li data-reactid="295"><a href="/indicator/SE.PRM.GINT.FE.ZS?view=chart" data-reactid="296"><span class="name" data-reactid="297">Gross intake ratio in first grade of primary education, female (% of relevant age group)</span><div class="chart" data-reactid="298"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="299"/><div class="d3-chart spinning" data-reactid="300"></div></div></a></li><li data-reactid="301"><a href="/indicator/SE.PRM.GINT.MA.ZS?view=chart" data-reactid="302"><span class="name" data-reactid="303">Gross intake ratio in first grade of primary education, male (% of relevant age group)</span><div class="chart" data-reactid="304"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="305"/><div class="d3-chart spinning" data-reactid="306"></div></div></a></li><li data-reactid="307"><a href="/indicator/SL.TLF.CACT.FE.ZS?view=chart" data-reactid="308"><span class="name" data-reactid="309">Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)</span><div class="chart" data-reactid="310"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="311"/><div class="d3-chart spinning" data-reactid="312"></div></div></a></li><li data-reactid="313"><a href="/indicator/SL.TLF.CACT.MA.ZS?view=chart" data-reactid="314"><span class="name" data-reactid="315">Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)</span><div class="chart" data-reactid="316"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="317"/><div class="d3-chart spinning" data-reactid="318"></div></div></a></li><li data-reactid="319"><a href="/indicator/SL.TLF.TOTL.FE.ZS?view=chart" data-reactid="320"><span class="name" data-reactid="321">Labor force, female (% of total labor force)</span><div class="chart" data-reactid="322"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="323"/><div class="d3-chart spinning" data-reactid="324"></div></div></a></li><li data-reactid="325"><a href="/indicator/SP.DYN.LE00.FE.IN?view=chart" data-reactid="326"><span class="name" data-reactid="327">Life expectancy at birth, female (years)</span><div class="chart" data-reactid="328"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="329"/><div class="d3-chart spinning" data-reactid="330"></div></div></a></li><li data-reactid="331"><a href="/indicator/SP.DYN.LE00.MA.IN?view=chart" data-reactid="332"><span class="name" data-reactid="333">Life expectancy at birth, male (years)</span><div class="chart" data-reactid="334"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="335"/><div class="d3-chart spinning" data-reactid="336"></div></div></a></li><li data-reactid="337"><a href="/indicator/SE.ADT.LITR.FE.ZS?view=chart" data-reactid="338"><span class="name" data-reactid="339">Literacy rate, adult female (% of females ages 15 and above)</span><div class="chart" data-reactid="340"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="341"/><div class="d3-chart spinning" data-reactid="342"></div></div></a></li><li data-reactid="343"><a href="/indicator/SE.ADT.LITR.MA.ZS?view=chart" data-reactid="344"><span class="name" data-reactid="345">Literacy rate, adult male (% of males ages 15 and above)</span><div class="chart" data-reactid="346"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="347"/><div class="d3-chart spinning" data-reactid="348"></div></div></a></li><li data-reactid="349"><a href="/indicator/SE.ADT.1524.LT.FE.ZS?view=chart" data-reactid="350"><span class="name" data-reactid="351">Literacy rate, youth female (% of females ages 15-24)</span><div class="chart" data-reactid="352"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="353"/><div class="d3-chart spinning" data-reactid="354"></div></div></a></li><li data-reactid="355"><a href="/indicator/SE.ADT.1524.LT.MA.ZS?view=chart" data-reactid="356"><span class="name" data-reactid="357">Literacy rate, youth male (% of males ages 15-24)</span><div class="chart" data-reactid="358"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="359"/><div class="d3-chart spinning" data-reactid="360"></div></div></a></li><li data-reactid="361"><a href="/indicator/SH.STA.MMRT?view=chart" data-reactid="362"><span class="name" data-reactid="363">Maternal mortality ratio (modeled estimate, per 100,000 live births)</span><div class="chart" data-reactid="364"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="365"/><div class="d3-chart spinning" data-reactid="366"></div></div></a></li><li data-reactid="367"><a href="/indicator/SE.PRM.PRSL.FE.ZS?view=chart" data-reactid="368"><span class="name" data-reactid="369">Persistence to last grade of primary, female (% of cohort)</span><div class="chart" data-reactid="370"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="371"/><div class="d3-chart spinning" data-reactid="372"></div></div></a></li><li data-reactid="373"><a href="/indicator/SE.PRM.PRSL.MA.ZS?view=chart" data-reactid="374"><span class="name" data-reactid="375">Persistence to last grade of primary, male (% of cohort)</span><div class="chart" data-reactid="376"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="377"/><div class="d3-chart spinning" data-reactid="378"></div></div></a></li><li data-reactid="379"><a href="/indicator/SH.STA.ANVC.ZS?view=chart" data-reactid="380"><span class="name" data-reactid="381">Pregnant women receiving prenatal care (%)</span><div class="chart" data-reactid="382"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="383"/><div class="d3-chart spinning" data-reactid="384"></div></div></a></li><li data-reactid="385"><a href="/indicator/SH.HIV.1524.FE.ZS?view=chart" data-reactid="386"><span class="name" data-reactid="387">Prevalence of HIV, female (% ages 15-24)</span><div class="chart" data-reactid="388"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="389"/><div class="d3-chart spinning" data-reactid="390"></div></div></a></li><li data-reactid="391"><a href="/indicator/SH.HIV.1524.MA.ZS?view=chart" data-reactid="392"><span class="name" data-reactid="393">Prevalence of HIV, male (% ages 15-24)</span><div class="chart" data-reactid="394"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="395"/><div class="d3-chart spinning" data-reactid="396"></div></div></a></li><li data-reactid="397"><a href="/indicator/SE.PRM.CMPT.FE.ZS?view=chart" data-reactid="398"><span class="name" data-reactid="399">Primary completion rate, female (% of relevant age group)</span><div class="chart" data-reactid="400"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="401"/><div class="d3-chart spinning" data-reactid="402"></div></div></a></li><li data-reactid="403"><a href="/indicator/SE.PRM.CMPT.MA.ZS?view=chart" data-reactid="404"><span class="name" data-reactid="405">Primary completion rate, male (% of relevant age group)</span><div class="chart" data-reactid="406"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="407"/><div class="d3-chart spinning" data-reactid="408"></div></div></a></li><li data-reactid="409"><a href="/indicator/SE.SEC.PROG.FE.ZS?view=chart" data-reactid="410"><span class="name" data-reactid="411">Progression to secondary school, female (%)</span><div class="chart" data-reactid="412"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="413"/><div class="d3-chart spinning" data-reactid="414"></div></div></a></li><li data-reactid="415"><a href="/indicator/SE.SEC.PROG.MA.ZS?view=chart" data-reactid="416"><span class="name" data-reactid="417">Progression to secondary school, male (%)</span><div class="chart" data-reactid="418"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="419"/><div class="d3-chart spinning" data-reactid="420"></div></div></a></li><li data-reactid="421"><a href="/indicator/SG.GEN.PARL.ZS?view=chart" data-reactid="422"><span class="name" data-reactid="423">Proportion of seats held by women in national parliaments (%)</span><div class="chart" data-reactid="424"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="425"/><div class="d3-chart spinning" data-reactid="426"></div></div></a></li><li data-reactid="427"><a href="/indicator/SG.TIM.UWRK.FE?view=chart" data-reactid="428"><span class="name" data-reactid="429">Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day)</span><div class="chart" data-reactid="430"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="431"/><div class="d3-chart spinning" data-reactid="432"></div></div></a></li><li data-reactid="433"><a href="/indicator/SG.TIM.UWRK.MA?view=chart" data-reactid="434"><span class="name" data-reactid="435">Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day)</span><div class="chart" data-reactid="436"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="437"/><div class="d3-chart spinning" data-reactid="438"></div></div></a></li><li data-reactid="439"><a href="/indicator/SE.PRM.REPT.FE.ZS?view=chart" data-reactid="440"><span class="name" data-reactid="441">Repeaters, primary, female (% of female enrollment)</span><div class="chart" data-reactid="442"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="443"/><div class="d3-chart spinning" data-reactid="444"></div></div></a></li><li data-reactid="445"><a href="/indicator/SE.PRM.REPT.MA.ZS?view=chart" data-reactid="446"><span class="name" data-reactid="447">Repeaters, primary, male (% of male enrollment)</span><div class="chart" data-reactid="448"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="449"/><div class="d3-chart spinning" data-reactid="450"></div></div></a></li><li data-reactid="451"><a href="/indicator/SE.ENR.PRIM.FM.ZS?view=chart" data-reactid="452"><span class="name" data-reactid="453">School enrollment, primary (gross), gender parity index (GPI)</span><div class="chart" data-reactid="454"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="455"/><div class="d3-chart spinning" data-reactid="456"></div></div></a></li><li data-reactid="457"><a href="/indicator/SE.ENR.PRSC.FM.ZS?view=chart" data-reactid="458"><span class="name" data-reactid="459">School enrollment, primary and secondary (gross), gender parity index (GPI)</span><div class="chart" data-reactid="460"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="461"/><div class="d3-chart spinning" data-reactid="462"></div></div></a></li><li data-reactid="463"><a href="/indicator/SP.MTR.1519.ZS?view=chart" data-reactid="464"><span class="name" data-reactid="465">Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)</span><div class="chart" data-reactid="466"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="467"/><div class="d3-chart spinning" data-reactid="468"></div></div></a></li><li data-reactid="469"><a href="/indicator/SL.UEM.TOTL.FE.ZS?view=chart" data-reactid="470"><span class="name" data-reactid="471">Unemployment, female (% of female labor force) (modeled ILO estimate)</span><div class="chart" data-reactid="472"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="473"/><div class="d3-chart spinning" data-reactid="474"></div></div></a></li><li data-reactid="475"><a href="/indicator/SL.UEM.TOTL.MA.ZS?view=chart" data-reactid="476"><span class="name" data-reactid="477">Unemployment, male (% of male labor force) (modeled ILO estimate)</span><div class="chart" data-reactid="478"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="479"/><div class="d3-chart spinning" data-reactid="480"></div></div></a></li><li data-reactid="481"><a href="/indicator/SL.UEM.1524.FE.ZS?view=chart" data-reactid="482"><span class="name" data-reactid="483">Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)</span><div class="chart" data-reactid="484"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="485"/><div class="d3-chart spinning" data-reactid="486"></div></div></a></li><li data-reactid="487"><a href="/indicator/SL.UEM.1524.MA.ZS?view=chart" data-reactid="488"><span class="name" data-reactid="489">Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)</span><div class="chart" data-reactid="490"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="491"/><div class="d3-chart spinning" data-reactid="492"></div></div></a></li><li data-reactid="493"><a href="/indicator/SL.EMP.VULN.FE.ZS?view=chart" data-reactid="494"><span class="name" data-reactid="495">Vulnerable employment, female (% of female employment) (modeled ILO estimate)</span><div class="chart" data-reactid="496"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="497"/><div class="d3-chart spinning" data-reactid="498"></div></div></a></li><li data-reactid="499"><a href="/indicator/SL.EMP.VULN.MA.ZS?view=chart" data-reactid="500"><span class="name" data-reactid="501">Vulnerable employment, male (% of male employment) (modeled ILO estimate)</span><div class="chart" data-reactid="502"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="503"/><div class="d3-chart spinning" data-reactid="504"></div></div></a></li><li data-reactid="505"><a href="/indicator/SL.EMP.WORK.FE.ZS?view=chart" data-reactid="506"><span class="name" data-reactid="507">Wage and salaried workers, female (% of female employment) (modeled ILO estimate)</span><div class="chart" data-reactid="508"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="509"/><div class="d3-chart spinning" data-reactid="510"></div></div></a></li><li data-reactid="511"><a href="/indicator/SL.EMP.WORK.MA.ZS?view=chart" data-reactid="512"><span class="name" data-reactid="513">Wage and salaried workers, male (% of male employment) (modeled ILO estimate)</span><div class="chart" data-reactid="514"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="515"/><div class="d3-chart spinning" data-reactid="516"></div></div></a></li><li data-reactid="517"><a href="/indicator/SG.DMK.SRCR.FN.ZS?view=chart" data-reactid="518"><span class="name" data-reactid="519">Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)</span><div class="chart" data-reactid="520"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="521"/><div class="d3-chart spinning" data-reactid="522"></div></div></a></li></ul></div><div class="content" data-reactid="523"><div class="buttonGroup" data-reactid="524"><div class="btn-item download" data-reactid="525"><h4 data-reactid="526"><span data-reactid="527">Download</span></h4><p data-reactid="528"><a href="https://api.worldbank.org/v2/en/topic/17?downloadformat=csv" data-reactid="529">CSV</a><a href="https://api.worldbank.org/v2/en/topic/17?downloadformat=xml" data-reactid="530">XML</a><a href="https://api.worldbank.org/v2/en/topic/17?downloadformat=excel" data-reactid="531">EXCEL</a></p></div><a class="btn-item databank" href="http://databank.worldbank.org/data/reports.aspx?source=2&amp;Topic=17" target="_blank" data-reactid="532"><h4 data-reactid="533"><span data-reactid="534">DataBank</span></h4><p data-reactid="535"><span data-reactid="536">Explore Our DataBank</span></p></a></div></div></aside></article><article class="card" id="portals" data-reactid="537"><div class="portal" id="genderequalitydatastatistics" data-reactid="538"><h2 data-reactid="539">Gender Equality Data &amp; Statistics</h2><div class="box" data-reactid="540"><div class="image" data-reactid="541"><img alt="Gender Equality Data &amp; Statistics" src="/media/portal-images/Portal-GenderStats.png" data-reactid="542"/></div><aside class="sidebar" data-reactid="543"><div data-reactid="544">The <a href='http://datatopics.worldbank.org/gender'>Gender Data Portal</a> is a one-stop source of information on gender at the country level—a compilation of data on key gender topics from national statistics agencies, United Nations databases, and World Bank-conducted or funded surveys.</div><a class="links button primary" href="http://datatopics.worldbank.org/gender" data-reactid="545"><span data-reactid="546">Go to portal</span></a></aside></div></div></article><div data-reactid="547"><article class="details card projects" id="projects" data-reactid="548"><h2 data-reactid="549">Projects &amp; Operations</h2><section class="minicard-area location" data-reactid="550"><div class="featured-indicators" data-reactid="551"><ul class="chart-list" data-reactid="552"><li class="location-detail-item " data-reactid="553"><a href="https://projects.worldbank.org/en/projects-operations/projects-summary?searchTerm=&amp;status_exact=Active^Closed&amp;prodline_exact=GU^PE&amp;themecode_exact=59" data-reactid="554"><span class="name" data-reactid="555">IBRD/IDA Operations Approved by Fiscal Year</span><div class="chart" data-reactid="556"><div class="chart-summry" data-reactid="557"><div data-reactid="558"><em data-reactid="559">$12.25 billion</em><p data-reactid="560"><!-- react-text: 561 -->FY<!-- /react-text --><strong data-reactid="562">2018</strong></p></div></div><div class="chart-graph" data-reactid="563"><div class="d3-chart " data-reactid="564"></div><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="565"/></div><div class="legend" data-reactid="566"><div data-reactid="567"><i style="background:#2B7CB5;" data-reactid="568"></i><!-- react-text: 569 -->Gender<!-- /react-text --></div></div></div></a></li><li class="location-detail-item " data-reactid="570"><a href="https://projects.worldbank.org/en/projects-operations/projects-summary?searchTerm=&amp;status_exact=Active^Closed&amp;prodline_exact=GU^PE&amp;themecode_exact=59" data-reactid="571"><span class="name" data-reactid="572">New and Supplemental Projects by Fiscal Year</span><div class="chart" data-reactid="573"><div class="chart-summry" data-reactid="574"><div data-reactid="575"><em data-reactid="576">92 </em><p data-reactid="577"><!-- react-text: 578 -->FY<!-- /react-text --><strong data-reactid="579">2018</strong></p></div></div><div class="chart-graph" data-reactid="580"><div class="d3-chart " data-reactid="581"></div><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="582"/></div><div class="legend" data-reactid="583"><div data-reactid="584"><i style="background:#2B7CB5;" data-reactid="585"></i><!-- react-text: 586 -->Gender<!-- /react-text --></div></div></div></a></li></ul></div></section><aside class="sidebar" data-reactid="587"><p data-reactid="588">Search, browse and map more than 10,000 projects from 1947 to the present.</p><div data-reactid="589"><a class="button primary" href="https://projects.worldbank.org/en/projects-operations/projects-summary?&amp;searchTerm=&amp;countrycode_exact=1W" target="_blank" data-reactid="590">Projects &amp; Operations</a></div></aside></article></div><div id="wdi" data-reactid="591"><article class="card indicator" data-reactid="592"><section class="minicard-area topic" data-reactid="593"><h2 id="featuredCharts" data-reactid="594"><span data-reactid="595">Featured indicators</span></h2><div class="featured-indicators" data-reactid="596"><ul class="chart-list" data-reactid="597"><li data-reactid="598"><a class="active" href="/indicator/SP.ADO.TFRT?view=chart" data-reactid="599"><span class="name" data-reactid="600">Adolescent fertility rate (births per 1,000 women ages 15-19)</span><div class="chart" data-reactid="601"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="602"/><div class="d3-chart spinning" data-reactid="603"></div></div></a></li><li data-reactid="604"><a href="/indicator/SH.STA.BRTC.ZS?view=chart" data-reactid="605"><span class="name" data-reactid="606">Births attended by skilled health staff (% of total)</span><div class="chart" data-reactid="607"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="608"/><div class="d3-chart spinning" data-reactid="609"></div></div></a></li><li data-reactid="610"><a href="/indicator/SL.TLF.0714.FE.ZS?view=chart" data-reactid="611"><span class="name" data-reactid="612">Children in employment, female (% of female children ages 7-14)</span><div class="chart" data-reactid="613"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="614"/><div class="d3-chart spinning" data-reactid="615"></div></div></a></li><li data-reactid="616"><a href="/indicator/SL.TLF.0714.MA.ZS?view=chart" data-reactid="617"><span class="name" data-reactid="618">Children in employment, male (% of male children ages 7-14)</span><div class="chart" data-reactid="619"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="620"/><div class="d3-chart spinning" data-reactid="621"></div></div></a></li><li data-reactid="622"><a href="/indicator/SE.PRM.UNER.FE?view=chart" data-reactid="623"><span class="name" data-reactid="624">Children out of school, primary, female</span><div class="chart" data-reactid="625"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="626"/><div class="d3-chart spinning" data-reactid="627"></div></div></a></li><li data-reactid="628"><a href="/indicator/SE.PRM.UNER.MA?view=chart" data-reactid="629"><span class="name" data-reactid="630">Children out of school, primary, male</span><div class="chart" data-reactid="631"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="632"/><div class="d3-chart spinning" data-reactid="633"></div></div></a></li><li data-reactid="634"><a href="/indicator/SP.DYN.CONU.ZS?view=chart" data-reactid="635"><span class="name" data-reactid="636">Contraceptive prevalence, any method (% of married women ages 15-49)</span><div class="chart" data-reactid="637"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="638"/><div class="d3-chart spinning" data-reactid="639"></div></div></a></li><li data-reactid="640"><a href="/indicator/SL.FAM.WORK.FE.ZS?view=chart" data-reactid="641"><span class="name" data-reactid="642">Contributing family workers, female (% of female employment) (modeled ILO estimate)</span><div class="chart" data-reactid="643"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="644"/><div class="d3-chart spinning" data-reactid="645"></div></div></a></li><li data-reactid="646"><a href="/indicator/SL.FAM.WORK.MA.ZS?view=chart" data-reactid="647"><span class="name" data-reactid="648">Contributing family workers, male (% of male employment) (modeled ILO estimate)</span><div class="chart" data-reactid="649"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="650"/><div class="d3-chart spinning" data-reactid="651"></div></div></a></li><li data-reactid="652"><a href="/indicator/SL.AGR.EMPL.FE.ZS?view=chart" data-reactid="653"><span class="name" data-reactid="654">Employment in agriculture, female (% of female employment) (modeled ILO estimate)</span><div class="chart" data-reactid="655"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="656"/><div class="d3-chart spinning" data-reactid="657"></div></div></a></li><li data-reactid="658"><a href="/indicator/SL.AGR.EMPL.MA.ZS?view=chart" data-reactid="659"><span class="name" data-reactid="660">Employment in agriculture, male (% of male employment) (modeled ILO estimate)</span><div class="chart" data-reactid="661"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="662"/><div class="d3-chart spinning" data-reactid="663"></div></div></a></li><li data-reactid="664"><a href="/indicator/SL.IND.EMPL.FE.ZS?view=chart" data-reactid="665"><span class="name" data-reactid="666">Employment in industry, female (% of female employment) (modeled ILO estimate)</span><div class="chart" data-reactid="667"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="668"/><div class="d3-chart spinning" data-reactid="669"></div></div></a></li><li data-reactid="670"><a href="/indicator/SL.IND.EMPL.MA.ZS?view=chart" data-reactid="671"><span class="name" data-reactid="672">Employment in industry, male (% of male employment) (modeled ILO estimate)</span><div class="chart" data-reactid="673"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="674"/><div class="d3-chart spinning" data-reactid="675"></div></div></a></li><li data-reactid="676"><a href="/indicator/SL.SRV.EMPL.FE.ZS?view=chart" data-reactid="677"><span class="name" data-reactid="678">Employment in services, female (% of female employment) (modeled ILO estimate)</span><div class="chart" data-reactid="679"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="680"/><div class="d3-chart spinning" data-reactid="681"></div></div></a></li><li data-reactid="682"><a href="/indicator/SL.SRV.EMPL.MA.ZS?view=chart" data-reactid="683"><span class="name" data-reactid="684">Employment in services, male (% of male employment) (modeled ILO estimate)</span><div class="chart" data-reactid="685"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="686"/><div class="d3-chart spinning" data-reactid="687"></div></div></a></li><li data-reactid="688"><a href="/indicator/SP.DYN.TFRT.IN?view=chart" data-reactid="689"><span class="name" data-reactid="690">Fertility rate, total (births per woman)</span><div class="chart" data-reactid="691"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="692"/><div class="d3-chart spinning" data-reactid="693"></div></div></a></li><li data-reactid="694"><a href="/indicator/IC.FRM.FEMO.ZS?view=chart" data-reactid="695"><span class="name" data-reactid="696">Firms with female participation in ownership (% of firms)</span><div class="chart" data-reactid="697"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="698"/><div class="d3-chart spinning" data-reactid="699"></div></div></a></li><li data-reactid="700"><a href="/indicator/IC.FRM.FEMM.ZS?view=chart" data-reactid="701"><span class="name" data-reactid="702">Firms with female top manager (% of firms)</span><div class="chart" data-reactid="703"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="704"/><div class="d3-chart spinning" data-reactid="705"></div></div></a></li><li data-reactid="706"><a href="/indicator/SE.PRM.GINT.FE.ZS?view=chart" data-reactid="707"><span class="name" data-reactid="708">Gross intake ratio in first grade of primary education, female (% of relevant age group)</span><div class="chart" data-reactid="709"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="710"/><div class="d3-chart spinning" data-reactid="711"></div></div></a></li><li data-reactid="712"><a href="/indicator/SE.PRM.GINT.MA.ZS?view=chart" data-reactid="713"><span class="name" data-reactid="714">Gross intake ratio in first grade of primary education, male (% of relevant age group)</span><div class="chart" data-reactid="715"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="716"/><div class="d3-chart spinning" data-reactid="717"></div></div></a></li><li data-reactid="718"><a href="/indicator/SL.TLF.CACT.FE.ZS?view=chart" data-reactid="719"><span class="name" data-reactid="720">Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)</span><div class="chart" data-reactid="721"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="722"/><div class="d3-chart spinning" data-reactid="723"></div></div></a></li><li data-reactid="724"><a href="/indicator/SL.TLF.CACT.MA.ZS?view=chart" data-reactid="725"><span class="name" data-reactid="726">Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)</span><div class="chart" data-reactid="727"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="728"/><div class="d3-chart spinning" data-reactid="729"></div></div></a></li><li data-reactid="730"><a href="/indicator/SL.TLF.TOTL.FE.ZS?view=chart" data-reactid="731"><span class="name" data-reactid="732">Labor force, female (% of total labor force)</span><div class="chart" data-reactid="733"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="734"/><div class="d3-chart spinning" data-reactid="735"></div></div></a></li><li data-reactid="736"><a href="/indicator/SP.DYN.LE00.FE.IN?view=chart" data-reactid="737"><span class="name" data-reactid="738">Life expectancy at birth, female (years)</span><div class="chart" data-reactid="739"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="740"/><div class="d3-chart spinning" data-reactid="741"></div></div></a></li><li data-reactid="742"><a href="/indicator/SP.DYN.LE00.MA.IN?view=chart" data-reactid="743"><span class="name" data-reactid="744">Life expectancy at birth, male (years)</span><div class="chart" data-reactid="745"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="746"/><div class="d3-chart spinning" data-reactid="747"></div></div></a></li><li data-reactid="748"><a href="/indicator/SE.ADT.LITR.FE.ZS?view=chart" data-reactid="749"><span class="name" data-reactid="750">Literacy rate, adult female (% of females ages 15 and above)</span><div class="chart" data-reactid="751"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="752"/><div class="d3-chart spinning" data-reactid="753"></div></div></a></li><li data-reactid="754"><a href="/indicator/SE.ADT.LITR.MA.ZS?view=chart" data-reactid="755"><span class="name" data-reactid="756">Literacy rate, adult male (% of males ages 15 and above)</span><div class="chart" data-reactid="757"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="758"/><div class="d3-chart spinning" data-reactid="759"></div></div></a></li><li data-reactid="760"><a href="/indicator/SE.ADT.1524.LT.FE.ZS?view=chart" data-reactid="761"><span class="name" data-reactid="762">Literacy rate, youth female (% of females ages 15-24)</span><div class="chart" data-reactid="763"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="764"/><div class="d3-chart spinning" data-reactid="765"></div></div></a></li><li data-reactid="766"><a href="/indicator/SE.ADT.1524.LT.MA.ZS?view=chart" data-reactid="767"><span class="name" data-reactid="768">Literacy rate, youth male (% of males ages 15-24)</span><div class="chart" data-reactid="769"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="770"/><div class="d3-chart spinning" data-reactid="771"></div></div></a></li><li data-reactid="772"><a href="/indicator/SH.STA.MMRT?view=chart" data-reactid="773"><span class="name" data-reactid="774">Maternal mortality ratio (modeled estimate, per 100,000 live births)</span><div class="chart" data-reactid="775"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="776"/><div class="d3-chart spinning" data-reactid="777"></div></div></a></li><li data-reactid="778"><a href="/indicator/SE.PRM.PRSL.FE.ZS?view=chart" data-reactid="779"><span class="name" data-reactid="780">Persistence to last grade of primary, female (% of cohort)</span><div class="chart" data-reactid="781"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="782"/><div class="d3-chart spinning" data-reactid="783"></div></div></a></li><li data-reactid="784"><a href="/indicator/SE.PRM.PRSL.MA.ZS?view=chart" data-reactid="785"><span class="name" data-reactid="786">Persistence to last grade of primary, male (% of cohort)</span><div class="chart" data-reactid="787"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="788"/><div class="d3-chart spinning" data-reactid="789"></div></div></a></li><li data-reactid="790"><a href="/indicator/SH.STA.ANVC.ZS?view=chart" data-reactid="791"><span class="name" data-reactid="792">Pregnant women receiving prenatal care (%)</span><div class="chart" data-reactid="793"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="794"/><div class="d3-chart spinning" data-reactid="795"></div></div></a></li><li data-reactid="796"><a href="/indicator/SH.HIV.1524.FE.ZS?view=chart" data-reactid="797"><span class="name" data-reactid="798">Prevalence of HIV, female (% ages 15-24)</span><div class="chart" data-reactid="799"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="800"/><div class="d3-chart spinning" data-reactid="801"></div></div></a></li><li data-reactid="802"><a href="/indicator/SH.HIV.1524.MA.ZS?view=chart" data-reactid="803"><span class="name" data-reactid="804">Prevalence of HIV, male (% ages 15-24)</span><div class="chart" data-reactid="805"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="806"/><div class="d3-chart spinning" data-reactid="807"></div></div></a></li><li data-reactid="808"><a href="/indicator/SE.PRM.CMPT.FE.ZS?view=chart" data-reactid="809"><span class="name" data-reactid="810">Primary completion rate, female (% of relevant age group)</span><div class="chart" data-reactid="811"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="812"/><div class="d3-chart spinning" data-reactid="813"></div></div></a></li><li data-reactid="814"><a href="/indicator/SE.PRM.CMPT.MA.ZS?view=chart" data-reactid="815"><span class="name" data-reactid="816">Primary completion rate, male (% of relevant age group)</span><div class="chart" data-reactid="817"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="818"/><div class="d3-chart spinning" data-reactid="819"></div></div></a></li><li data-reactid="820"><a href="/indicator/SE.SEC.PROG.FE.ZS?view=chart" data-reactid="821"><span class="name" data-reactid="822">Progression to secondary school, female (%)</span><div class="chart" data-reactid="823"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="824"/><div class="d3-chart spinning" data-reactid="825"></div></div></a></li><li data-reactid="826"><a href="/indicator/SE.SEC.PROG.MA.ZS?view=chart" data-reactid="827"><span class="name" data-reactid="828">Progression to secondary school, male (%)</span><div class="chart" data-reactid="829"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="830"/><div class="d3-chart spinning" data-reactid="831"></div></div></a></li><li data-reactid="832"><a href="/indicator/SG.GEN.PARL.ZS?view=chart" data-reactid="833"><span class="name" data-reactid="834">Proportion of seats held by women in national parliaments (%)</span><div class="chart" data-reactid="835"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="836"/><div class="d3-chart spinning" data-reactid="837"></div></div></a></li><li data-reactid="838"><a href="/indicator/SG.TIM.UWRK.FE?view=chart" data-reactid="839"><span class="name" data-reactid="840">Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day)</span><div class="chart" data-reactid="841"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="842"/><div class="d3-chart spinning" data-reactid="843"></div></div></a></li><li data-reactid="844"><a href="/indicator/SG.TIM.UWRK.MA?view=chart" data-reactid="845"><span class="name" data-reactid="846">Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day)</span><div class="chart" data-reactid="847"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="848"/><div class="d3-chart spinning" data-reactid="849"></div></div></a></li><li data-reactid="850"><a href="/indicator/SE.PRM.REPT.FE.ZS?view=chart" data-reactid="851"><span class="name" data-reactid="852">Repeaters, primary, female (% of female enrollment)</span><div class="chart" data-reactid="853"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="854"/><div class="d3-chart spinning" data-reactid="855"></div></div></a></li><li data-reactid="856"><a href="/indicator/SE.PRM.REPT.MA.ZS?view=chart" data-reactid="857"><span class="name" data-reactid="858">Repeaters, primary, male (% of male enrollment)</span><div class="chart" data-reactid="859"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="860"/><div class="d3-chart spinning" data-reactid="861"></div></div></a></li><li data-reactid="862"><a href="/indicator/SE.ENR.PRIM.FM.ZS?view=chart" data-reactid="863"><span class="name" data-reactid="864">School enrollment, primary (gross), gender parity index (GPI)</span><div class="chart" data-reactid="865"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="866"/><div class="d3-chart spinning" data-reactid="867"></div></div></a></li><li data-reactid="868"><a href="/indicator/SE.ENR.PRSC.FM.ZS?view=chart" data-reactid="869"><span class="name" data-reactid="870">School enrollment, primary and secondary (gross), gender parity index (GPI)</span><div class="chart" data-reactid="871"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="872"/><div class="d3-chart spinning" data-reactid="873"></div></div></a></li><li data-reactid="874"><a href="/indicator/SP.MTR.1519.ZS?view=chart" data-reactid="875"><span class="name" data-reactid="876">Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)</span><div class="chart" data-reactid="877"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="878"/><div class="d3-chart spinning" data-reactid="879"></div></div></a></li><li data-reactid="880"><a href="/indicator/SL.UEM.TOTL.FE.ZS?view=chart" data-reactid="881"><span class="name" data-reactid="882">Unemployment, female (% of female labor force) (modeled ILO estimate)</span><div class="chart" data-reactid="883"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="884"/><div class="d3-chart spinning" data-reactid="885"></div></div></a></li><li data-reactid="886"><a href="/indicator/SL.UEM.TOTL.MA.ZS?view=chart" data-reactid="887"><span class="name" data-reactid="888">Unemployment, male (% of male labor force) (modeled ILO estimate)</span><div class="chart" data-reactid="889"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="890"/><div class="d3-chart spinning" data-reactid="891"></div></div></a></li><li data-reactid="892"><a href="/indicator/SL.UEM.1524.FE.ZS?view=chart" data-reactid="893"><span class="name" data-reactid="894">Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)</span><div class="chart" data-reactid="895"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="896"/><div class="d3-chart spinning" data-reactid="897"></div></div></a></li><li data-reactid="898"><a href="/indicator/SL.UEM.1524.MA.ZS?view=chart" data-reactid="899"><span class="name" data-reactid="900">Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)</span><div class="chart" data-reactid="901"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="902"/><div class="d3-chart spinning" data-reactid="903"></div></div></a></li><li data-reactid="904"><a href="/indicator/SL.EMP.VULN.FE.ZS?view=chart" data-reactid="905"><span class="name" data-reactid="906">Vulnerable employment, female (% of female employment) (modeled ILO estimate)</span><div class="chart" data-reactid="907"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="908"/><div class="d3-chart spinning" data-reactid="909"></div></div></a></li><li data-reactid="910"><a href="/indicator/SL.EMP.VULN.MA.ZS?view=chart" data-reactid="911"><span class="name" data-reactid="912">Vulnerable employment, male (% of male employment) (modeled ILO estimate)</span><div class="chart" data-reactid="913"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="914"/><div class="d3-chart spinning" data-reactid="915"></div></div></a></li><li data-reactid="916"><a href="/indicator/SL.EMP.WORK.FE.ZS?view=chart" data-reactid="917"><span class="name" data-reactid="918">Wage and salaried workers, female (% of female employment) (modeled ILO estimate)</span><div class="chart" data-reactid="919"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="920"/><div class="d3-chart spinning" data-reactid="921"></div></div></a></li><li data-reactid="922"><a href="/indicator/SL.EMP.WORK.MA.ZS?view=chart" data-reactid="923"><span class="name" data-reactid="924">Wage and salaried workers, male (% of male employment) (modeled ILO estimate)</span><div class="chart" data-reactid="925"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="926"/><div class="d3-chart spinning" data-reactid="927"></div></div></a></li><li data-reactid="928"><a href="/indicator/SG.DMK.SRCR.FN.ZS?view=chart" data-reactid="929"><span class="name" data-reactid="930">Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)</span><div class="chart" data-reactid="931"><img class="placeholder" src="/assets/images/placeholder.png" data-reactid="932"/><div class="d3-chart spinning" 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It is also smart development policy and sound business practice. It is integral to economic growth, business growth and good development outcomes. Gender equality can boost productivity, enhance prospects for the next generation, build resilience, and make institutions more representative and effective. In December 2015, the World Bank Group Board discussed our new Gender Equality Strategy 2016-2023, which aims to address persistent gaps and proposed a sharpened focus on more and better gender data. The Bank Group is continually scaling up commitments and expanding partnerships to fill significant gaps in gender data. The database hosts the latest sex-disaggregated data and gender statistics covering demography, education, health, access to economic opportunities, public life and decision-making, and agency.","name","Gender"]],"es",["^ ","^2","atom","^3",["^ ","^8","Empoderar a la mujer y promover la igualdad de género es clave para lograr un desarrollo sostenible. Una mayor equidad de género puede hacer más eficiente la economía y mejorar otros resultados en materia de desarrollo al eliminar barreras que impiden a las mujeres tener el mismo acceso que los hombres a las dotaciones de personal, derechos y oportunidades económicas. Dar a las mujeres acceso a iguales oportunidades les permite tener un rol social y económico más relevante y así se puede avanzar en la formulación de políticas más inclusivas. Además, esto lleva a aumentar las inversiones en la educación, salud y bienestar general de sus hijos. Los datos presentados aquí incluyen información sobre demografía, educación, salud, fuerza laboral y empleo, y participación política. ","^9","Género"]],"fr",["^ ","^2","atom","^3",["^ ","^8","L’émancipation économique et sociale des femmes et la promotion de la parité des sexes sont deux conditions essentielles à l’avènement d’un développement durable. En supprimant les obstacles qui empêchent les femmes d’accéder, au même titre que les hommes, aux dotations en capital humain, aux droits et aux opportunités économiques, la reconnaissance de l’égalité et de la parité permet d’enregistrer de meilleures performances économiques et d’améliorer les résultats obtenus sur le plan du développement. Si les femmes bénéficient d’une égalité d’opportunités, elles deviendront des acteurs économiques et sociaux à part entière, ce processus déterminant l’adoption de politiques plus inclusives. Améliorer la condition des femmes, cela aboutit aussi à investir davantage dans l’éducation de leurs enfants, leur santé et leur bien-être en général. Les données présentées ici concernent la démographie, l’éducation, la santé, l’emploi et la participation politique. 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","id","SG.DMK.SRCR.FN.ZS","^9","Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)","^<",[2022,["KH","TZ","PH","UZ","BJ","KE","NP"]]]]],"^9",["^ ","^2","atom","^3","Gender"],"numberOfDatasets",["^ ","^2","atom"]]],"extraData",["^ ","finances",["^ ","17",["^ ","^2","atom","^3",null]],"projects",["^ ","17",["^ ","^2","atom","^3",[["^ ","fr",["^ ","title","Volume des prêts par exercice","label","Condition féminine"],"zh",["^ ","^A","财政年度IBRD / IDA批准经营","^B","社会性别"],"^A","IBRD/IDA Operations Approved by Fiscal Year","vi",["^ ","^A","Préstamos por ejercicio","^B","Género"],"^3",12248980000,"^B","Gender","ar",["^ ","^A","الإقراض حسب السنوات المالية","^B","المساواة بين الجنسين"],"link","https://projects.worldbank.org/en/projects-operations/projects-summary?searchTerm=&status_exact=Active^Closed&prodline_exact=GU^PE&themecode_exact=59","es",["^ ","^A","Préstamos por ejercicio","^B","Género"],"data",["^ 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","^2","atom","^3","WLD"],"incomelevel",["^ ","^2","atom"],"locationType",["^ ","^2","atom","^3","region"],"locations",["^ 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","^2","atom","^3","World"],"region",["^ ","^2","atom"]],"CR",["^ ","^L",["^ ","^2","atom","^3","XJ"],"en",["^ ","^2","atom","^3",["^ ","Vitalregistrationcomplete","Yes","PPPsurveyyear","2011, and Rolling surveys (annual estimation) after 2016","Latestindustrialdata","2013","Latesthouseholdsurvey","Multiple Indicator Cluster Survey, 2018","Nationalaccountsbaseyear","Original chained constant price data are rescaled.","SNApricevaluation","Value added at basic prices (VAB)","BalanceofPaymentsManualinuse","BPM6","Latestpopulationcensus","2011","^M","CR","CurrencyUnit","Costa Rican colon","^N","Costa Rica","^O","Republic of Costa Rica","^R","Costa Rica","SourceofmostrecentIncomeandexpendituredata","Integrated household survey (IHS), 2017","Lendingcategory","IBRD","Nationalaccountsreferenceyear","2017","Region","Latin America & Caribbean","capital","San Jose","IMFdatadisseminationstandard","Special Data Dissemination Standard (SDDS)","ExternaldebtReportingstatus","Actual","GovernmentAccountingconcept","Consolidated central government","Systemoftrade","Special trade system","^9","Costa Rica","SystemofNationalAccounts","Country uses the 2008 System of National Accounts methodology","Latestagriculturalcensus","2014","Latesttradedata","2018","IncomeGroup","Upper middle income","^P","CR","^Q","Costa Rica"]],"id",["^ ","^2","atom","^3","CRI"],"^S",["^ ","^2","atom","^3","XT"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Costa Rica"],"^V",["^ ","^2","atom","^3","ZJ"]],"JO",["^ ","^L",["^ ","^2","atom","^3","XQ"],"en",["^ ","^2","atom","^3",["^ ","^X","Annual estimation for 2011-2021","^Y","2013","^Z","Demographic and Health Survey, 2017/18","^[","2016","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2015","^M","JO","^N","Jordan","^O","Hashemite Kingdom of Jordan","^R","Jordan","^14","Expenditure survey/budget survey (ES/BS), 2010","^15","IBRD","^13","Jordanian dinar","^17","Middle East & North Africa","^18","Amman","^19","Special Data Dissemination Standard (SDDS)","^1:","Actual","^1;","Budgetary central government","^1<","Special trade system","^9","Jordan","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2007","^1?","2018","^1@","Lower middle income","^P","JO","^Q","Jordan"]],"id",["^ ","^2","atom","^3","JOR"],"^S",["^ ","^2","atom","^3","XN"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Jordan"],"^V",["^ ","^2","atom","^3","ZQ"]],"CI",["^ ","^L",["^ ","^2","atom","^3","ZF"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Y","1997","^Z","Multiple Indicator Cluster Survey, 2016","^[","2015","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2020 (expected)","^M","CI","^N","Côte d'Ivoire","^O","Republic of Côte d'Ivoire","^R","Côte d'Ivoire","^14","Integrated household survey (IHS), 2015","^15","IDA","^13","West African CFA franc","^17","Sub-Saharan Africa","^18","Yamoussoukro","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","Othergroups","HIPC","^1;","Budgetary central government","^1<","Special trade system","^9","Cote d'Ivoire","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2014-2015","^1?","2018","^1@","Lower middle income","^P","CI","^Q","Côte d'Ivoire"]],"id",["^ ","^2","atom","^3","CIV"],"^S",["^ ","^2","atom","^3","XN"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Cote d'Ivoire"],"^V",["^ ","^2","atom","^3","ZG"]],"MO",["^ ","^L",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","2011","^Y","2013","SpecialNotes","On 20 December 1999 China resumed its exercise of sovereignty over Macao. Unless otherwise noted, data for China do not include data for Hong Kong SAR, China; Macao SAR, China; or Taiwan, China.","^[","Original chained constant price data are rescaled.","^12","2016","^M","MO","^13","Macao pataca","^N","Macao SAR, China","^O","Macao Special Administrative Region of the People's Republic of China","^R","Macao SAR, China","^10","Value added at producer prices (VAP)","^11","BPM6","^16","2021","^17","East Asia & Pacific","^19","Enhanced General Data Dissemination System (e-GDDS)","^1;","Consolidated central government","^1<","General trade system","^9","Macao SAR, China","^1=","Country uses the 2008 System of National Accounts methodology","^1?","2016","^1@","High income","^P","MO","^Q","Macao SAR, China"]],"id",["^ ","^2","atom","^3","MAC"],"^S",["^ ","^2","atom","^3","XD"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Macao SAR, China"],"^V",["^ ","^2","atom","^3","Z4"]],"SN",["^ ","^L",["^ ","^2","atom","^3","ZF"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Y","2012","^Z","Continuous Demographic and Health Survey, 2017","^[","2014","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2013","^M","SN","^N","Senegal","^O","Republic of Senegal","^R","Senegal","^14","Priority survey (PS), 2011/12","^15","IDA","^13","West African CFA franc","^17","Sub-Saharan Africa","^18","Dakar","^19","Special Data Dissemination Standard (SDDS)","^1:","Actual","^1A","HIPC","^1;","Budgetary central government","^1<","General trade system","^9","Senegal","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2013","^1?","2018","^1@","Lower middle income","^P","SN","^Q","Senegal"]],"id",["^ ","^2","atom","^3","SEN"],"^S",["^ ","^2","atom","^3","XN"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Senegal"],"^V",["^ ","^2","atom","^3","ZG"]],"KZ",["^ ","^L",["^ ","^2","atom","^3","7E"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2014, 2011","^Y","2013","^Z","Multiple Indicator Cluster Survey, 2015","^[","Original chained constant price data are rescaled.","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2020 (expected)","^M","KZ","^13","Kazakh tenge","^N","Kazakhstan","^O","Republic of Kazakhstan","^R","Kazakhstan","^14","Expenditure survey/budget survey (ES/BS), 2017","^15","IBRD","^16","2005","^17","Europe & Central Asia","^18","Astana","^19","Special Data Dissemination Standard (SDDS)","^1:","Actual","^1;","Consolidated central government","^1<","General trade system","^9","Kazakhstan","^1=","Country uses the 1993 System of National Accounts methodology","^1>","2006-2007","^1?","2018","^1@","Upper middle income","^P","KZ","^Q","Kazakhstan"]],"id",["^ ","^2","atom","^3","KAZ"],"^S",["^ ","^2","atom","^3","XT"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Kazakhstan"],"^V",["^ ","^2","atom","^3","Z7"]],"MU",["^ ","^L",["^ ","^2","atom","^3","ZF"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","2021, 2017, 2011","^Y","2012","^Z","World Health Survey, 2003","^[","2018","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2020 (expected)","^M","MU","^N","Mauritius","^O","Republic of Mauritius","^R","Mauritius","^14","Integrated household survey (IHS), 2012","^15","IBRD","^13","Mauritian rupee","^17","Sub-Saharan Africa","^18","Port Louis","^19","Special Data Dissemination Standard (SDDS)","^1:","Actual","^1;","Consolidated central government","^1<","General trade system","^9","Mauritius","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2014","^1?","2018","^1@","Upper middle income","^P","MU","^Q","Mauritius"]],"id",["^ ","^2","atom","^3","MUS"],"^S",["^ ","^2","atom","^3","XT"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Mauritius"],"^V",["^ ","^2","atom","^3","ZG"]],"VU",["^ ","^L",["^ ","^2","atom","^3","4E"],"en",["^ ","^2","atom","^3",["^ ","^X","2011 (Only for individual consumption expenditure by households)","^Z","Multiple Indicator Cluster Survey, 2007/08","^[","2006","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2020 (expected)","^M","VU","^N","Vanuatu","^O","Republic of Vanuatu","^R","Vanuatu","^14","Integrated household survey (IHS), 2010","^15","IDA","^13","Vanuatu vatu","^17","East Asia & Pacific","^18","Port-Vila","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Estimate","^1;","Budgetary central government","^9","Vanuatu","^1=","Country uses the 1993 System of National Accounts methodology","^1>","2007","^1?","2011","^1@","Lower middle income","^P","VU","^Q","Vanuatu"]],"id",["^ ","^2","atom","^3","VUT"],"^S",["^ ","^2","atom","^3","XN"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Vanuatu"],"^V",["^ ","^2","atom","^3","Z4"]],"AZ",["^ ","^L",["^ ","^2","atom","^3","7E"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","2021, 2017, 2014, 2011","^Y","2013","^Z","Demographic and Health Survey, 2006","^[","Original chained constant price data are rescaled.","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2019","^M","AZ","^13","New Azeri manat","^N","Azerbaijan","^O","Republic of Azerbaijan","^R","Azerbaijan","^14","Living Standards Measurement Study Survey (LSMS), 2012","^15","IBRD","^16","2005","^17","Europe & Central Asia","^18","Baku","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1;","Consolidated central government","^1<","General trade system","^9","Azerbaijan","^1=","Country uses the 1993 System of National Accounts methodology","^1>","2015","^1?","2018","^1@","Upper middle income","^P","AZ","^Q","Azerbaijan"]],"id",["^ ","^2","atom","^3","AZE"],"^S",["^ ","^2","atom","^3","XT"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Azerbaijan"],"^V",["^ ","^2","atom","^3","Z7"]],"PR",["^ ","^L",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^10","Value added at producer prices (VAP)","^1=","Country uses the 1968 System of National Accounts methodology","^13","U.S. dollar","^Y","2006","^M","PR","^17","Latin America & Caribbean","^12","2020 (expected)","^N","Puerto Rico","^Z","Reproductive Health Survey, 1995/96","^18","San Juan","^1>","2012","^1B","Fiscal year end: June 30; reporting period for national accounts data: FY.","^1@","High income","^O","Puerto Rico","^P","PR","^Q","Puerto Rico","^1<","General trade system","^R","Puerto Rico","^[","2017","^9","Puerto Rico"]],"id",["^ ","^2","atom","^3","PRI"],"^S",["^ ","^2","atom","^3","XD"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Puerto Rico"],"^V",["^ ","^2","atom","^3","ZJ"]],"LA",["^ ","^L",["^ ","^2","atom","^3","4E"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Y","1999","^Z","Multiple Indicator Cluster Survey, 2017","^1B","The World Bank systematically assesses the appropriateness of official exchange rates as conversion factors. In this country, multiple or dual exchange rate activity exists and must be accounted for appropriately in underlying statistics. An alternative estimate (“alternative conversion factor” - PA.NUS.ATLS) is thus calculated as a weighted average of the different exchange rates in use in the country. Doing so better reflects economic reality and leads to more accurate cross-country comparisons and country classifications by income level. For this country, this applies to the period 1960-2020. Alternative conversion factors are used in the Atlas methodology and elsewhere in World Development Indicators as single-year conversion factors.","^[","2012","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2015","^M","LA","^N","Lao PDR","^O","Lao People's Democratic Republic","^R","Lao People's Democratic Republic","^14","Expenditure survey/budget survey (ES/BS), 2012","^15","IDA","^13","Lao kip","^17","East Asia & Pacific","^18","Vientiane","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1;","Budgetary central government","^1<","General trade system","^9","Lao PDR","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2010-2011","^1?","2016","^1@","Lower middle income","^P","LA","^Q","Lao PDR"]],"id",["^ ","^2","atom","^3","LAO"],"^S",["^ ","^2","atom","^3","XN"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Lao PDR"],"^V",["^ ","^2","atom","^3","Z4"]],"KH",["^ ","^L",["^ ","^2","atom","^3","4E"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Y","2000","^Z","Demographic and Health Survey, 2020","^1B","The World Bank systematically assesses the appropriateness of official exchange rates as conversion factors. In this country, multiple or dual exchange rate activity exists and must be accounted for appropriately in underlying statistics. An alternative estimate (“alternative conversion factor” - PA.NUS.ATLS) is thus calculated as a weighted average of the different exchange rates in use in the country. Doing so better reflects economic reality and leads to more accurate cross-country comparisons and country classifications by income level. For this country, this applies to the period 1963-2004. Alternative conversion factors are used in the Atlas methodology and elsewhere in World Development Indicators as single-year conversion factors.","^[","2000","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2019","^M","KH","^N","Cambodia","^O","Kingdom of Cambodia","^R","Cambodia","^14","Integrated household survey (IHS), 2012","^15","IDA","^13","Cambodian riel","^17","East Asia & Pacific","^18","Phnom Penh","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1;","Budgetary central government","^1<","General trade system","^9","Cambodia","^1=","Country uses the 1993 System of National Accounts methodology","^1>","2013","^1?","2016","^1@","Lower middle income","^P","KH","^Q","Cambodia"]],"id",["^ ","^2","atom","^3","KHM"],"^S",["^ ","^2","atom","^3","XN"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Cambodia"],"^V",["^ ","^2","atom","^3","Z4"]],"BZ",["^ ","^L",["^ ","^2","atom","^3","XJ"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Y","1992","^Z","Multiple Indicator Cluster Survey, 2015/16","^[","2014","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2020 (expected)","^M","BZ","^N","Belize","^O","Belize","^R","Belize","^14","Labor force survey (LFS), 1999","^15","Blend","^13","Belize dollar","^17","Latin America & Caribbean","^18","Belmopan","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1;","Budgetary central government","^1<","General trade system","^9","Belize","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2011","^1?","2018","^1@","Upper middle income","^P","BZ","^Q","Belize"]],"id",["^ ","^2","atom","^3","BLZ"],"^S",["^ ","^2","atom","^3","XT"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Belize"],"^V",["^ ","^2","atom","^3","ZJ"]],"WS",["^ ","^L",["^ ","^2","atom","^3","4E"],"en",["^ ","^2","atom","^3",["^ ","^X","2011 (Only for individual consumption expenditure by households)","^Z","Multiple Indicator Cluster Survey, 2019/20","^1B","The reporting period for national accounts data is designated as either calendar year basis (CY) or fiscal year basis (FY). For this country, it is fiscal year-based (fiscal year-end: June 30). Also, an estimate (PA.NUS.ATLS) of the exchange rate covers the same period and thus differs from the official exchange rate (CY).","^[","2013","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2020 (expected)","^M","WS","^N","Samoa","^O","Independent State of Samoa","^R","Samoa","^14","Expenditure survey/budget survey (ES/BS), 2013","^15","IDA","^13","Samoan tala","^17","East Asia & Pacific","^18","Apia","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1;","Budgetary central government","^1<","General trade system","^9","Samoa","^1=","Country uses the 1993 System of National Accounts methodology","^1>","2009","^1?","2018","^1@","Lower middle income","^P","WS","^Q","Samoa"]],"id",["^ ","^2","atom","^3","WSM"],"^S",["^ ","^2","atom","^3","XN"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Samoa"],"^V",["^ ","^2","atom","^3","Z4"]],"PA",["^ ","^L",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","2021, 2017, 2011","^Y","2001","^Z","Multiple Indicator Cluster Survey, 2013","^[","Original chained constant price data are rescaled.","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2020 (expected)","^M","PA","^13","Panamanian balboa","^N","Panama","^O","Republic of Panama","^R","Panama","^14","Integrated household survey (IHS), 2016","^15","IBRD","^16","2018","^17","Latin America & Caribbean","^18","Panama City","^19","Enhanced General Data Dissemination System (e-GDDS)","^1<","Special trade system","^9","Panama","^1=","Country uses the 1993 System of National Accounts methodology","^1>","2011","^1?","2016","^1@","High income","^P","PA","^Q","Panama"]],"id",["^ ","^2","atom","^3","PAN"],"^S",["^ ","^2","atom","^3","XD"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Panama"],"^V",["^ ","^2","atom","^3","ZJ"]],"BA",["^ ","^L",["^ ","^2","atom","^3","7E"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","Rolling surveys (annual estimation)","^Y","2011","^Z","Multiple Indicator Cluster Survey, 2011/12","^[","Original chained constant price data are rescaled.","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2013","^M","BA","^13","Bosnia and Herzegovina convertible mark","^N","Bosnia and Herzegovina","^O","Bosnia and Herzegovina","^R","Bosnia and Herzegovina","^14","Expenditure survey/budget survey (ES/BS), 2015","^15","IBRD","^16","2015","^17","Europe & Central Asia","^18","Sarajevo","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1;","Consolidated central government","^1<","Special trade system","^9","Bosnia and Herzegovina","^1=","Country uses the 2008 System of National Accounts methodology","^1?","2018","^1@","Upper middle income","^P","BA","^Q","Bosnia and Herzegovina"]],"id",["^ ","^2","atom","^3","BIH"],"^S",["^ ","^2","atom","^3","XT"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Bosnia and Herzegovina"],"^V",["^ ","^2","atom","^3","Z7"]],"SY",["^ ","^L",["^ ","^2","atom","^3","XQ"],"en",["^ ","^2","atom","^3",["^ ","^X","2021","^Y","2005","^Z","Multiple Indicator Cluster Survey, 2006","^1B","The World Bank systematically assesses the appropriateness of official exchange rates as conversion factors. In this country, multiple or dual exchange rate activity exists and must be accounted for appropriately in underlying statistics. An alternative estimate (“alternative conversion factor” - PA.NUS.ATLS) is thus calculated as a weighted average of the different exchange rates in use in the country. Doing so better reflects economic reality and leads to more accurate cross-country comparisons and country classifications by income level. For this country, this applies to the period 2011-2023. Alternative conversion factors are used in the Atlas methodology and elsewhere in World Development Indicators as single-year conversion factors.","^[","2000","^10","Value added at producer prices (VAP)","^11","BPM5 (Converted into BPM6 by IMF)","^12","2004","^M","SY","^N","Syrian Arab Republic","^O","Syrian Arab Republic","^R","Syrian Arab Republic","^14","Expenditure survey/budget survey (ES/BS), 2007","^15","IDA","^13","Syrian pound","^17","Middle East & North Africa","^18","Damascus","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Estimate","^1;","Budgetary central government","^9","Syrian Arab Republic","^1=","Country uses the 1993 System of National Accounts methodology","^1?","2010","^1@","Low income","^P","SY","^Q","Syrian Arab Republic"]],"id",["^ ","^2","atom","^3","SYR"],"^S",["^ ","^2","atom","^3","XM"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Syrian Arab Republic"],"^V",["^ ","^2","atom","^3","ZQ"]],"GY",["^ ","^L",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017","^Z","Multiple Indicator Cluster Survey, 2019/20","^[","2012","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2012","^M","GY","^N","Guyana","^O","Co-operative Republic of Guyana","^R","Guyana","^14","Integrated household survey (IHS), 1998","^15","IDA","^13","Guyana dollar","^17","Latin America & Caribbean","^18","Georgetown","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1A","HIPC","^1<","Special trade system","^9","Guyana","^1=","Country uses the 2008 System of National Accounts methodology","^1?","2018","^1@","High income","^P","GY","^Q","Guyana"]],"id",["^ ","^2","atom","^3","GUY"],"^S",["^ ","^2","atom","^3","XD"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Guyana"],"^V",["^ ","^2","atom","^3","ZJ"]],"AM",["^ ","^L",["^ ","^2","atom","^3","7E"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","2021, 2017, 2014, 2011","^Z","Demographic and Health Survey, 2015/16","^[","Original chained constant price data are rescaled.","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2020 (expected)","^M","AM","^13","Armenian dram","^N","Armenia","^O","Republic of Armenia","^R","Armenia","^14","Integrated household survey (IHS), 2016","^15","IBRD","^16","2012","^17","Europe & Central Asia","^18","Yerevan","^19","Special Data Dissemination Standard (SDDS)","^1:","Actual","^1;","Consolidated central government","^1<","General trade system","^9","Armenia","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2014","^1?","2018","^1@","Upper middle income","^P","AM","^Q","Armenia"]],"id",["^ ","^2","atom","^3","ARM"],"^S",["^ ","^2","atom","^3","XT"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Armenia"],"^V",["^ ","^2","atom","^3","Z7"]],"KI",["^ ","^L",["^ ","^2","atom","^3","4E"],"en",["^ ","^2","atom","^3",["^ ","^X","2011 (Only for individual consumption expenditure by households)","^Z","Multiple Indicator Cluster Survey, 2018/19","^[","2019","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2015","^M","KI","^N","Kiribati","^O","Republic of Kiribati","^R","Kiribati","^14","Expenditure survey/budget survey (ES/BS), 2006","^15","IDA","^13","Australian dollar","^17","East Asia & Pacific","^18","Tarawa","^19","Enhanced General Data Dissemination System (e-GDDS)","^1;","Consolidated central government","^1<","Special trade system","^9","Kiribati","^1=","Country uses the 1993 System of National Accounts methodology","^1?","2016","^1@","Lower middle income","^P","KI","^Q","Kiribati"]],"id",["^ ","^2","atom","^3","KIR"],"^S",["^ ","^2","atom","^3","XN"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Kiribati"],"^V",["^ ","^2","atom","^3","Z4"]],"JM",["^ ","^L",["^ ","^2","atom","^3","XJ"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Y","1996","^Z","Multiple Indicator Cluster Survey, 2011","^[","2007","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2011","^M","JM","^N","Jamaica","^O","Jamaica","^R","Jamaica","^14","Living Standards Measurement Study Survey (LSMS), 2012","^15","IBRD","^13","Jamaican dollar","^17","Latin America & Caribbean","^18","Kingston","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1;","Budgetary central government","^1<","Special trade system","^9","Jamaica","^1=","Country uses the 1993 System of National Accounts methodology","^1>","2007","^1?","2017","^1@","Upper middle income","^P","JM","^Q","Jamaica"]],"id",["^ ","^2","atom","^3","JAM"],"^S",["^ ","^2","atom","^3","XT"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Jamaica"],"^V",["^ ","^2","atom","^3","ZJ"]],"SB",["^ ","^L",["^ ","^2","atom","^3","4E"],"en",["^ ","^2","atom","^3",["^ ","^X","2011 (Only for individual consumption expenditure by households)","^Z","Solomon Islands Demographic and Health Survey, 2006/07","^[","2012","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2019","^M","SB","^N","Solomon Islands","^O","Solomon Islands","^R","Solomon Islands","^14","Integrated household survey (IHS), 2012/13","^15","IDA","^13","Solomon Islands dollar","^17","East Asia & Pacific","^18","Honiara","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1;","Budgetary central government","^1<","Special trade system","^9","Solomon Islands","^1=","Country uses the 1993 System of National Accounts methodology","^1?","2018","^1@","Lower middle income","^P","SB","^Q","Solomon Islands"]],"id",["^ ","^2","atom","^3","SLB"],"^S",["^ ","^2","atom","^3","XN"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Solomon Islands"],"^V",["^ ","^2","atom","^3","Z4"]],"MN",["^ ","^L",["^ ","^2","atom","^3","4E"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","2021, 2017, 2011","^Y","2011","^Z","Multiple Indicator Cluster Survey, 2018","^1B","The World Bank systematically assesses the appropriateness of official exchange rates as conversion factors. In this country, multiple or dual exchange rate activity exists and must be accounted for appropriately in underlying statistics. An alternative estimate (“alternative conversion factor” - PA.NUS.ATLS) is thus calculated as a weighted average of the different exchange rates in use in the country. Doing so better reflects economic reality and leads to more accurate cross-country comparisons and country classifications by income level. For this country, this applies to the period 1991-2004. Alternative conversion factors are used in the Atlas methodology and elsewhere in World Development Indicators as single-year conversion factors.","^[","2015","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2020","^M","MN","^N","Mongolia","^O","Mongolia","^R","Mongolia","^14","Integrated household survey (IHS), 2016","^15","IBRD","^13","Mongolian tugrik","^17","East Asia & Pacific","^18","Ulaanbaatar","^19","Special Data Dissemination Standard (SDDS)","^1:","Actual","^1;","Consolidated central government","^1<","General trade system","^9","Mongolia","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2011","^1?","2018","^1@","Upper middle income","^P","MN","^Q","Mongolia"]],"id",["^ ","^2","atom","^3","MNG"],"^S",["^ ","^2","atom","^3","XT"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Mongolia"],"^V",["^ ","^2","atom","^3","Z4"]],"CG",["^ ","^L",["^ ","^2","atom","^3","ZF"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Y","2009","^Z","Multiple Indicator Cluster Survey, 2014/15","^[","2005","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2020 (expected)","^M","CG","^N","Congo, Rep.","^O","Republic of Congo","^R","Congo, Republic of","^14","Core Welfare Indicator Questionnaire Survey (CWIQ)/Priority survey (PS), 2011","^15","Blend","^13","Central African CFA franc","^17","Sub-Saharan Africa","^18","Brazzaville","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1A","HIPC","^1;","Budgetary central government","^1<","General trade system","^9","Congo, Rep.","^1=","Country uses the 1993 System of National Accounts methodology","^1>","2014-2015","^1?","2017","^1@","Lower middle income","^P","CG","^Q","Congo"]],"id",["^ ","^2","atom","^3","COG"],"^S",["^ ","^2","atom","^3","XN"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Congo, Rep."],"^V",["^ ","^2","atom","^3","ZG"]],"TT",["^ ","^L",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","2021, 2017, 2011","^Y","2006","^Z","Multiple Indicator Cluster Survey, 2011","^[","2012","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2011","^M","TT","^N","Trinidad and Tobago","^O","Republic of Trinidad and Tobago","^R","Trinidad and Tobago","^14","Integrated household survey (IHS), 1992","^15","IBRD","^13","Trinidad and Tobago dollar","^17","Latin America & Caribbean","^18","Port-of-Spain","^19","Enhanced General Data Dissemination System (e-GDDS)","^1<","Special trade system","^9","Trinidad and Tobago","^1=","Country uses the 2008 System of National Accounts methodology","^1?","2015","^1@","High income","^P","TT","^Q","Trinidad and Tobago"]],"id",["^ ","^2","atom","^3","TTO"],"^S",["^ ","^2","atom","^3","XD"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Trinidad and Tobago"],"^V",["^ ","^2","atom","^3","ZJ"]],"PS",["^ ","^L",["^ ","^2","atom","^3","XQ"],"en",["^ ","^2","atom","^3",["^ ","^X","Annual estimation for 2011-2021","^Y","2013","^Z","Multiple Indicator Cluster Survey, 2019/20","^1B","National accounts data are provided in the US dollar.","^[","2015","^12","2017","^M","PS","^N","West Bank and Gaza","^O","West Bank and Gaza","^R","West Bank and Gaza","^14","Expenditure survey/budget survey (ES/BS), 2016/17","^11","BPM6","^13","Israeli new shekel","^17","Middle East & North Africa","^19","Special Data Dissemination Standard (SDDS)","^1;","Consolidated central government","^9","West Bank and Gaza","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2010","^1?","2018","^1@","Lower middle income","^P","GZ","^Q","West Bank and Gaza"]],"id",["^ ","^2","atom","^3","PSE"],"^S",["^ ","^2","atom","^3","XN"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","West Bank and Gaza"],"^V",["^ ","^2","atom","^3","ZQ"]],"DM",["^ ","^L",["^ ","^2","atom","^3","XJ"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","2021, 2017, 2011","^[","2006","^11","BPM6","^12","2011","^M","DM","^N","Dominica","^O","Commonwealth of Dominica","^R","Dominica","^10","Value added at basic prices (VAB)","^15","Blend","^13","East Caribbean dollar","^17","Latin America & Caribbean","^18","Roseau","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1;","Budgetary central government","^9","Dominica","^1=","Country uses the 1993 System of National Accounts methodology","^1>","2015","^1?","2012","^1@","Upper middle income","^P","DM","^Q","Dominica"]],"id",["^ ","^2","atom","^3","DMA"],"^S",["^ ","^2","atom","^3","XT"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Dominica"],"^V",["^ ","^2","atom","^3","ZJ"]],"TZ",["^ ","^L",["^ ","^2","atom","^3","ZF"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Y","2010","^Z","Malaria Indicator Survey, 2017","^[","2015","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2012","^M","TZ","^N","Tanzania","^O","United Republic of Tanzania","^R","Tanzania","^14","Expenditure survey/budget survey (ES/BS), 2011/12","^15","IDA","^13","Tanzanian shilling","^17","Sub-Saharan Africa","^18","Dodoma","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1A","HIPC","^1;","Budgetary central government","^1<","General trade system","^9","Tanzania","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2007-2008","^1?","2018","^1@","Lower middle income","^P","TZ","^Q","Tanzania"]],"id",["^ ","^2","atom","^3","TZA"],"^S",["^ ","^2","atom","^3","XN"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Tanzania"],"^V",["^ ","^2","atom","^3","ZG"]],"PH",["^ ","^L",["^ ","^2","atom","^3","4E"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","2021, 2017, 2011","^Y","2012","^Z","Demographic and Health Survey, 2017","^[","2018","^10","Value added at producer prices (VAP)","^11","BPM6","^12","2020 (expected)","^M","PH","^N","Philippines","^O","Republic of the Philippines","^R","Philippines","^14","Expenditure survey/budget survey (ES/BS), 2015","^15","IBRD","^13","Philippine peso","^17","East Asia & Pacific","^18","Manila","^19","Special Data Dissemination Standard (SDDS)","^1:","Actual","^1;","Budgetary central government","^1<","General trade system","^9","Philippines","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2012","^1?","2018","^1@","Lower middle income","^P","PH","^Q","Philippines"]],"id",["^ ","^2","atom","^3","PHL"],"^S",["^ ","^2","atom","^3","XN"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Philippines"],"^V",["^ ","^2","atom","^3","Z4"]],"NI",["^ ","^L",["^ ","^2","atom","^3","XJ"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Y","1985","^Z","Reproductive Health Survey, 2006/2007","^1B","The World Bank systematically assesses the appropriateness of official exchange rates as conversion factors. In this country, multiple or dual exchange rate activity exists and must be accounted for appropriately in underlying statistics. An alternative estimate (“alternative conversion factor” - PA.NUS.ATLS) is thus calculated as a weighted average of the different exchange rates in use in the country. Doing so better reflects economic reality and leads to more accurate cross-country comparisons and country classifications by income level. For this country, this applies to the period 1988-2006. Alternative conversion factors are used in the Atlas methodology and elsewhere in World Development Indicators as single-year conversion factors.","^[","Original chained constant price data are rescaled.","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2020 (expected)","^M","NI","^13","Nicaraguan gold cordoba","^N","Nicaragua","^O","Republic of Nicaragua","^R","Nicaragua","^14","Living Standards Measurement Study Survey (LSMS), 2016","^15","IDA","^16","2006","^17","Latin America & Caribbean","^18","Managua","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1A","HIPC","^1;","Budgetary central government","^1<","General trade system","^9","Nicaragua","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2011","^1?","2018","^1@","Lower middle income","^P","NI","^Q","Nicaragua"]],"id",["^ ","^2","atom","^3","NIC"],"^S",["^ ","^2","atom","^3","XN"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Nicaragua"],"^V",["^ ","^2","atom","^3","ZJ"]],"BB",["^ ","^L",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","2017, 2011","^Y","1997","^Z","Multiple Indicator Cluster Survey, 2012","^[","2010","^11","BPM6","^12","2020 (expected)","^M","BB","^N","Barbados","^O","Barbados","^R","Barbados","^10","Value added at basic prices (VAB)","^15","IBRD","^13","Barbados dollar","^17","Latin America & Caribbean","^18","Bridgetown","^19","Enhanced General Data Dissemination System (e-GDDS)","^1;","Budgetary central government","^1<","General trade system","^9","Barbados","^1=","Country uses the 2008 System of National Accounts methodology","^1?","2018","^1@","High income","^P","BB","^Q","Barbados"]],"id",["^ ","^2","atom","^3","BRB"],"^S",["^ ","^2","atom","^3","XD"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Barbados"],"^V",["^ ","^2","atom","^3","ZJ"]],"GE",["^ ","^L",["^ ","^2","atom","^3","7E"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","2021, 2017, 2011","^Y","2013","^Z","Multiple Indicator Cluster Survey, 2018","^1B","Includes self-governed areas only, which mostly exclude Abkhazia and South Ossetia, but small areas in Abkhazia and South Ossetia are included before 2008 or 2009 because of the changes in self-governed areas.","^[","Original chained constant price data are rescaled.","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2014","^M","GE","^13","Georgian lari","^N","Georgia","^O","Georgia","^R","Georgia","^14","Integrated household survey (IHS), 2017","^15","IBRD","^16","2019","^17","Europe & Central Asia","^18","Tbilisi","^19","Special Data Dissemination Standard (SDDS)","^1:","Actual","^1;","Consolidated central government","^1<","General trade system","^9","Georgia","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2014","^1?","2018","^1@","Upper middle income","^P","GE","^Q","Georgia"]],"id",["^ ","^2","atom","^3","GEO"],"^S",["^ ","^2","atom","^3","XT"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Georgia"],"^V",["^ ","^2","atom","^3","Z7"]],"MV",["^ ","^L",["^ ","^2","atom","^3","8S"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","2021, 2017, 2011","^Z","Demographic and Health Survey, 2016/17","^[","2019","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2014","^M","MV","^N","Maldives","^O","Republic of Maldives","^R","Maldives","^14","Integrated household survey (IHS), 2009/10","^15","IDA","^13","Maldivian rufiyaa","^17","South Asia","^18","Male","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1;","Consolidated central government","^1<","General trade system","^9","Maldives","^1=","Country uses the 2008 System of National Accounts methodology","^1?","2018","^1@","Upper middle income","^P","MV","^Q","Maldives"]],"id",["^ ","^2","atom","^3","MDV"],"^S",["^ ","^2","atom","^3","XT"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Maldives"],"^V",["^ ","^2","atom","^3","8S"]],"DO",["^ ","^L",["^ ","^2","atom","^3","XJ"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Y","1984","^Z","Multiple Indicator Cluster Survey, 2019","^[","Original chained constant price data are rescaled.","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2020 (expected)","^M","DO","^13","Dominican peso","^N","Dominican Republic","^O","Dominican Republic","^R","Dominican Republic","^14","Integrated household survey (IHS), 2016","^15","IBRD","^16","2007","^17","Latin America & Caribbean","^18","Santo Domingo","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1;","Consolidated central government","^1<","General trade system","^9","Dominican Republic","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2015","^1?","2017","^1@","Upper middle income","^P","DO","^Q","Dominican Republic"]],"id",["^ ","^2","atom","^3","DOM"],"^S",["^ ","^2","atom","^3","XT"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Dominican Republic"],"^V",["^ ","^2","atom","^3","ZJ"]],"ET",["^ ","^L",["^ ","^2","atom","^3","ZF"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Y","2014","^Z","Socioeconomic Survey 2018-2019, Interim Demographic and Health Survey, 2019","^1B","The reporting period for national accounts data is designated as either calendar year basis (CY) or fiscal year basis (FY). For this country, it is fiscal year-based (fiscal year-end: July 7). Also, an estimate (PA.NUS.ATLS) of the exchange rate covers the same period and thus differs from the official exchange rate (CY).","^[","2015/2016","^10","Value added at basic prices (VAB)","^11","BPM5 (Converted into BPM6 by IMF)","^12","2020 (expected)","^M","ET","^N","Ethiopia","^O","Federal Democratic Republic of Ethiopia","^R","Ethiopia","^14","Expenditure survey/budget survey (ES/BS), 2015/16","^15","IDA","^13","Ethiopian birr","^17","Sub-Saharan Africa","^18","Addis Ababa","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1A","HIPC","^1;","Budgetary central government","^1<","General trade system","^9","Ethiopia","^1=","Country uses the 2008 System of National Accounts methodology","^1?","2016","^1@","Low income","^P","ET","^Q","Ethiopia"]],"id",["^ ","^2","atom","^3","ETH"],"^S",["^ ","^2","atom","^3","XM"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Ethiopia"],"^V",["^ ","^2","atom","^3","ZG"]],"SC",["^ ","^L",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","2021, 2017, 2011","^[","2014","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2020 (expected)","^M","SC","^N","Seychelles","^O","Republic of Seychelles","^R","Seychelles","^14","Expenditure survey/budget survey (ES/BS), 2013","^15","IBRD","^13","Seychelles rupee","^17","Sub-Saharan Africa","^18","Victoria","^19","Special Data Dissemination Standard (SDDS)","^1;","Consolidated central government","^1<","General trade system","^9","Seychelles","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2011","^1?","2018","^1@","High income","^P","SC","^Q","Seychelles"]],"id",["^ ","^2","atom","^3","SYC"],"^S",["^ ","^2","atom","^3","XD"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Seychelles"],"^V",["^ ","^2","atom","^3","ZG"]],"BH",["^ ","^L",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","Annual estimation for 2011-2021","^Y","2013","^Z","Multiple Indicator Cluster Survey, 2000","^[","2010","^12","2020 (expected). Population figures compiled from administrative registers.","^M","BH","^N","Bahrain","^O","Kingdom of Bahrain","^R","Bahrain","^10","Value added at producer prices (VAP)","^11","BPM6","^13","Bahraini dinar","^17","Middle East & North Africa","^18","Manama","^19","Enhanced General Data Dissemination System (e-GDDS)","^1;","Budgetary central government","^1<","General trade system","^9","Bahrain","^1=","Country uses the 1993 System of National Accounts methodology","^1>","2010","^1?","2018","^1@","High income","^P","BH","^Q","Bahrain"]],"id",["^ ","^2","atom","^3","BHR"],"^S",["^ ","^2","atom","^3","XD"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Bahrain"],"^V",["^ ","^2","atom","^3","ZQ"]],"LS",["^ ","^L",["^ ","^2","atom","^3","ZF"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Y","1985","^Z","Multiple Indicator Cluster Survey, 2018","^1B","Fiscal year end: March 31; reporting period for national accounts data: CY.","^[","2012","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2016","^M","LS","^N","Lesotho","^O","Kingdom of Lesotho","^R","Lesotho","^14","Expenditure survey/budget survey (ES/BS), 2010","^15","IDA","^13","Lesotho loti","^17","Sub-Saharan Africa","^18","Maseru","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1;","Budgetary central government","^1<","General trade system","^9","Lesotho","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2010","^1?","2017","^1@","Lower middle income","^P","LS","^Q","Lesotho"]],"id",["^ ","^2","atom","^3","LSO"],"^S",["^ ","^2","atom","^3","XN"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Lesotho"],"^V",["^ ","^2","atom","^3","ZG"]],"LB",["^ ","^L",["^ ","^2","atom","^3","XQ"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","Annual estimation for 2017-2021","^Y","2007","^Z","Family Health Survey, 2004","^1B","The World Bank systematically assesses the appropriateness of official exchange rates as conversion factors. In this country, multiple or dual exchange rate activity exists and must be accounted for appropriately in underlying statistics. An alternative estimate (“alternative conversion factor” - PA.NUS.ATLS) is thus calculated as a weighted average of the different exchange rates in use in the country. Doing so better reflects economic reality and leads to more accurate cross-country comparisons and country classifications by income level. For this country, this applies to the period 1984-2023. Alternative conversion factors are used in the Atlas methodology and elsewhere in World Development Indicators as single-year conversion factors.","^[","2010","^10","Value added at basic prices (VAB)","^11","BPM5 (Converted into BPM6 by IMF)","^12","1943","^M","LB","^N","Lebanon","^O","Lebanese Republic","^R","Lebanon","^14","Expenditure survey/budget survey (ES/BS), 2011/12","^15","IBRD","^13","Lebanese pound","^17","Middle East & North Africa","^18","Beirut","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1;","Budgetary central government","^1<","General trade system","^9","Lebanon","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2010","^1?","2018","^1@","Lower middle income","^P","LB","^Q","Lebanon"]],"id",["^ ","^2","atom","^3","LBN"],"^S",["^ ","^2","atom","^3","XN"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Lebanon"],"^V",["^ ","^2","atom","^3","ZQ"]],"SV",["^ ","^L",["^ ","^2","atom","^3","XJ"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","2021, 2017, 2011","^Y","1998","^Z","Multiple Indicator Cluster Survey, 2014","^[","Original chained constant price data are rescaled.","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2007","^M","SV","^13","U.S. dollar","^N","El Salvador","^O","Republic of El Salvador","^R","El Salvador","^14","Integrated household survey (IHS), 2017","^15","IBRD","^16","2014","^17","Latin America & Caribbean","^18","San Salvador","^19","Special Data Dissemination Standard (SDDS)","^1:","Actual","^1;","Consolidated central government","^1<","General trade system","^9","El Salvador","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2007-2008","^1?","2018","^1@","Upper middle income","^P","SV","^Q","El Salvador"]],"id",["^ ","^2","atom","^3","SLV"],"^S",["^ ","^2","atom","^3","XT"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","El Salvador"],"^V",["^ ","^2","atom","^3","ZJ"]],"BO",["^ ","^L",["^ ","^2","atom","^3","XJ"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Y","2010","^Z","Demographic and Health Survey, 2008","^[","1990","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2012","^M","BO","^N","Bolivia","^O","Plurinational State of Bolivia","^R","Bolivia","^14","Integrated household survey (IHS), 2016","^15","IBRD","^13","Bolivian Boliviano","^17","Latin America & Caribbean","^18","La Paz","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1A","HIPC","^1<","General trade system","^9","Bolivia","^1=","Country uses the 1993 System of National Accounts methodology","^1>","2013","^1?","2018","^1@","Lower middle income","^P","BO","^Q","Bolivia"]],"id",["^ ","^2","atom","^3","BOL"],"^S",["^ ","^2","atom","^3","XN"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Bolivia"],"^V",["^ ","^2","atom","^3","ZJ"]],"CW",["^ ","^L",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","2021, 2017, 2011","^10","Value added at basic prices (VAB)","^11","BPM6","^13","Netherlands Antillean guilder","^M","CW","^17","Latin America & Caribbean","^12","2011","^N","Curaçao","^18","Willemstad","^1=","Country uses the 2008 System of National Accounts methodology","^1@","High income","^O","Curaçao","^P","CW","^Q","Curaçao","^R","Curaçao","^[","2011","^9","Curacao"]],"id",["^ ","^2","atom","^3","CUW"],"^S",["^ ","^2","atom","^3","XD"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Curacao"],"^V",["^ ","^2","atom","^3","ZJ"]],"UZ",["^ ","^L",["^ ","^2","atom","^3","7E"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","2021, 2017 (Experimental survey for individual consumption expenditure by households), 2017 GDP PPPs and 2011 PPPs are imputed by a regression model","^Z","Multiple Indicator Cluster Survey, 2006","^[","Original chained constant price data are rescaled.","^14","Expenditure survey/budget survey (ES/BS), 2013","^12","1989","^M","UZ","^13","Uzbek som","^N","Uzbekistan","^O","Republic of Uzbekistan","^R","Uzbekistan","^10","Value added at basic prices (VAB)","^15","Blend","^16","2010","^17","Europe & Central Asia","^18","Tashkent","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1;","Consolidated central government","^1<","General trade system","^9","Uzbekistan","^1=","Country uses the 1993 System of National Accounts methodology","^1?","2018","^1@","Lower middle income","^P","UZ","^Q","Uzbekistan"]],"id",["^ ","^2","atom","^3","UZB"],"^S",["^ ","^2","atom","^3","XN"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Uzbekistan"],"^V",["^ ","^2","atom","^3","Z7"]],"KM",["^ ","^L",["^ ","^2","atom","^3","ZF"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Z","Demographic and Health Survey, 2012","^[","2007","^10","Value added at basic prices (VAB)","^11","BPM5 (Converted into BPM6 by IMF)","^12","2017","^M","KM","^N","Comoros","^O","Union of the Comoros","^R","Comoros","^14","Integrated household survey (IHS), 2013","^15","IDA","^13","Comorian franc","^17","Sub-Saharan Africa","^18","Moroni","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1A","HIPC","^1<","General trade system","^9","Comoros","^1=","Country uses the 2008 System of National Accounts methodology","^1?","2013","^1@","Lower middle income","^P","KM","^Q","Comoros"]],"id",["^ ","^2","atom","^3","COM"],"^S",["^ ","^2","atom","^3","XN"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Comoros"],"^V",["^ ","^2","atom","^3","ZG"]],"RU",["^ ","^L",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","2021, Rolling surveys (annual estimation) until 2018","^Y","2014","^Z","Russian Federation Reproductive Health Survey, 2011","^[","Original chained constant price data are rescaled.","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2020 (expected)","^M","RU","^13","Russian ruble","^N","Russian Federation","^O","Russian Federation","^R","Russian Federation","^14","Expenditure survey/budget survey (ES/BS), 2017","^15","IBRD","^16","2016","^17","Europe & Central Asia","^18","Moscow","^19","Special Data Dissemination Standard (SDDS)","^1:","Estimate","^1;","Consolidated central government","^1<","General trade system","^9","Russian Federation","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2016","^1?","2018","^1@","High income","^P","RU","^Q","Russia"]],"id",["^ ","^2","atom","^3","RUS"],"^S",["^ ","^2","atom","^3","XD"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Russian Federation"],"^V",["^ ","^2","atom","^3","Z7"]],"TD",["^ ","^L",["^ ","^2","atom","^3","ZF"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Z","Multiple Indicator Cluster Survey, 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Oman","^R","Oman","^10","Value added at basic prices (VAB)","^11","BPM6","^13","Omani rial","^17","Middle East & North Africa","^18","Muscat","^19","Enhanced General Data Dissemination System (e-GDDS)","^1;","Budgetary central government","^1<","General trade system","^9","Oman","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2012-2013","^1?","2018","^1@","High income","^P","OM","^Q","Oman"]],"id",["^ ","^2","atom","^3","OMN"],"^S",["^ ","^2","atom","^3","XD"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Oman"],"^V",["^ ","^2","atom","^3","ZQ"]],"CU",["^ ","^L",["^ ","^2","atom","^3","XJ"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","2011","^10","Value added at basic prices (VAB)","^1=","Country uses the 1993 System of National Accounts methodology","^13","Cuban peso","^Y","1989","^M","CU","^17","Latin America & Caribbean","^12","2012","^N","Cuba","^Z","Multiple Indicator Cluster Survey, 2019","^18","Havana","^1?","2006","^1@","Upper middle income","^O","Republic of Cuba","^P","CU","^Q","Cuba","^R","Cuba","^[","1997","^9","Cuba"]],"id",["^ ","^2","atom","^3","CUB"],"^S",["^ ","^2","atom","^3","XT"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Cuba"],"^V",["^ ","^2","atom","^3","ZJ"]],"GT",["^ ","^L",["^ ","^2","atom","^3","XJ"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","2021, 2011","^Y","1988","^Z","Demographic and Health Survey, 2014/15","^1B","The World Bank systematically assesses the appropriateness of official exchange rates as conversion factors. In this country, multiple or dual exchange rate activity exists and must be accounted for appropriately in underlying statistics. An alternative estimate (“alternative conversion factor” - PA.NUS.ATLS) is thus calculated as a weighted average of the different exchange rates in use in the country. Doing so better reflects economic reality and leads to more accurate cross-country comparisons and country classifications by income level. For this country, this applies to the period 1985-2003. Alternative conversion factors are used in the Atlas methodology and elsewhere in World Development Indicators as single-year conversion factors.","^[","Original chained constant price data are rescaled.","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2018","^M","GT","^13","Guatemalan quetzal","^N","Guatemala","^O","Republic of Guatemala","^R","Guatemala","^14","Living Standards Measurement Study Survey (LSMS), 2014","^15","IBRD","^16","2013","^17","Latin America & Caribbean","^18","Guatemala City","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1;","Budgetary central government","^1<","Special trade system","^9","Guatemala","^1=","Country uses the 2008 System of National Accounts methodology","^1?","2017","^1@","Upper middle income","^P","GT","^Q","Guatemala"]],"id",["^ ","^2","atom","^3","GTM"],"^S",["^ ","^2","atom","^3","XT"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Guatemala"],"^V",["^ ","^2","atom","^3","ZJ"]],"BS",["^ ","^L",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^X","2017, 2011","^Y","1998","^[","2018","^12","2020 (expected)","^M","BS","^N","Bahamas, The","^O","Commonwealth of The Bahamas","^R","Bahamas, The","^10","Value added at basic prices (VAB)","^11","BPM6","^13","Bahamian dollar","^17","Latin America & Caribbean","^18","Nassau","^19","Enhanced General Data Dissemination System (e-GDDS)","^1;","Consolidated central government","^1<","General trade system","^9","Bahamas, The","^1=","Country uses the 2008 System of National Accounts methodology","^1?","2015","^1@","High income","^P","BS","^Q","The Bahamas"]],"id",["^ ","^2","atom","^3","BHS"],"^S",["^ ","^2","atom","^3","XD"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Bahamas, The"],"^V",["^ ","^2","atom","^3","ZJ"]],"AE",["^ ","^L",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","Annual estimation for 2011-2021","^Y","1985","^Z","World Health Survey, 2003","^[","2010","^12","2020 (expected)","^M","AE","^N","United Arab Emirates","^O","United Arab Emirates","^R","United Arab Emirates","^10","Value added at producer prices (VAP)","^13","U.A.E. dirham","^17","Middle East & North Africa","^18","Abu Dhabi","^19","Enhanced General Data Dissemination System (e-GDDS)","^1;","Consolidated central government","^1<","Special trade system","^9","United Arab Emirates","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2012","^1?","2018","^1@","High income","^P","AE","^Q","United Arab Emirates"]],"id",["^ ","^2","atom","^3","ARE"],"^S",["^ ","^2","atom","^3","XD"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","United Arab Emirates"],"^V",["^ ","^2","atom","^3","ZQ"]],"BF",["^ ","^L",["^ ","^2","atom","^3","ZF"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Y","1983","^Z","Malaria Indicator Survey, 2017/18","^[","2015","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2019","^M","BF","^N","Burkina Faso","^O","Burkina Faso","^R","Burkina Faso","^14","Core Welfare Indicator Questionnaire Survey (CWIQ), 2014","^15","IDA","^13","West African CFA franc","^17","Sub-Saharan Africa","^18","Ouagadougou","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1A","HIPC","^1;","Budgetary central government","^1<","General trade system","^9","Burkina Faso","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2006-2010","^1?","2018","^1@","Low income","^P","BF","^Q","Burkina Faso"]],"id",["^ ","^2","atom","^3","BFA"],"^S",["^ ","^2","atom","^3","XM"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Burkina Faso"],"^V",["^ ","^2","atom","^3","ZG"]],"NE",["^ ","^L",["^ ","^2","atom","^3","ZF"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Y","2002","^Z","Demographic and Health Survey, 2017","^[","2015","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2012","^M","NE","^N","Niger","^O","Republic of Niger","^R","Niger","^14","Core Welfare Indicator Questionnaire Survey (CWIQ)/Priority survey (PS), 2014","^15","IDA","^13","West African CFA franc","^17","Sub-Saharan Africa","^18","Niamey","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1A","HIPC","^1<","General trade system","^9","Niger","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2004-2008","^1?","2016","^1@","Low income","^P","NE","^Q","Niger"]],"id",["^ ","^2","atom","^3","NER"],"^S",["^ ","^2","atom","^3","XM"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Niger"],"^V",["^ ","^2","atom","^3","ZG"]],"SR",["^ ","^L",["^ ","^2","atom","^3","XJ"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","2021, 2017, 2011","^Z","Multiple Indicator Cluster Survey, 2018","^1B","The World Bank systematically assesses the appropriateness of official exchange rates as conversion factors. In this country, multiple or dual exchange rate activity exists and must be accounted for appropriately in underlying statistics. An alternative estimate (“alternative conversion factor” - PA.NUS.ATLS) is thus calculated as a weighted average of the different exchange rates in use in the country. Doing so better reflects economic reality and leads to more accurate cross-country comparisons and country classifications by income level. For this country, this applies to 1989-2021. Alternative conversion factors are used in the Atlas methodology and elsewhere in World Development Indicators as single-year conversion factors.","^[","2015","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2012","^M","SR","^N","Suriname","^O","Republic of Suriname","^R","Suriname","^14","Expenditure survey/budget survey (ES/BS), 1999","^15","IBRD","^13","Suriname dollar","^17","Latin America & Caribbean","^18","Paramaribo","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Estimate","^1;","Budgetary central government","^1<","General trade system","^9","Suriname","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2008-2009","^1?","2018","^1@","Upper middle income","^P","SR","^Q","Suriname"]],"id",["^ ","^2","atom","^3","SUR"],"^S",["^ ","^2","atom","^3","XT"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Suriname"],"^V",["^ ","^2","atom","^3","ZJ"]],"BY",["^ ","^L",["^ ","^2","atom","^3","7E"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","2021, 2017, 2014, 2011","^Y","2014","^Z","Multiple Indicator Cluster Survey, 2019","^1B","Data before 2015 were adjusted to reflect the new denomination effective from July 1, 2016 (BYN), a decrease of 10,000 times (1 BYN = 10,000 BYR)","^[","Original chained constant price data are rescaled.","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2019","^M","BY","^13","Belarusian rubel","^N","Belarus","^O","Republic of Belarus","^R","Belarus","^14","Integrated household survey (IHS), 2017","^15","IBRD","^16","2018","^17","Europe & Central Asia","^18","Minsk","^19","Special Data Dissemination Standard (SDDS)","^1:","Estimate","^1;","Consolidated central government","^1<","General trade system","^9","Belarus","^1=","Country uses the 2008 System of National Accounts methodology","^1?","2018","^1@","Upper middle income","^P","BY","^Q","Belarus"]],"id",["^ ","^2","atom","^3","BLR"],"^S",["^ ","^2","atom","^3","XT"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Belarus"],"^V",["^ ","^2","atom","^3","Z7"]],"PY",["^ ","^L",["^ ","^2","atom","^3","XJ"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Y","2010","^Z","Multiple Indicator Cluster Survey, 2016","^1B","The World Bank systematically assesses the appropriateness of official exchange rates as conversion factors. In this country, multiple or dual exchange rate activity exists and must be accounted for appropriately in underlying statistics. An alternative estimate (“alternative conversion factor” - PA.NUS.ATLS) is thus calculated as a weighted average of the different exchange rates in use in the country. Doing so better reflects economic reality and leads to more accurate cross-country comparisons and country classifications by income level. For this country, this applies to the period 1982-1988. Alternative conversion factors are used in the Atlas methodology and elsewhere in World Development Indicators as single-year conversion factors.","^[","2014","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2012","^M","PY","^N","Paraguay","^O","Republic of Paraguay","^R","Paraguay","^14","Integrated household survey (IHS), 2017","^15","IBRD","^13","Paraguayan guarani","^17","Latin America & Caribbean","^18","Asuncion","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1;","Consolidated central government","^1<","General trade system","^9","Paraguay","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2008","^1?","2018","^1@","Upper middle income","^P","PY","^Q","Paraguay"]],"id",["^ ","^2","atom","^3","PRY"],"^S",["^ ","^2","atom","^3","XT"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Paraguay"],"^V",["^ ","^2","atom","^3","ZJ"]],"TN",["^ ","^L",["^ ","^2","atom","^3","XQ"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Y","2010","^Z","Multiple Indicator Cluster Survey, 2018","^[","2015","^10","Value added at basic prices (VAB)","^11","BPM5 (Converted into BPM6 by IMF)","^12","2014","^M","TN","^N","Tunisia","^O","Republic of Tunisia","^R","Tunisia","^14","Integrated household survey (IHS), 2015","^15","IBRD","^13","Tunisian dinar","^17","Middle East & North Africa","^18","Tunis","^19","Special Data Dissemination Standard (SDDS)","^1:","Actual","^1;","Budgetary central government","^1<","General trade system","^9","Tunisia","^1=","Country uses the 1993 System of National Accounts methodology","^1?","2017","^1@","Lower middle income","^P","TN","^Q","Tunisia"]],"id",["^ ","^2","atom","^3","TUN"],"^S",["^ ","^2","atom","^3","XN"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Tunisia"],"^V",["^ ","^2","atom","^3","ZQ"]],"AL",["^ ","^L",["^ ","^2","atom","^3","7E"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","Rolling surveys (annual estimation)","^Y","2013","^Z","Demographic and Health Survey, 2017/18","^[","Original chained constant price data are rescaled.","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2020 (expected)","^M","AL","^13","Albanian lek","^N","Albania","^O","Republic of Albania","^R","Albania","^14","Living Standards Measurement Study Survey (LSMS), 2012","^15","IBRD","^16","2010","^17","Europe & Central Asia","^18","Tirane","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1;","Consolidated central government","^1<","Special trade system","^9","Albania","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2012","^1?","2018","^1@","Upper middle income","^P","AL","^Q","Albania"]],"id",["^ ","^2","atom","^3","ALB"],"^S",["^ ","^2","atom","^3","XT"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Albania"],"^V",["^ ","^2","atom","^3","Z7"]],"NR",["^ ","^L",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","2011 (Only for individual consumption expenditure by households)","^10","Value added at basic prices (VAB)","^15","IBRD","^13","Australian dollar","^M","NR","^17","East Asia & Pacific","^12","2011","^N","Nauru","^Z","Nauru Demographic and Health Survey, 2007","^18","Yaren District","^1=","Country uses the 1993 System of National Accounts methodology","^1B","The reporting period for national accounts data is designated as either calendar year basis (CY) or fiscal year basis (FY). For this country, it is fiscal year-based (fiscal year-end: June 30). Also, an estimate (PA.NUS.ATLS) of the exchange rate covers the same period and thus differs from the official exchange rate (CY).","^1@","High income","^O","Republic of Nauru","^P","NR","^Q","Nauru","^R","Nauru","^[","2013","^9","Nauru"]],"id",["^ ","^2","atom","^3","NRU"],"^S",["^ ","^2","atom","^3","XD"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Nauru"],"^V",["^ ","^2","atom","^3","Z4"]],"BN",["^ ","^L",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","2021, 2017, 2011","^10","Value added at producer prices (VAP)","^11","BPM6","^13","Brunei dollar","^M","BN","^17","East Asia & Pacific","^12","2011","^19","Enhanced General Data Dissemination System (e-GDDS)","^18","Bandar Seri Begawan","^1=","Country uses the 2008 System of National Accounts methodology","^1?","2018","^N","Brunei Darussalam","^1@","High income","^O","Brunei Darussalam","^P","BN","^Q","Brunei","^1<","Special trade system","^R","Brunei Darussalam","^[","2010","^9","Brunei Darussalam"]],"id",["^ ","^2","atom","^3","BRN"],"^S",["^ ","^2","atom","^3","XD"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Brunei Darussalam"],"^V",["^ ","^2","atom","^3","Z4"]],"HN",["^ ","^L",["^ ","^2","atom","^3","XJ"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Y","1996","^Z","Multiple Indicator Cluster Survey, 2019","^1B","The World Bank systematically assesses the appropriateness of official exchange rates as conversion factors. In this country, multiple or dual exchange rate activity exists and must be accounted for appropriately in underlying statistics. An alternative estimate (“alternative conversion factor” - PA.NUS.ATLS) is thus calculated as a weighted average of the different exchange rates in use in the country. Doing so better reflects economic reality and leads to more accurate cross-country comparisons and country classifications by income level. For this country, this applies to the period 1988-1989. Alternative conversion factors are used in the Atlas methodology and elsewhere in World Development Indicators as single-year conversion factors.","^[","2000","^10","Value added at basic prices (VAB)","^11","BPM5 (Converted into BPM6 by IMF)","^12","2013","^M","HN","^N","Honduras","^O","Republic of Honduras","^R","Honduras","^14","Integrated household survey (IHS), 2017","^15","IDA","^13","Honduran lempira","^17","Latin America & Caribbean","^18","Tegucigalpa","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1A","HIPC","^1;","Consolidated central government","^1<","Special trade system","^9","Honduras","^1=","Country uses the 1993 System of National Accounts methodology","^1?","2017","^1@","Lower middle income","^P","HN","^Q","Honduras"]],"id",["^ ","^2","atom","^3","HND"],"^S",["^ ","^2","atom","^3","XN"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Honduras"],"^V",["^ ","^2","atom","^3","ZJ"]],"PW",["^ ","^L",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","2011 (Only for individual consumption expenditure by households)","^1B","Fiscal year ends on September 30; reporting period for national accounts data: FY.","^[","2019","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2015","^M","PW","^N","Palau","^O","Republic of Palau","^R","Palau","^14","Expenditure survey/budget survey (ES/BS), 2006","^15","IBRD","^13","U.S. dollar","^17","East Asia & Pacific","^18","Koror","^19","Enhanced General Data Dissemination System (e-GDDS)","^1;","Budgetary central government","^1<","General trade system","^9","Palau","^1=","Country uses the 1993 System of National Accounts methodology","^1?","2018","^1@","High income","^P","PW","^Q","Palau"]],"id",["^ ","^2","atom","^3","PLW"],"^S",["^ ","^2","atom","^3","XD"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Palau"],"^V",["^ ","^2","atom","^3","Z4"]],"EC",["^ ","^L",["^ ","^2","atom","^3","XJ"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Y","2008","^Z","Reproductive Health Survey, 2004","^[","2018","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2020 (expected)","^M","EC","^N","Ecuador","^O","Republic of Ecuador","^R","Ecuador","^14","Integrated household survey (IHS), 2018","^15","IBRD","^13","U.S. dollar","^17","Latin America & Caribbean","^18","Quito","^19","Special Data Dissemination Standard (SDDS)","^1:","Actual","^1<","Special trade system","^9","Ecuador","^1=","Country uses the 2008 System of National Accounts methodology","^1?","2018","^1@","Upper middle income","^P","EC","^Q","Ecuador"]],"id",["^ ","^2","atom","^3","ECU"],"^S",["^ ","^2","atom","^3","XT"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Ecuador"],"^V",["^ ","^2","atom","^3","ZJ"]],"MY",["^ ","^L",["^ ","^2","atom","^3","4E"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","2021, 2017, 2011","^Y","2012","^Z","World Health Survey, 2003","^[","2015","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2020 (expected)","^M","MY","^N","Malaysia","^O","Malaysia","^R","Malaysia","^14","Income survey (IS), 2015","^15","IBRD","^13","Malaysian ringgit","^17","East Asia & Pacific","^18","Kuala Lumpur","^19","Special Data Dissemination Standard (SDDS)","^1;","Budgetary central government","^1<","General trade system","^9","Malaysia","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2015. Economic Census, Natural Resources Census, Livestock Census, Livestock and Aquaculture Census or Sample Agricultural Census.","^1?","2018","^1@","Upper middle income","^P","MY","^Q","Malaysia"]],"id",["^ ","^2","atom","^3","MYS"],"^S",["^ ","^2","atom","^3","XT"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Malaysia"],"^V",["^ ","^2","atom","^3","Z4"]],"SM",["^ ","^L",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^10","Value added at basic prices (VAB)","^1=","Country uses the 1993 System of National Accounts methodology","^13","Euro","^M","SM","^17","Europe & Central Asia","^12","2020 (expected)","^19","Enhanced General Data Dissemination System (e-GDDS)","^18","San Marino","^N","San Marino","^1@","High income","^1;","Consolidated central government","^O","Republic of San Marino","^P","SM","^Q","San Marino","^R","San Marino","^[","2007","^9","San Marino"]],"id",["^ ","^2","atom","^3","SMR"],"^S",["^ ","^2","atom","^3","XD"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","San Marino"],"^V",["^ ","^2","atom","^3","Z7"]],"KG",["^ ","^L",["^ ","^2","atom","^3","7E"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","2021, 2017, 2014, 2011","^Y","2012","^Z","Multiple Indicator Cluster Survey, 2018","^[","Original chained constant price data are rescaled.","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2020 (expected)","^M","KG","^13","Kyrgyz som","^N","Kyrgyz Republic","^O","Kyrgyz Republic","^R","Kyrgyz Republic","^14","Integrated household survey (IHS), 2015","^15","IDA","^16","2019","^17","Europe & Central Asia","^18","Bishkek","^19","Special Data Dissemination Standard (SDDS)","^1:","Actual","^1A","HIPC","^1;","Consolidated central government","^1<","General trade system","^9","Kyrgyz Republic","^1=","Country uses the 2008 System of National Accounts methodology","^1?","2018","^1@","Lower middle income","^P","KG","^Q","Kyrgyz Republic"]],"id",["^ ","^2","atom","^3","KGZ"],"^S",["^ ","^2","atom","^3","XN"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Kyrgyz Republic"],"^V",["^ ","^2","atom","^3","Z7"]],"IN",["^ ","^L",["^ ","^2","atom","^3","8S"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Y","2014","^Z","Demographic and Health Survey, 2019/20","^1B","The reporting period for national accounts data is designated as either calendar year basis (CY) or fiscal year basis (FY). For this country, it is fiscal year-based (fiscal year-end: March 31). Also, an estimate (PA.NUS.ATLS) of the exchange rate covers the same period and thus differs from the official exchange rate (CY).","^[","2011/12","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2011","^M","IN","^N","India","^O","Republic of India","^R","India","^14","Integrated household survey (IHS), 2011/12","^15","IBRD","^13","Indian rupee","^17","South Asia","^18","New Delhi","^19","Special Data Dissemination Standard (SDDS)","^1:","Actual","^1;","Consolidated central government","^1<","General trade system","^9","India","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2010-2011","^1?","2018","^1@","Lower middle income","^P","IN","^Q","India"]],"id",["^ ","^2","atom","^3","IND"],"^S",["^ ","^2","atom","^3","XN"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","India"],"^V",["^ ","^2","atom","^3","8S"]],"ML",["^ ","^L",["^ ","^2","atom","^3","ZF"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Z","Demographic and Health Survey, 2018","^[","1999","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2020 (expected)","^M","ML","^N","Mali","^O","Republic of Mali","^R","Mali","^14","Integrated household survey (IHS), 2009/10","^15","IDA","^13","West African CFA franc","^17","Sub-Saharan Africa","^18","Bamako","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1A","HIPC","^1;","Budgetary central government","^1<","General trade system","^9","Mali","^1=","Country uses the 1993 System of National Accounts methodology","^1?","2017","^1@","Low income","^P","ML","^Q","Mali"]],"id",["^ ","^2","atom","^3","MLI"],"^S",["^ ","^2","atom","^3","XM"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Mali"],"^V",["^ ","^2","atom","^3","ZG"]],"US",["^ ","^L",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","Rolling surveys (annual estimation)","^Y","2011","^[","Original chained constant price data are rescaled.","^14","Labor force survey (LFS), 2016","^12","2020 (expected)","^M","US","^13","U.S. dollar","^N","United States","^O","United States of America","^R","United States","^10","Value added at basic prices (VAB)","^11","BPM6","^16","2015","^17","North America","^18","Washington D.C.","^19","Special Data Dissemination Standard Plus (SDDS Plus)","^1;","Consolidated central government","^1<","General trade system","^9","United States","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2012","^1?","2018","^1@","High income","^P","US","^Q","United States"]],"id",["^ ","^2","atom","^3","USA"],"^S",["^ ","^2","atom","^3","XD"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","United States"],"^V",["^ ","^2","atom","^3","XU"]],"GB",["^ ","^L",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^W","Yes","^X","Rolling surveys (annual estimation)","^Y","2013","^[","Original chained constant price data are rescaled.","^14","Income survey (IS), 2015","^12","2011","^M","GB","^13","Pound sterling","^N","United Kingdom","^O","United Kingdom of Great Britain and Northern Ireland","^R","United Kingdom","^10","Value added at basic prices (VAB)","^11","BPM6","^16","2015","^17","Europe & Central Asia","^18","London","^19","Special Data Dissemination Standard (SDDS)","^1;","Consolidated central government","^1<","General trade system","^9","United Kingdom","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2010","^1?","2018","^1@","High income","^P","GB","^Q","United Kingdom"]],"id",["^ ","^2","atom","^3","GBR"],"^S",["^ ","^2","atom","^3","XD"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","United Kingdom"],"^V",["^ ","^2","atom","^3","Z7"]],"MZ",["^ ","^L",["^ ","^2","atom","^3","ZF"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Y","1973","^Z","Malaria Indicator Survey, 2018","^[","2019","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2017","^M","MZ","^N","Mozambique","^O","Republic of Mozambique","^R","Mozambique","^14","Expenditure survey/budget survey (ES/BS), 2014","^15","IDA","^13","New Mozambican metical","^17","Sub-Saharan Africa","^18","Maputo","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1A","HIPC","^1;","Budgetary central government","^1<","General trade system","^9","Mozambique","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2009-2010","^1?","2018","^1@","Low income","^P","MZ","^Q","Mozambique"]],"id",["^ ","^2","atom","^3","MOZ"],"^S",["^ ","^2","atom","^3","XM"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Mozambique"],"^V",["^ ","^2","atom","^3","ZG"]],"BJ",["^ ","^L",["^ ","^2","atom","^3","ZF"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Y","1981","^Z","Demographic and Health Survey, 2017/18","^[","2015","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2013","^M","BJ","^N","Benin","^O","Republic of Benin","^R","Benin","^14","Core Welfare Indicator Questionnaire Survey (CWIQ), 2015","^15","IDA","^13","West African CFA franc","^17","Sub-Saharan Africa","^18","Porto-Novo","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1A","HIPC","^1;","Budgetary central government","^1<","General trade system","^9","Benin","^1=","Country uses the 2008 System of National Accounts methodology","^1?","2018","^1@","Lower middle income","^P","BJ","^Q","Benin"]],"id",["^ ","^2","atom","^3","BEN"],"^S",["^ ","^2","atom","^3","XN"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Benin"],"^V",["^ ","^2","atom","^3","ZG"]],"KE",["^ ","^L",["^ ","^2","atom","^3","ZF"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Y","2013","^Z","Malaria Indicator Survey, 2020","^1B","Fiscal year end: June 30; reporting period for national accounts data: CY.","^[","2016","^10","Value added at basic prices (VAB)","^11","BPM6","^12","2009","^M","KE","^N","Kenya","^O","Republic of Kenya","^R","Kenya","^14","Integrated household survey (IHS), 2015/16","^15","Blend","^13","Kenyan shilling","^17","Sub-Saharan Africa","^18","Nairobi","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1;","Consolidated central government","^1<","General trade system","^9","Kenya","^1=","Country uses the 2008 System of National Accounts methodology","^1?","2018","^1@","Lower middle income","^P","KE","^Q","Kenya"]],"id",["^ ","^2","atom","^3","KEN"],"^S",["^ ","^2","atom","^3","XN"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Kenya"],"^V",["^ ","^2","atom","^3","ZG"]],"NP",["^ ","^L",["^ ","^2","atom","^3","8S"],"en",["^ ","^2","atom","^3",["^ ","^X","2021, 2017, 2011","^Y","2011","^Z","Multiple Indicator Cluster Survey, 2019","^1B","The reporting period for national accounts data is designated as either calendar year basis (CY) or fiscal year basis (FY). For this country, it is fiscal year-based (fiscal year-end: July 14). Also, an estimate (PA.NUS.ATLS) of the exchange rate covers the same period and thus differs from the official exchange rate (CY).","^[","2010/11","^10","Value added at basic prices (VAB)","^11","BPM5 (Converted into BPM6 by IMF)","^12","2011","^M","NP","^N","Nepal","^O","Nepal","^R","Nepal","^14","Living Standards Measurement Study Survey (LSMS), 2010/11","^15","IDA","^13","Nepalese rupee","^17","South Asia","^18","Kathmandu","^19","Enhanced General Data Dissemination System (e-GDDS)","^1:","Actual","^1;","Budgetary central government","^1<","General trade system","^9","Nepal","^1=","Country uses the 2008 System of National Accounts methodology","^1>","2011-2012","^1?","2017","^1@","Lower middle income","^P","NP","^Q","Nepal"]],"id",["^ ","^2","atom","^3","NPL"],"^S",["^ ","^2","atom","^3","XN"],"^T",["^ ","^2","atom","^3","country"],"^U",["^ ","^2","atom"],"^9",["^ ","^2","atom","^3","Nepal"],"^V",["^ ","^2","atom","^3","8S"]]],"indicatorMeta",["^ ","IC.FRM.FEMM.ZS",["^ ","License_Type",["^ ","^2","atom","^3","CC BY-4.0"],"License_URL",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"WDITable",["^ ","^2","atom","^3","5.2"],"decimal",["^ ","^2","atom","^3",0],"description",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","Generalcomments","Relevance to gender indicator: Women are vastly underrepresented in decision making positions at the top level in the private sector and this indicator monitors progress that has been made.","Statisticalconceptandmethodology","Firm-level surveys have been conducted since the 1990's by different units within the World Bank. Since 2005-06, most data collection efforts have been centralized within the Enterprise Analysis Unit. Surveys implemented by the Enterprise Analysis Unit follow the Global Methodology.\n\nPrivate contractors conduct the Enterprise Surveys on behalf of the World Bank. Due to sensitive survey questions addressing business-government relations and bribery-related topics, private contractors, rather than any government agency or an organization/institution associated with government, are hired by the World Bank to collect the data.\n\nConfidentiality of the survey respondents and the sensitive information they provide is necessary to ensure the greatest degree of survey participation, integrity and confidence in the quality of the data. Surveys are usually carried out in cooperation with business organizations and government agencies promoting job creation and economic growth, but confidentiality is never compromised.\n\nThe Enterprise Survey is answered by business owners and top managers. Sometimes the survey respondent calls company accountants and human resource managers into the interview to answer questions in the sales and labor sections of the survey. Typically 1200-1800 interviews are conducted in larger economies, 360 interviews are conducted in medium-sized economies, and for smaller economies, 150 interviews take place.\n\nThe manufacturing and services sectors are the primary business sectors of interest. This corresponds to firms classified with ISIC codes 15-37, 45, 50-52, 55, 60-64, and 72 (ISIC Rev.3.1). Formal (registered) companies with 5 or more employees are targeted for interview. Services firms include construction, retail, wholesale, hotels, restaurants, transport, storage, communications, and IT. Firms with 100% government/state ownership are not eligible to participate in an Enterprise Survey. Occasionally, for a few surveyed countries, other sectors are included in the companies surveyed such as education or health-related businesses. In each country, businesses in the cities/regions of major economic activity are interviewed.\n\nIn some countries, other surveys, which depart from the usual Enterprise Survey methodology, are conducted. Examples include 1) Informal Surveys- surveys of informal (unregistered) enterprises, 2) Micro Surveys- surveys fielded to registered firms with less than five employees, and 3) Financial Crisis Assessment Surveys- short surveys administered by telephone to assess the effects of the global financial crisis of 2008-09.\n\nThe Enterprise Surveys Unit uses two instruments: the Manufacturing Questionnaire and the Services Questionnaire. Although many questions overlap, some are only applicable to one type of business. For example, retail firms are not asked about production and nonproduction workers.\n\nThe standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures.\n\nOver 90% of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance. The mode of data collection is face-to-face interviews.","Aggregationmethod","Unweighted average","Periodicity","Annual","shortname","Firms with female top manager","Developmentrelevance","Firms evaluating investment options, governments interested in improving business conditions, and economists seeking to explain economic performance have all grappled with defining and measuring the business environment. The firm-level data from Enterprise Surveys provide a useful tool for benchmarking economies across a large number of indicators measured at the firm level.\n\nFirms with female top manager measures women's integration as decision makers. Benchmarking firms with female top manager is important to achieving gender equality promotion and empowerment of women. The gender topic provides information about women's entrepreneurship and economic participation in the labor force.","Source","World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).","Longdefinition","Firms with female top manager refers to the percentage of firms in the private sector who have females as top managers. Top manager refers to the highest ranking manager or CEO of the establishment. This person may be the owner if he/she works as the manager of the firm. The results are based on surveys of more than 100,000 private firms.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","sourceNote","Firms with female top manager refers to the percentage of firms in the private sector who have females as top managers. Top manager refers to the highest ranking manager or CEO of the establishment. This person may be the owner if he/she works as the manager of the firm. The results are based on surveys of more than 100,000 private firms.","Limitationsandexceptions","The sampling methodology for Enterprise Surveys is stratified random sampling. In a simple random sample, all members of the population have the same probability of being selected and no weighting of the observations is necessary. In a stratified random sample, all population units are grouped within homogeneous groups and simple random samples are selected within each group. This method allows computing estimates for each of the strata with a specified level of precision while population estimates can also be estimated by properly weighting individual observations. The sampling weights take care of the varying probabilities of selection across different strata. Under certain conditions, estimates' precision under stratified random sampling will be higher than under simple random sampling (lower standard errors may result from the estimation procedure).\n\nThe strata for Enterprise Surveys are firm size, business sector, and geographic region within a country. Firm size levels are 5-19 (small), 20-99 (medium), and 100+ employees (large-sized firms). Since in most economies, the majority of firms are small and medium-sized, Enterprise Surveys oversample large firms since larger firms tend to be engines of job creation. Sector breakdown is usually manufacturing, retail, and other services. For larger economies, specific manufacturing sub-sectors are selected as additional strata on the basis of employment, value-added, and total number of establishments figures. Geographic regions within a country are selected based on which cities/regions collectively contain the majority of economic activity.\n\nIdeally the survey sample frame is derived from the universe of eligible firms obtained from the country’s statistical office. Sometimes the master list of firms is obtained from other government agencies such as tax or business licensing authorities. In some cases, the list of firms is obtained from business associations or marketing databases. In a few cases, the sample frame is created via block enumeration, where the World Bank “manually” constructs a list of eligible firms after 1) partitioning a country’s cities of major economic activity into clusters and blocks, 2) randomly selecting a subset of blocks which will then be enumerated. In surveys conducted since 2005-06, survey documentation which explains the source of the sample frame and any special circumstances encountered during survey fieldwork are included with the collected datasets.\n\nObtaining panel data, i.e. interviews with the same firms across multiple years, is a priority in current Enterprise Surveys. When conducting a new Enterprise Survey in a country where data was previously collected, maximal effort is expended to re-interview as many firms (from the prior survey) as possible. For these panel firms, sampling weights can be adjusted to take into account the resulting altered probabilities of inclusion in the sample frame.","^1E","CC BY-4.0","Topic","Private Sector & Trade: Business environment","fullname","Firms with female top manager (% of firms)","sourceOrganization","World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).","Notesfromoriginalsource","All surveys were administered using the Enterprise Surveys methodology as outlined in the Methodology page which can be found from www.enterprisesurveys.org.","IndicatorName","Firms with female top manager (% of firms)"]],"^1U",["^ ","^2","atom","^3","Firms with female top manager (% of firms)"],"id",["^ ","^2","atom","^3","IC.FRM.FEMM.ZS"],"last_year",["^ ","^2","atom","^3",[2023,["CI","MU","VU","ME","KH","PE","WS","MX","T2","CO","BA","T5","MA","CR","NZ","PS","BW","TZ","XG","HR","PH","SL","GM","ID","VN","BB","TG","RO","GE","BG","GH","SC","GR","LS","SV","T3","T6","T7","TD","PT","RW","EE","MK","T4","SK","CF","PY","SG","HK","NP","ZT","HU","KG"]]],"relatedIndicators",["^ ","^2","atom","^3",["IC.FRM.CRIM.ZS","IC.FRM.INFM.ZS","IC.FRM.THEV.ZS","IC.FRM.CORR.ZS","IC.FRM.BNKS.ZS","IC.FRM.OUTG.ZS","IC.FRM.RSDV.ZS","IC.FRM.TRNG.ZS","IC.FRM.METG.ZS"]],"^1N",["^ ","^2","atom","^3","Firms with female top manager"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Firms with female top manager refers to the percentage of firms in the private sector who have females as top managers. Top manager refers to the highest ranking manager or CEO of the establishment. This person may be the owner if he/she works as the manager of the firm. The results are based on surveys of more than 100,000 private firms."],"^1V",["^ ","^2","atom","^3","World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/)."],"sourceURL",["^ ","^2","atom","^3","http://www.enterprisesurveys.org/"],"topics",["^ ","^2","atom","^3",[["^ ","id","12","^3","Private Sector"],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"IC.FRM.FEMO.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","WV.5"],"^1H",["^ ","^2","atom","^3",1],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","Firms evaluating investment options, governments interested in improving business conditions, and economists seeking to explain economic performance have all grappled with defining and measuring the business environment. The firm-level data from Enterprise Surveys provide a useful tool for benchmarking economies across a large number of indicators measured at the firm level.\n\nFemale participation in firm ownership and in management measures women's integration as decision makers. Benchmarking female participation in firm ownership, management, and the workforce is important to achieving gender equality promotion and empowerment of women. The gender topic provides information about women's entrepreneurship and economic participation in the labor force.","^1K","Firm-level surveys have been conducted since the 1990's by different units within the World Bank. Since 2005-06, most data collection efforts have been centralized within the Enterprise Analysis Unit. Surveys implemented by the Enterprise Analysis Unit follow the Global Methodology.\n\nPrivate contractors conduct the Enterprise Surveys on behalf of the World Bank. Due to sensitive survey questions addressing business-government relations and bribery-related topics, private contractors, rather than any government agency or an organization/institution associated with government, are hired by the World Bank to collect the data.\n\nConfidentiality of the survey respondents and the sensitive information they provide is necessary to ensure the greatest degree of survey participation, integrity and confidence in the quality of the data. Surveys are usually carried out in cooperation with business organizations and government agencies promoting job creation and economic growth, but confidentiality is never compromised.\n\nThe Enterprise Survey is answered by business owners and top managers. Sometimes the survey respondent calls company accountants and human resource managers into the interview to answer questions in the sales and labor sections of the survey. Typically 1200-1800 interviews are conducted in larger economies, 360 interviews are conducted in medium-sized economies, and for smaller economies, 150 interviews take place.\n\nThe manufacturing and services sectors are the primary business sectors of interest. This corresponds to firms classified with ISIC codes 15-37, 45, 50-52, 55, 60-64, and 72 (ISIC Rev.3.1). Formal (registered) companies with 5 or more employees are targeted for interview. Services firms include construction, retail, wholesale, hotels, restaurants, transport, storage, communications, and IT. Firms with 100% government/state ownership are not eligible to participate in an Enterprise Survey. Occasionally, for a few surveyed countries, other sectors are included in the companies surveyed such as education or health-related businesses. In each country, businesses in the cities/regions of major economic activity are interviewed.\n\nIn some countries, other surveys, which depart from the usual Enterprise Survey methodology, are conducted. Examples include 1) Informal Surveys- surveys of informal (unregistered) enterprises, 2) Micro Surveys- surveys fielded to registered firms with less than five employees, and 3) Financial Crisis Assessment Surveys- short surveys administered by telephone to assess the effects of the global financial crisis of 2008-09.\n\nThe Enterprise Surveys Unit uses two instruments: the Manufacturing Questionnaire and the Services Questionnaire. Although many questions overlap, some are only applicable to one type of business. For example, retail firms are not asked about production and nonproduction workers.\n\nThe standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures.\n\nOver 90% of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance. The mode of data collection is face-to-face interviews.","^1L","Unweighted average","^1M","Annual","^1N","Firms with female participation in ownership","^1T","Private Sector & Trade: Business environment","^1P","World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).","^1Q","Firms with female participation in ownership are the percentage of firms with a woman among the principal owners.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Firms with female participation in ownership are the percentage of firms with a woman among the principal owners.","^1E","CC BY-4.0","^1S","The sampling methodology for Enterprise Surveys is stratified random sampling. In a simple random sample, all members of the population have the same probability of being selected and no weighting of the observations is necessary. In a stratified random sample, all population units are grouped within homogeneous groups and simple random samples are selected within each group. This method allows computing estimates for each of the strata with a specified level of precision while population estimates can also be estimated by properly weighting individual observations. The sampling weights take care of the varying probabilities of selection across different strata. Under certain conditions, estimates' precision under stratified random sampling will be higher than under simple random sampling (lower standard errors may result from the estimation procedure).\n\nThe strata for Enterprise Surveys are firm size, business sector, and geographic region within a country. Firm size levels are 5-19 (small), 20-99 (medium), and 100+ employees (large-sized firms). Since in most economies, the majority of firms are small and medium-sized, Enterprise Surveys oversample large firms since larger firms tend to be engines of job creation. Sector breakdown is usually manufacturing, retail, and other services. For larger economies, specific manufacturing sub-sectors are selected as additional strata on the basis of employment, value-added, and total number of establishments figures. Geographic regions within a country are selected based on which cities/regions collectively contain the majority of economic activity.\n\nIdeally the survey sample frame is derived from the universe of eligible firms obtained from the country’s statistical office. Sometimes the master list of firms is obtained from other government agencies such as tax or business licensing authorities. In some cases, the list of firms is obtained from business associations or marketing databases. In a few cases, the sample frame is created via block enumeration, where the World Bank “manually” constructs a list of eligible firms after 1) partitioning a country’s cities of major economic activity into clusters and blocks, 2) randomly selecting a subset of blocks which will then be enumerated. In surveys conducted since 2005-06, survey documentation which explains the source of the sample frame and any special circumstances encountered during survey fieldwork are included with the collected datasets.\n\nObtaining panel data, i.e. interviews with the same firms across multiple years, is a priority in current Enterprise Surveys. When conducting a new Enterprise Survey in a country where data was previously collected, maximal effort is expended to re-interview as many firms (from the prior survey) as possible. For these panel firms, sampling weights can be adjusted to take into account the resulting altered probabilities of inclusion in the sample frame.","^1U","Firms with female participation in ownership (% of firms)","^1V","World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).","^1W","All surveys were administered using the Enterprise Surveys methodology as outlined in the Methodology page which can be found from www.enterprisesurveys.org.","^1X","Firms with female participation in ownership (% of firms)"]],"^1U",["^ ","^2","atom","^3","Firms with female participation in ownership (% of firms)"],"id",["^ ","^2","atom","^3","IC.FRM.FEMO.ZS"],"^1Y",["^ ","^2","atom","^3",[2023,["CI","MU","VU","ME","KH","PE","WS","MX","T2","CO","BA","T5","MA","CR","NZ","PS","BW","TZ","XG","HR","PH","SL","GM","ID","VN","BB","TG","RO","GE","BG","GH","SC","GR","LS","SV","T3","T6","T7","TD","PT","RW","EE","MK","T4","SK","CF","PY","SG","HK","NP","ZT","HU","KG"]]],"^1Z",["^ ","^2","atom","^3",["IC.FRM.CRIM.ZS","IC.FRM.INFM.ZS","IC.FRM.THEV.ZS","IC.FRM.CORR.ZS","IC.FRM.BNKS.ZS","IC.FRM.OUTG.ZS","IC.FRM.RSDV.ZS","IC.FRM.TRNG.ZS","IC.FRM.FEMM.ZS"]],"^1N",["^ ","^2","atom","^3","Firms with female participation in ownership"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Firms with female participation in ownership are the percentage of firms with a woman among the principal owners."],"^1V",["^ ","^2","atom","^3","World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/)."],"^1[",["^ ","^2","atom","^3","http://www.enterprisesurveys.org/"],"^20",["^ ","^2","atom","^3",[["^ ","id","12","^3","Private Sector"],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SE.ADT.1524.LT.FE.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.10"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","Literacy rate is an outcome indicator to evaluate educational attainment. This data can predict the quality of future labor force and can be used in ensuring policies for life skills for men and women.\n\nIt can be also used as a proxy instrument to see the effectiveness of education system; a high literacy rate suggests the capacity of an education system to provide a large population with opportunities to acquire literacy skills. The accumulated achievement of education is fundamental for further intellectual growth and social and economic development, although it doesn't necessarily ensure the quality of education.\n\nLiterate women implies that they can seek and use information for the betterment of the health, nutrition and education of their household members. Literate women are also empowered to play a meaningful role.","^1K","Literacy statistics for most countries cover the population ages 15 and older, but some include younger ages or are confined to age ranges that tend to inflate literacy rates. The youth literacy rate for ages 15-24 reflects recent progress in education. It measures the accumulated outcomes of primary education over the previous 10 years or so by indicating the proportion of the population who have passed through the primary education system and acquired basic literacy and numeracy skills. Generally, literacy also encompasses numeracy, the ability to make simple arithmetic calculations.\n\nData on literacy are compiled by the UNESCO Institute for Statistics based on national censuses and household surveys and, for countries without recent literacy data, using the Global Age-Specific Literacy Projection Model (GALP). For detailed information, see www.uis.unesco.org.","^1L","Weighted average","^1M","Annual","^1T","Education: Outcomes","^1P","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds.","^1Q","Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.","^1E","CC BY-4.0","^1S","In practice, literacy is difficult to measure. Estimating literacy rates requires census or survey measurements under controlled conditions. Many countries report the number of literate people from self-reported data. Some use educational attainment data as a proxy but apply different lengths of school attendance or levels of completion. Ant there is a trend among recent national and international surveys toward using a direct reading test of literacy skills. Because definitions and methods of data collection differ across countries, data should be used cautiously.","^1U","Literacy rate, youth female (% of females ages 15-24)","^1V","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds.","^1N","Literacy rate, youth female","^1X","Literacy rate, youth female (% of females ages 15-24)"]],"^1U",["^ ","^2","atom","^3","Literacy rate, youth female (% of females ages 15-24)"],"id",["^ ","^2","atom","^3","SE.ADT.1524.LT.FE.ZS"],"^1Y",["^ ","^2","atom","^3",[2023,["AZ","T2","T5","YE","XG","BH","SV","T3","T6","T7","T4","JO","ZT","IN"]]],"^1Z",["^ ","^2","atom","^3",["SE.ADT.1524.LT.FM.ZS","SE.ADT.1524.LT.MA.ZS","SE.ADT.1524.LT.ZS","SE.ADT.LITR.FE.ZS","SE.ADT.LITR.MA.ZS","SE.ADT.LITR.ZS","SE.PRM.TCAQ.ZS","SE.PRM.PRSL.ZS","SE.LPV.PRIM.MA"]],"^1N",["^ ","^2","atom","^3","Literacy rate, youth female"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life."],"^1V",["^ ","^2","atom","^3","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds."],"^1[",["^ ","^2","atom","^3","https://apiportal.uis.unesco.org/bdds"],"^20",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SE.ADT.1524.LT.MA.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.10"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","Literacy rate is an outcome indicator to evaluate educational attainment. This data can predict the quality of future labor force and can be used in ensuring policies for life skills for men and women.\n\nIt can be also used as a proxy instrument to see the effectiveness of education system; a high literacy rate suggests the capacity of an education system to provide a large population with opportunities to acquire literacy skills. The accumulated achievement of education is fundamental for further intellectual growth and social and economic development, although it doesn't necessarily ensure the quality of education.\n\nLiterate women implies that they can seek and use information for the betterment of the health, nutrition and education of their household members. Literate women are also empowered to play a meaningful role.","^1K","Literacy statistics for most countries cover the population ages 15 and older, but some include younger ages or are confined to age ranges that tend to inflate literacy rates. The youth literacy rate for ages 15-24 reflects recent progress in education. It measures the accumulated outcomes of primary education over the previous 10 years or so by indicating the proportion of the population who have passed through the primary education system and acquired basic literacy and numeracy skills. Generally, literacy also encompasses numeracy, the ability to make simple arithmetic calculations.\n\nData on literacy are compiled by the UNESCO Institute for Statistics based on national censuses and household surveys and, for countries without recent literacy data, using the Global Age-Specific Literacy Projection Model (GALP). For detailed information, see www.uis.unesco.org.","^1L","Weighted average","^1M","Annual","^1T","Education: Outcomes","^1P","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds.","^1Q","Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.","^1E","CC BY-4.0","^1S","In practice, literacy is difficult to measure. Estimating literacy rates requires census or survey measurements under controlled conditions. Many countries report the number of literate people from self-reported data. Some use educational attainment data as a proxy but apply different lengths of school attendance or levels of completion. Ant there is a trend among recent national and international surveys toward using a direct reading test of literacy skills. Because definitions and methods of data collection differ across countries, data should be used cautiously.","^1U","Literacy rate, youth male (% of males ages 15-24)","^1V","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds.","^1N","Literacy rate, youth male","^1X","Literacy rate, youth male (% of males ages 15-24)"]],"^1U",["^ ","^2","atom","^3","Literacy rate, youth male (% of males ages 15-24)"],"id",["^ ","^2","atom","^3","SE.ADT.1524.LT.MA.ZS"],"^1Y",["^ ","^2","atom","^3",[2023,["AZ","T2","T5","YE","XG","BH","SV","T3","T6","T7","T4","JO","ZT","IN"]]],"^1Z",["^ ","^2","atom","^3",["SE.ADT.1524.LT.FM.ZS","SE.ADT.1524.LT.ZS","SE.ADT.1524.LT.FE.ZS","SE.ADT.LITR.FE.ZS","SE.ADT.LITR.MA.ZS","SE.ADT.LITR.ZS","SE.PRM.TCAQ.ZS","SE.PRM.PRSL.ZS","SE.LPV.PRIM.MA"]],"^1N",["^ ","^2","atom","^3","Literacy rate, youth male"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life."],"^1V",["^ ","^2","atom","^3","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds."],"^1[",["^ ","^2","atom","^3","https://apiportal.uis.unesco.org/bdds"],"^20",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SE.ADT.LITR.FE.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.10"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","Literacy rate is an outcome indicator to evaluate educational attainment. This data can predict the quality of future labor force and can be used in ensuring policies for life skills for men and women.\n\nIt can be also used as a proxy instrument to see the effectiveness of education system; a high literacy rate suggests the capacity of an education system to provide a large population with opportunities to acquire literacy skills. The accumulated achievement of education is fundamental for further intellectual growth and social and economic development, although it doesn't necessarily ensure the quality of education.\n\nLiterate women implies that they can seek and use information for the betterment of the health, nutrition and education of their household members. Literate women are also empowered to play a meaningful role.","^1K","Literacy statistics for most countries cover the population ages 15 and older, but some include younger ages or are confined to age ranges that tend to inflate literacy rates. The youth literacy rate for ages 15-24 reflects recent progress in education. It measures the accumulated outcomes of primary education over the previous 10 years or so by indicating the proportion of the population who have passed through the primary education system and acquired basic literacy and numeracy skills. Generally, literacy also encompasses numeracy, the ability to make simple arithmetic calculations.\n\nData on literacy are compiled by the UNESCO Institute for Statistics based on national censuses and household surveys and, for countries without recent literacy data, using the Global Age-Specific Literacy Projection Model (GALP). For detailed information, see www.uis.unesco.org.","^1L","Weighted average","^1M","Annual","^1T","Education: Outcomes","^1P","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds.","^1Q","Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.","^1E","CC BY-4.0","^1S","In practice, literacy is difficult to measure. Estimating literacy rates requires census or survey measurements under controlled conditions. Many countries report the number of literate people from self-reported data. Some use educational attainment data as a proxy but apply different lengths of school attendance or levels of completion. Ant there is a trend among recent national and international surveys toward using a direct reading test of literacy skills. Because definitions and methods of data collection differ across countries, data should be used cautiously.","^1U","Literacy rate, adult female (% of females ages 15 and above)","^1V","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds.","^1N","Literacy rate, adult female","^1X","Literacy rate, adult female (% of females ages 15 and above)"]],"^1U",["^ ","^2","atom","^3","Literacy rate, adult female (% of females ages 15 and above)"],"id",["^ ","^2","atom","^3","SE.ADT.LITR.FE.ZS"],"^1Y",["^ ","^2","atom","^3",[2023,["AZ","T2","T5","YE","XG","BH","SV","T3","T6","T7","T4","JO","ZT","IN"]]],"^1Z",["^ ","^2","atom","^3",["SE.ADT.LITR.MA.ZS","SE.ADT.LITR.ZS","SE.ADT.1524.LT.FM.ZS","SE.ADT.1524.LT.MA.ZS","SE.ADT.1524.LT.ZS","SE.ADT.1524.LT.FE.ZS","SE.PRM.TCAQ.ZS","SE.PRM.PRSL.ZS","SE.LPV.PRIM.MA"]],"^1N",["^ ","^2","atom","^3","Literacy rate, adult female"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life."],"^1V",["^ ","^2","atom","^3","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds."],"^1[",["^ ","^2","atom","^3","https://apiportal.uis.unesco.org/bdds"],"^20",["^ ","^2","atom","^3",[["^ ","id","17","^3","Gender"],["^ ","id","4","^3","Education "]]],"^J",["^ ","^2","atom","^3","percent"]],"SE.ADT.LITR.MA.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.10"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","Literacy rate is an outcome indicator to evaluate educational attainment. This data can predict the quality of future labor force and can be used in ensuring policies for life skills for men and women.\n\nIt can be also used as a proxy instrument to see the effectiveness of education system; a high literacy rate suggests the capacity of an education system to provide a large population with opportunities to acquire literacy skills. The accumulated achievement of education is fundamental for further intellectual growth and social and economic development, although it doesn't necessarily ensure the quality of education.\n\nLiterate women implies that they can seek and use information for the betterment of the health, nutrition and education of their household members. Literate women are also empowered to play a meaningful role.","^1K","Literacy statistics for most countries cover the population ages 15 and older, but some include younger ages or are confined to age ranges that tend to inflate literacy rates. The youth literacy rate for ages 15-24 reflects recent progress in education. It measures the accumulated outcomes of primary education over the previous 10 years or so by indicating the proportion of the population who have passed through the primary education system and acquired basic literacy and numeracy skills. Generally, literacy also encompasses numeracy, the ability to make simple arithmetic calculations.\n\nData on literacy are compiled by the UNESCO Institute for Statistics based on national censuses and household surveys and, for countries without recent literacy data, using the Global Age-Specific Literacy Projection Model (GALP). For detailed information, see www.uis.unesco.org.","^1L","Weighted average","^1M","Annual","^1T","Education: Outcomes","^1P","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds.","^1Q","Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.","^1E","CC BY-4.0","^1S","In practice, literacy is difficult to measure. Estimating literacy rates requires census or survey measurements under controlled conditions. Many countries report the number of literate people from self-reported data. Some use educational attainment data as a proxy but apply different lengths of school attendance or levels of completion. Ant there is a trend among recent national and international surveys toward using a direct reading test of literacy skills. Because definitions and methods of data collection differ across countries, data should be used cautiously.","^1U","Literacy rate, adult male (% of males ages 15 and above)","^1V","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds.","^1N","Literacy rate, adult male","^1X","Literacy rate, adult male (% of males ages 15 and above)"]],"^1U",["^ ","^2","atom","^3","Literacy rate, adult male (% of males ages 15 and above)"],"id",["^ ","^2","atom","^3","SE.ADT.LITR.MA.ZS"],"^1Y",["^ ","^2","atom","^3",[2023,["AZ","T2","T5","XG","BH","SV","T3","T6","T7","T4","JO","ZT","IN"]]],"^1Z",["^ ","^2","atom","^3",["SE.ADT.LITR.FE.ZS","SE.ADT.LITR.ZS","SE.ADT.1524.LT.FM.ZS","SE.ADT.1524.LT.MA.ZS","SE.ADT.1524.LT.ZS","SE.ADT.1524.LT.FE.ZS","SE.PRM.TCAQ.ZS","SE.PRM.PRSL.ZS","SE.LPV.PRIM.MA"]],"^1N",["^ ","^2","atom","^3","Literacy rate, adult male"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life."],"^1V",["^ ","^2","atom","^3","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds."],"^1[",["^ ","^2","atom","^3","https://apiportal.uis.unesco.org/bdds"],"^20",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SE.ENR.PRIM.FM.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom"],"^1H",["^ ","^2","atom","^3",2],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","The Gender Parity Index (GPI) indicates parity between girls and boys. A GPI of less than 1 suggests girls are more disadvantaged than boys in learning opportunities and a GPI of greater than 1 suggests the other way around. Eliminating gender disparities in education would help increase the status and capabilities of women.","^1K","This indicator is calculated by dividing female gross enrollment ratio in primary education by male gross enrollment ratio in primary education. \n\nData on education are collected by the UNESCO Institute for Statistics from official responses to its annual education survey. All the data are mapped to the International Standard Classification of Education (ISCED) to ensure the comparability of education programs at the international level. The current version was formally adopted by UNESCO Member States in 2011. \n\nThe reference years reflect the school year for which the data are presented. In some countries the school year spans two calendar years (for example, from September 2010 to June 2011); in these cases the reference year refers to the year in which the school year ended (2011 in the example).","^1L","Weighted average","^1M","Annual","^1T","Education: Participation","^1P","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed October 24, 2022. https://apiportal.uis.unesco.org/bdds.","^1Q","Gender parity index for gross enrollment ratio in primary education is the ratio of girls to boys enrolled at primary level in public and private schools.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Gender parity index for gross enrollment ratio in primary education is the ratio of girls to boys enrolled at primary level in public and private schools.","^1E","CC BY-4.0","^1U","School enrollment, primary (gross), gender parity index (GPI)","^1V","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed October 24, 2022. https://apiportal.uis.unesco.org/bdds.","^1N","School enrollment, primary","^1X","School enrollment, primary (gross), gender parity index (GPI)"]],"^1U",["^ ","^2","atom","^3","School enrollment, primary (gross), gender parity index (GPI)"],"id",["^ ","^2","atom","^3","SE.ENR.PRIM.FM.ZS"],"^1Y",["^ ","^2","atom","^3",[2022,["CI","TH","GM","NP"]]],"^1Z",["^ ","^2","atom","^3",["SE.ENR.TERT.FM.ZS","SE.ENR.SECO.FM.ZS","SE.ENR.PRSC.FM.ZS","SE.PRM.TCAQ.ZS","SE.PRM.PRSL.ZS","SE.LPV.PRIM.MA","SE.LPV.PRIM.SD","SE.PRM.NINT.FE.ZS","SE.PRM.PRSL.MA.ZS"]],"^1N",["^ ","^2","atom","^3","School enrollment, primary"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Gender parity index for gross enrollment ratio in primary education is the ratio of girls to boys enrolled at primary level in public and private schools."],"^1V",["^ ","^2","atom","^3","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed October 24, 2022. https://apiportal.uis.unesco.org/bdds."],"^1[",["^ ","^2","atom","^3","https://apiportal.uis.unesco.org/bdds"],"^20",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "],["^ ","id","17","^3","Gender"],["^ ","id","15","^3","Social Development "]]],"^J",["^ ","^2","atom","^3","unknown"]],"SE.ENR.PRSC.FM.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom"],"^1H",["^ ","^2","atom","^3",2],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","The Gender Parity Index (GPI) indicates parity between girls and boys. A GPI of less than 1 suggests girls are more disadvantaged than boys in learning opportunities and a GPI of greater than 1 suggests the other way around. Eliminating gender disparities in education would help increase the status and capabilities of women.","^1K","This indicator is calculated by dividing female gross enrollment ratio in primary and secondary education by male gross enrollment ratio in primary and secondary education. \n\nData on education are collected by the UNESCO Institute for Statistics from official responses to its annual education survey. All the data are mapped to the International Standard Classification of Education (ISCED) to ensure the comparability of education programs at the international level. The current version was formally adopted by UNESCO Member States in 2011. \n\nThe reference years reflect the school year for which the data are presented. In some countries the school year spans two calendar years (for example, from September 2010 to June 2011); in these cases the reference year refers to the year in which the school year ended (2011 in the example).","^1L","Weighted average","^1M","Annual","^1T","Education: Participation","^1P","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed October 24, 2022. https://apiportal.uis.unesco.org/bdds.","^1Q","Gender parity index for gross enrollment ratio in primary and secondary education is the ratio of girls to boys enrolled at primary and secondary levels in public and private schools.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Gender parity index for gross enrollment ratio in primary and secondary education is the ratio of girls to boys enrolled at primary and secondary levels in public and private schools.","^1E","CC BY-4.0","^1U","School enrollment, primary and secondary (gross), gender parity index (GPI)","^1V","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed October 24, 2022. https://apiportal.uis.unesco.org/bdds.","^1N","School enrollment, primary and secondary","^1X","School enrollment, primary and secondary (gross), gender parity index (GPI)"]],"^1U",["^ ","^2","atom","^3","School enrollment, primary and secondary (gross), gender parity index (GPI)"],"id",["^ ","^2","atom","^3","SE.ENR.PRSC.FM.ZS"],"^1Y",["^ ","^2","atom","^3",[2022,["TH","NP"]]],"^1Z",["^ ","^2","atom","^3",["SE.ENR.TERT.FM.ZS","SE.ENR.SECO.FM.ZS","SE.ENR.PRIM.FM.ZS","SE.PRM.TCAQ.ZS","SE.PRM.PRSL.ZS","SE.LPV.PRIM.MA","SE.LPV.PRIM.SD","SE.PRM.NINT.FE.ZS","SE.PRM.PRSL.MA.ZS"]],"^1N",["^ ","^2","atom","^3","School enrollment, primary and secondary"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Gender parity index for gross enrollment ratio in primary and secondary education is the ratio of girls to boys enrolled at primary and secondary levels in public and private schools."],"^1V",["^ ","^2","atom","^3","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed October 24, 2022. https://apiportal.uis.unesco.org/bdds."],"^1[",["^ ","^2","atom","^3","https://apiportal.uis.unesco.org/bdds"],"^20",["^ ","^2","atom","^3",[["^ ","id","2","^3","Aid Effectiveness "],["^ ","id","19","^3","Climate Change"],["^ ","id","4","^3","Education "],["^ ","id","17","^3","Gender"],["^ ","id","15","^3","Social Development "]]],"^J",["^ ","^2","atom","^3","unknown"]],"SE.PRM.CMPT.FE.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.10"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","The World Bank and the UNESCO Institute for Statistics jointly developed the primary completion rate indicator. Increasingly used as a core indicator of an education system's performance, it reflects an education system's coverage and the educational attainment of students.","^1K","Primary completion rate is calculated by dividing the number of new entrants (enrollment minus repeaters) in the last grade of primary education, regardless of age, by the population at the entrance age for the last grade of primary education and multiplying by 100. \n\nData on education are collected by the UNESCO Institute for Statistics from official responses to its annual education survey. All the data are mapped to the International Standard Classification of Education (ISCED) to ensure the comparability of education programs at the international level. The current version was formally adopted by UNESCO Member States in 2011. Population data are drawn from the United Nations Population Division. Using a single source for population data standardizes definitions, estimations, and interpolation methods, ensuring a consistent methodology across countries and minimizing potential enumeration problems in national censuses.\n\nThe reference years reflect the school year for which the data are presented. In some countries the school year spans two calendar years (for example, from September 2010 to June 2011); in these cases the reference year refers to the year in which the school year ended (2011 in the example).","^1L","Weighted average","^1M","Annual","^1T","Education: Outcomes","^1P","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds.","^1Q","Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education.","^1E","CC BY-4.0","^1S","Data limitations preclude adjusting for students who drop out during the final year of primary education. Thus this rate is a proxy that should be taken as an upper estimate of the actual primary completion rate.\n \nThere are many reasons why the primary completion rate can exceed 100 percent. The numerator may include late entrants and overage children who have repeated one or more grades of primary education as well as children who entered school early, while the denominator is the number of children at the entrance age for the last grade of primary education.","^1U","Primary completion rate, female (% of relevant age group)","^1V","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds.","^1N","Primary completion rate, female","^1X","Primary completion rate, female (% of relevant age group)"]],"^1U",["^ ","^2","atom","^3","Primary completion rate, female (% of relevant age group)"],"id",["^ ","^2","atom","^3","SE.PRM.CMPT.FE.ZS"],"^1Y",["^ ","^2","atom","^3",[2023,["CI","MW","MO","MZ","SN","BD","KZ","MU","VU","AZ","ME","PR","LA","KH","CD","PE","BZ","WS","TH","PA","T2","BA","VE","SY","CM","T5","AM","KI","JM","SB","MN","MA","CG","TT","PS","DM","GI","TL","TZ","PH","SL","GM","SZ","ID","BB","TG","GE","MV","DO","ET","SC","BH","LS","LB","SV","MG","BO","LC","UZ","T6","T7","TO","RW","FJ","OM","CU","GT","KY","JO","AE","BF","NE","BY","PY","TV","AL","NR","BN","HN","PW","VC","NP","AD","DZ","EC","MY","SM","ZT","KG","IN","ML"]]],"^1Z",["^ ","^2","atom","^3",["SE.PRM.CMPT.MA.ZS","SE.PRM.CMPT.ZS","SE.PRM.TCAQ.ZS","SE.PRM.PRSL.ZS","SE.PRM.NINT.FE.ZS","SE.PRM.PRSL.MA.ZS","SE.PRM.ENRL","SE.PRM.ENRR","SE.PRM.ENRR.FE"]],"^1N",["^ ","^2","atom","^3","Primary completion rate, female"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education."],"^1V",["^ ","^2","atom","^3","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds."],"^1[",["^ ","^2","atom","^3","https://apiportal.uis.unesco.org/bdds"],"^20",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SE.PRM.CMPT.MA.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.10"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","The World Bank and the UNESCO Institute for Statistics jointly developed the primary completion rate indicator. Increasingly used as a core indicator of an education system's performance, it reflects an education system's coverage and the educational attainment of students.","^1K","Primary completion rate is calculated by dividing the number of new entrants (enrollment minus repeaters) in the last grade of primary education, regardless of age, by the population at the entrance age for the last grade of primary education and multiplying by 100. \n\nData on education are collected by the UNESCO Institute for Statistics from official responses to its annual education survey. All the data are mapped to the International Standard Classification of Education (ISCED) to ensure the comparability of education programs at the international level. The current version was formally adopted by UNESCO Member States in 2011. Population data are drawn from the United Nations Population Division. Using a single source for population data standardizes definitions, estimations, and interpolation methods, ensuring a consistent methodology across countries and minimizing potential enumeration problems in national censuses.\n\nThe reference years reflect the school year for which the data are presented. In some countries the school year spans two calendar years (for example, from September 2010 to June 2011); in these cases the reference year refers to the year in which the school year ended (2011 in the example).","^1L","Weighted average","^1M","Annual","^1T","Education: Outcomes","^1P","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds.","^1Q","Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education.","^1E","CC BY-4.0","^1S","Data limitations preclude adjusting for students who drop out during the final year of primary education. Thus this rate is a proxy that should be taken as an upper estimate of the actual primary completion rate.\n \nThere are many reasons why the primary completion rate can exceed 100 percent. The numerator may include late entrants and overage children who have repeated one or more grades of primary education as well as children who entered school early, while the denominator is the number of children at the entrance age for the last grade of primary education.","^1U","Primary completion rate, male (% of relevant age group)","^1V","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds.","^1N","Primary completion rate, male","^1X","Primary completion rate, male (% of relevant age group)"]],"^1U",["^ ","^2","atom","^3","Primary completion rate, male (% of relevant age group)"],"id",["^ ","^2","atom","^3","SE.PRM.CMPT.MA.ZS"],"^1Y",["^ ","^2","atom","^3",[2023,["CI","MW","MO","MZ","SN","BD","KZ","MU","VU","AZ","ME","PR","LA","KH","CD","PE","BZ","WS","TH","PA","T2","BA","VE","SY","CM","T5","AM","KI","JM","SB","MN","MA","CG","TT","PS","DM","GI","TL","TZ","PH","SL","GM","SZ","ID","BB","TG","GE","MV","DO","ET","SC","BH","LS","LB","SV","MG","BO","LC","UZ","T6","T7","TO","RW","FJ","OM","CU","GT","KY","JO","AE","BF","NE","BY","PY","TV","AL","NR","BN","HN","PW","VC","NP","AD","DZ","EC","MY","SM","ZT","KG","IN","ML"]]],"^1Z",["^ ","^2","atom","^3",["SE.PRM.CMPT.ZS","SE.PRM.CMPT.FE.ZS","SE.PRM.TCAQ.ZS","SE.PRM.PRSL.ZS","SE.PRM.NINT.FE.ZS","SE.PRM.PRSL.MA.ZS","SE.PRM.ENRL","SE.PRM.ENRR","SE.PRM.ENRR.FE"]],"^1N",["^ ","^2","atom","^3","Primary completion rate, male"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education."],"^1V",["^ ","^2","atom","^3","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds."],"^1[",["^ ","^2","atom","^3","https://apiportal.uis.unesco.org/bdds"],"^20",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SE.PRM.GINT.FE.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.9"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","The gross intake ratio in the first grade of primary education indicates the level of access to primary education and the education system's capacity to provide access to primary education. A low gross intake ratio in the first grade of primary education reflects the fact that many children do not enter primary education even though school attendance, at least through the primary level, is mandatory in most countries. Because the gross intake ratio includes all new entrants regardless of age, it can exceed 100 percent in some situations, such as immediately after fees have been abolished or when the number of reenrolled children is large.","^1K","Gross intake ratio in the first grade of primary education is calculated by dividing the number of new entrants (enrollments minus repeaters) in the first grade of primary education, regardless of age, by the population of the official primary entrance age and multiplying the result by 100.\n\nData on education are collected by the UNESCO Institute for Statistics from official responses to its annual education survey. All the data are mapped to the International Standard Classification of Education (ISCED) to ensure the comparability of education programs at the international level. The current version was formally adopted by UNESCO Member States in 2011. Population data are drawn from the United Nations Population Division. Using a single source for population data standardizes definitions, estimations, and interpolation methods, ensuring a consistent methodology across countries and minimizing potential enumeration problems in national censuses.\n\nThe reference years reflect the school year for which the data are presented. In some countries the school year spans two calendar years (for example, from September 2010 to June 2011); in these cases the reference year refers to the year in which the school year ended (2011 in the example).","^1L","Weighted average","^1M","Annual","^1T","Education: Efficiency","^1P","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.","^1Q","Gross intake ratio in first grade of primary education is the number of new entrants in the first grade of primary education regardless of age, expressed as a percentage of the population of the official primary entrance age.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Gross intake ratio in first grade of primary education is the number of new entrants in the first grade of primary education regardless of age, expressed as a percentage of the population of the official primary entrance age.","^1E","CC BY-4.0","^1S","The quality of data is affected when new entrants and repeaters are not correctly distinguished in the first grade of primary education. Caution is also needed for countries with a total population under 100,000 since the United Nations Population Division neither publish nor endorse single-age data for those countries. The data are highly subject to fluctuations in migration and other factors.","^1U","Gross intake ratio in first grade of primary education, female (% of relevant age group)","^1V","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.","^1N","Gross intake ratio in first grade of primary education, female","^1X","Gross intake ratio in first grade of primary education, female (% of relevant age group)"]],"^1U",["^ ","^2","atom","^3","Gross intake ratio in first grade of primary education, female (% of relevant age group)"],"id",["^ ","^2","atom","^3","SE.PRM.GINT.FE.ZS"],"^1Y",["^ ","^2","atom","^3",[2019,["KZ","DJ","GH","NP"]]],"^1Z",["^ ","^2","atom","^3",["SE.PRM.GINT.MA.ZS","SE.PRM.GINT.ZS","SE.PRM.TCAQ.ZS","SE.PRM.PRSL.ZS","SE.PRM.NINT.FE.ZS","SE.PRM.PRSL.MA.ZS","SE.PRM.ENRL","SE.PRM.ENRR","SE.PRM.ENRR.FE"]],"^1N",["^ ","^2","atom","^3","Gross intake ratio in first grade of primary education, female"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Gross intake ratio in first grade of primary education is the number of new entrants in the first grade of primary education regardless of age, expressed as a percentage of the population of the official primary entrance age."],"^1V",["^ ","^2","atom","^3","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020."],"^1[",["^ ","^2","atom","^3","http://uis.unesco.org/"],"^20",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SE.PRM.GINT.MA.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.9"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","The gross intake ratio in the first grade of primary education indicates the level of access to primary education and the education system's capacity to provide access to primary education. A low gross intake ratio in the first grade of primary education reflects the fact that many children do not enter primary education even though school attendance, at least through the primary level, is mandatory in most countries. Because the gross intake ratio includes all new entrants regardless of age, it can exceed 100 percent in some situations, such as immediately after fees have been abolished or when the number of reenrolled children is large.","^1K","Gross intake ratio in the first grade of primary education is calculated by dividing the number of new entrants (enrollments minus repeaters) in the first grade of primary education, regardless of age, by the population of the official primary entrance age and multiplying the result by 100.\n\nData on education are collected by the UNESCO Institute for Statistics from official responses to its annual education survey. All the data are mapped to the International Standard Classification of Education (ISCED) to ensure the comparability of education programs at the international level. The current version was formally adopted by UNESCO Member States in 2011. Population data are drawn from the United Nations Population Division. Using a single source for population data standardizes definitions, estimations, and interpolation methods, ensuring a consistent methodology across countries and minimizing potential enumeration problems in national censuses.\n\nThe reference years reflect the school year for which the data are presented. In some countries the school year spans two calendar years (for example, from September 2010 to June 2011); in these cases the reference year refers to the year in which the school year ended (2011 in the example).","^1L","Weighted average","^1M","Annual","^1T","Education: Efficiency","^1P","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.","^1Q","Gross intake ratio in first grade of primary education is the number of new entrants in the first grade of primary education regardless of age, expressed as a percentage of the population of the official primary entrance age.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Gross intake ratio in first grade of primary education is the number of new entrants in the first grade of primary education regardless of age, expressed as a percentage of the population of the official primary entrance age.","^1E","CC BY-4.0","^1S","The quality of data is affected when new entrants and repeaters are not correctly distinguished in the first grade of primary education. Caution is also needed for countries with a total population under 100,000 since the United Nations Population Division neither publish nor endorse single-age data for those countries. The data are highly subject to fluctuations in migration and other factors.","^1U","Gross intake ratio in first grade of primary education, male (% of relevant age group)","^1V","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.","^1N","Gross intake ratio in first grade of primary education, male","^1X","Gross intake ratio in first grade of primary education, male (% of relevant age group)"]],"^1U",["^ ","^2","atom","^3","Gross intake ratio in first grade of primary education, male (% of relevant age group)"],"id",["^ ","^2","atom","^3","SE.PRM.GINT.MA.ZS"],"^1Y",["^ ","^2","atom","^3",[2019,["KZ","DJ","GH","NP"]]],"^1Z",["^ ","^2","atom","^3",["SE.PRM.GINT.FE.ZS","SE.PRM.GINT.ZS","SE.PRM.TCAQ.ZS","SE.PRM.PRSL.ZS","SE.PRM.NINT.FE.ZS","SE.PRM.PRSL.MA.ZS","SE.PRM.ENRL","SE.PRM.ENRR","SE.PRM.ENRR.FE"]],"^1N",["^ ","^2","atom","^3","Gross intake ratio in first grade of primary education, male"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Gross intake ratio in first grade of primary education is the number of new entrants in the first grade of primary education regardless of age, expressed as a percentage of the population of the official primary entrance age."],"^1V",["^ ","^2","atom","^3","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020."],"^1[",["^ ","^2","atom","^3","http://uis.unesco.org/"],"^20",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SE.PRM.PRSL.FE.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.9"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","The cohort survival rate measures an education system's holding power and internal efficiency. Rates approaching 100 percent indicate high retention and low dropout levels.","^1K","Cohort survival rate is calculated by dividing the total number of children belonging to a cohort who reached each successive grade of the specified level of education by the number of children in the same cohort; those originally enrolled in the first grade of primary education, and multiplying by 100. To reflect current patterns of grade transition, it is calculated based on the reconstructed cohort method, which uses data on enrollment by grade for the two most recent years and data on repeaters by grade for the most recent of those two years. \n\nData on education are collected by the UNESCO Institute for Statistics from official responses to its annual education survey. All the data are mapped to the International Standard Classification of Education (ISCED) to ensure the comparability of education programs at the international level. The current version was formally adopted by UNESCO Member States in 2011. \n\nThe reference years reflect the school year for which the data are presented. In some countries the school year spans two calendar years (for example, from September 2010 to June 2011); in these cases the reference year refers to the year in which the school year ended (2011 in the example).","^1L","Weighted average","^1M","Annual","^1T","Education: Efficiency","^1P","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds.","^1Q","Persistence to last grade of primary is the percentage of children enrolled in the first grade of primary school who eventually reach the last grade of primary education. The estimate is based on the reconstructed cohort method.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Persistence to last grade of primary is the percentage of children enrolled in the first grade of primary school who eventually reach the last grade of primary education. The estimate is based on the reconstructed cohort method.","^1E","CC BY-4.0","^1S","The estimates have limitations in capturing real trend in that an observed rate will be applied to the underlying indicators such as repetition rate and promotion rate throughout the cohort life, and re-entrants, grade skipping, migration or transfers during a school year are not adequately captured.","^1U","Persistence to last grade of primary, female (% of cohort)","^1V","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds.","^1N","Persistence to last grade of primary, female","^1X","Persistence to last grade of primary, female (% of cohort)"]],"^1U",["^ ","^2","atom","^3","Persistence to last grade of primary, female (% of cohort)"],"id",["^ ","^2","atom","^3","SE.PRM.PRSL.FE.ZS"],"^1Y",["^ ","^2","atom","^3",[2023,["SY","DZ"]]],"^1Z",["^ ","^2","atom","^3",["SE.PRM.PRSL.ZS","SE.PRM.PRSL.MA.ZS","SE.PRM.TCAQ.ZS","SE.PRM.NINT.FE.ZS","SE.PRM.ENRL","SE.PRM.ENRR","SE.PRM.ENRR.FE","SE.PRM.TENR.FE","SE.PRM.TCAQ.MA.ZS"]],"^1N",["^ ","^2","atom","^3","Persistence to last grade of primary, female"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Persistence to last grade of primary is the percentage of children enrolled in the first grade of primary school who eventually reach the last grade of primary education. The estimate is based on the reconstructed cohort method."],"^1V",["^ ","^2","atom","^3","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds."],"^1[",["^ ","^2","atom","^3","https://apiportal.uis.unesco.org/bdds"],"^20",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SE.PRM.PRSL.MA.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.9"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","The cohort survival rate measures an education system's holding power and internal efficiency. Rates approaching 100 percent indicate high retention and low dropout levels.","^1K","Cohort survival rate is calculated by dividing the total number of children belonging to a cohort who reached each successive grade of the specified level of education by the number of children in the same cohort; those originally enrolled in the first grade of primary education, and multiplying by 100. To reflect current patterns of grade transition, it is calculated based on the reconstructed cohort method, which uses data on enrollment by grade for the two most recent years and data on repeaters by grade for the most recent of those two years. \n\nData on education are collected by the UNESCO Institute for Statistics from official responses to its annual education survey. All the data are mapped to the International Standard Classification of Education (ISCED) to ensure the comparability of education programs at the international level. The current version was formally adopted by UNESCO Member States in 2011. \n\nThe reference years reflect the school year for which the data are presented. In some countries the school year spans two calendar years (for example, from September 2010 to June 2011); in these cases the reference year refers to the year in which the school year ended (2011 in the example).","^1L","Weighted average","^1M","Annual","^1T","Education: Efficiency","^1P","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds.","^1Q","Persistence to last grade of primary is the percentage of children enrolled in the first grade of primary school who eventually reach the last grade of primary education. The estimate is based on the reconstructed cohort method.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Persistence to last grade of primary is the percentage of children enrolled in the first grade of primary school who eventually reach the last grade of primary education. The estimate is based on the reconstructed cohort method.","^1E","CC BY-4.0","^1S","The estimates have limitations in capturing real trend in that an observed rate will be applied to the underlying indicators such as repetition rate and promotion rate throughout the cohort life, and re-entrants, grade skipping, migration or transfers during a school year are not adequately captured.","^1U","Persistence to last grade of primary, male (% of cohort)","^1V","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds.","^1N","Persistence to last grade of primary, male","^1X","Persistence to last grade of primary, male (% of cohort)"]],"^1U",["^ ","^2","atom","^3","Persistence to last grade of primary, male (% of cohort)"],"id",["^ ","^2","atom","^3","SE.PRM.PRSL.MA.ZS"],"^1Y",["^ ","^2","atom","^3",[2023,["SY","DZ"]]],"^1Z",["^ ","^2","atom","^3",["SE.PRM.PRSL.ZS","SE.PRM.PRSL.FE.ZS","SE.PRM.TCAQ.ZS","SE.PRM.NINT.FE.ZS","SE.PRM.ENRL","SE.PRM.ENRR","SE.PRM.ENRR.FE","SE.PRM.TENR.FE","SE.PRM.TCAQ.MA.ZS"]],"^1N",["^ ","^2","atom","^3","Persistence to last grade of primary, male"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Persistence to last grade of primary is the percentage of children enrolled in the first grade of primary school who eventually reach the last grade of primary education. The estimate is based on the reconstructed cohort method."],"^1V",["^ ","^2","atom","^3","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds."],"^1[",["^ ","^2","atom","^3","https://apiportal.uis.unesco.org/bdds"],"^20",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SE.PRM.REPT.FE.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.9"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","Data on repeaters are often used to indicate an education system's internal efficiency. Repeaters not only increase the cost of education for the family and the school system, but also use limited school resources.","^1K","Share of repeaters in primary school is calculated by dividing the sum of repeaters in all grades of primary school by the total number of students enrolled in primary school, and multiplying by 100. \n\nData on education are collected by the UNESCO Institute for Statistics from official responses to its annual education survey. All the data are mapped to the International Standard Classification of Education (ISCED) to ensure the comparability of education programs at the international level. The current version was formally adopted by UNESCO Member States in 2011. \n\nThe reference years reflect the school year for which the data are presented. In some countries the school year spans two calendar years (for example, from September 2010 to June 2011); in these cases the reference year refers to the year in which the school year ended (2011 in the example).","^1L","Weighted average","^1M","Annual","^1T","Education: Efficiency","^1P","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.","^1Q","Repeaters in primary school are the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in primary school.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Repeaters in primary school are the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in primary school.","^1E","CC BY-4.0","^1S","Country policies on repetition and promotion differ. In some cases the number of repeaters is controlled because of limited capacity. In other cases the number of repeaters is almost 0 because of automatic promotion – suggesting a system that is highly efficient but that may not be endowing students with enough cognitive skills.","^1U","Repeaters, primary, female (% of female enrollment)","^1V","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.","^1N","Repeaters, primary, female","^1X","Repeaters, primary, female (% of female enrollment)"]],"^1U",["^ ","^2","atom","^3","Repeaters, primary, female (% of female enrollment)"],"id",["^ ","^2","atom","^3","SE.PRM.REPT.FE.ZS"],"^1Y",["^ ","^2","atom","^3",[2019,["KZ","MC","NP"]]],"^1Z",["^ ","^2","atom","^3",["SE.PRM.REPT.MA.ZS","SE.PRM.REPT.ZS","SE.PRM.TCAQ.ZS","SE.PRM.PRSL.ZS","SE.PRM.NINT.FE.ZS","SE.PRM.PRSL.MA.ZS","SE.PRM.ENRL","SE.PRM.ENRR","SE.PRM.ENRR.FE"]],"^1N",["^ ","^2","atom","^3","Repeaters, primary, female"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Repeaters in primary school are the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in primary school."],"^1V",["^ ","^2","atom","^3","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020."],"^1[",["^ ","^2","atom","^3","http://uis.unesco.org/"],"^20",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SE.PRM.REPT.MA.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.9"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","Data on repeaters are often used to indicate an education system's internal efficiency. Repeaters not only increase the cost of education for the family and the school system, but also use limited school resources.","^1K","Share of repeaters in primary school is calculated by dividing the sum of repeaters in all grades of primary school by the total number of students enrolled in primary school, and multiplying by 100. \n\nData on education are collected by the UNESCO Institute for Statistics from official responses to its annual education survey. All the data are mapped to the International Standard Classification of Education (ISCED) to ensure the comparability of education programs at the international level. The current version was formally adopted by UNESCO Member States in 2011. \n\nThe reference years reflect the school year for which the data are presented. In some countries the school year spans two calendar years (for example, from September 2010 to June 2011); in these cases the reference year refers to the year in which the school year ended (2011 in the example).","^1L","Weighted average","^1M","Annual","^1T","Education: Efficiency","^1P","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.","^1Q","Repeaters in primary school are the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in primary school.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Repeaters in primary school are the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in primary school.","^1E","CC BY-4.0","^1S","Country policies on repetition and promotion differ. In some cases the number of repeaters is controlled because of limited capacity. In other cases the number of repeaters is almost 0 because of automatic promotion – suggesting a system that is highly efficient but that may not be endowing students with enough cognitive skills.","^1U","Repeaters, primary, male (% of male enrollment)","^1V","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.","^1N","Repeaters, primary, male","^1X","Repeaters, primary, male (% of male enrollment)"]],"^1U",["^ ","^2","atom","^3","Repeaters, primary, male (% of male enrollment)"],"id",["^ ","^2","atom","^3","SE.PRM.REPT.MA.ZS"],"^1Y",["^ ","^2","atom","^3",[2019,["KZ","MC","NP"]]],"^1Z",["^ ","^2","atom","^3",["SE.PRM.REPT.FE.ZS","SE.PRM.REPT.ZS","SE.PRM.TCAQ.ZS","SE.PRM.PRSL.ZS","SE.PRM.NINT.FE.ZS","SE.PRM.PRSL.MA.ZS","SE.PRM.ENRL","SE.PRM.ENRR","SE.PRM.ENRR.FE"]],"^1N",["^ ","^2","atom","^3","Repeaters, primary, male"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Repeaters in primary school are the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in primary school."],"^1V",["^ ","^2","atom","^3","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020."],"^1[",["^ ","^2","atom","^3","http://uis.unesco.org/"],"^20",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SE.PRM.UNER.FE",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.8"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","Large numbers of children out of school create pressure to enroll children and provide classrooms, teachers, and educational materials, a task made difficult in many countries by limited education budgets. However, getting children into school is a high priority for countries and crucial for achieving universal primary education.","^1K","The number of out-of-school children is calculated by subtracting the number of primary school-age children enrolled in primary or secondary school from the total population of the official primary school-age children. \n\nData on education are collected by the UNESCO Institute for Statistics from official responses to its annual education survey. All the data are mapped to the International Standard Classification of Education (ISCED) to ensure the comparability of education programs at the international level. The current version was formally adopted by UNESCO Member States in 2011. Population data are drawn from the United Nations Population Division. Using a single source for population data standardizes definitions, estimations, and interpolation methods, ensuring a consistent methodology across countries and minimizing potential enumeration problems in national censuses.\n\nThe reference years reflect the school year for which the data are presented. In some countries the school year spans two calendar years (for example, from September 2010 to June 2011); in these cases the reference year refers to the year in which the school year ended (2011 in the example).","^1L","Sum","^1M","Annual","^1T","Education: Participation","^1P","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds.","^1Q","Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.","^1E","CC BY-4.0","^1S","Due to different data sources for enrollment and population data, the number may not capture the actual number of children not attending in primary school.","^1U","Children out of school, primary, female","^1V","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds.","^1N","Children out of school, primary, female","^1X","Children out of school, primary, female"]],"^1U",["^ ","^2","atom","^3","Children out of school, primary, female"],"id",["^ ","^2","atom","^3","SE.PRM.UNER.FE"],"^1Y",["^ ","^2","atom","^3",[2023,["CI","MO","SN","KZ","MU","VU","AZ","PR","LA","KH","BZ","WS","PA","BA","SY","GY","AM","KI","JM","SB","MN","CG","TT","PS","DM","TZ","PH","NI","BB","GE","MV","DO","ET","SC","BH","LS","LB","SV","BO","CW","UZ","KM","RU","TD","OM","CU","GT","BS","JO","AE","BF","NE","SR","BY","PY","TN","AL","NR","BN","HN","PW","EC","MY","SM","KG","IN","ML"]]],"^1Z",["^ ","^2","atom","^3",["SE.PRM.UNER.FE.ZS","SE.PRM.UNER","SE.PRM.UNER.MA","SE.PRM.UNER.ZS","SE.PRM.UNER.MA.ZS","SE.PRM.TCAQ.ZS","SE.PRM.PRSL.ZS","SE.PRM.NINT.FE.ZS","SE.PRM.PRSL.MA.ZS"]],"^1N",["^ ","^2","atom","^3","Children out of school, primary, female"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Children out of school are the number of primary-school-age children not enrolled in primary or secondary school."],"^1V",["^ ","^2","atom","^3","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds."],"^1[",["^ ","^2","atom","^3","https://apiportal.uis.unesco.org/bdds"],"^20",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","unknown"]],"SE.PRM.UNER.MA",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.8"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","Large numbers of children out of school create pressure to enroll children and provide classrooms, teachers, and educational materials, a task made difficult in many countries by limited education budgets. However, getting children into school is a high priority for countries and crucial for achieving universal primary education.","^1K","The number of out-of-school children is calculated by subtracting the number of primary school-age children enrolled in primary or secondary school from the total population of the official primary school-age children. \n\nData on education are collected by the UNESCO Institute for Statistics from official responses to its annual education survey. All the data are mapped to the International Standard Classification of Education (ISCED) to ensure the comparability of education programs at the international level. The current version was formally adopted by UNESCO Member States in 2011. Population data are drawn from the United Nations Population Division. Using a single source for population data standardizes definitions, estimations, and interpolation methods, ensuring a consistent methodology across countries and minimizing potential enumeration problems in national censuses.\n\nThe reference years reflect the school year for which the data are presented. In some countries the school year spans two calendar years (for example, from September 2010 to June 2011); in these cases the reference year refers to the year in which the school year ended (2011 in the example).","^1L","Sum","^1M","Annual","^1T","Education: Participation","^1P","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds.","^1Q","Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.","^1E","CC BY-4.0","^1S","Due to different data sources for enrollment and population data, the number may not capture the actual number of children not attending in primary school.","^1U","Children out of school, primary, male","^1V","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds.","^1N","Children out of school, primary, male","^1X","Children out of school, primary, male"]],"^1U",["^ ","^2","atom","^3","Children out of school, primary, male"],"id",["^ ","^2","atom","^3","SE.PRM.UNER.MA"],"^1Y",["^ ","^2","atom","^3",[2023,["CI","MO","SN","KZ","MU","VU","AZ","PR","LA","KH","BZ","WS","PA","BA","SY","GY","AM","KI","JM","SB","MN","CG","TT","PS","DM","TZ","PH","NI","BB","GE","MV","DO","ET","SC","BH","LS","LB","SV","BO","CW","UZ","KM","RU","TD","OM","CU","GT","BS","JO","AE","BF","NE","SR","BY","PY","TN","AL","NR","BN","HN","PW","EC","MY","SM","IN","ML"]]],"^1Z",["^ ","^2","atom","^3",["SE.PRM.UNER.MA.ZS","SE.PRM.UNER","SE.PRM.UNER.FE.ZS","SE.PRM.UNER.FE","SE.PRM.UNER.ZS","SE.PRM.TCAQ.ZS","SE.PRM.PRSL.ZS","SE.PRM.NINT.FE.ZS","SE.PRM.PRSL.MA.ZS"]],"^1N",["^ ","^2","atom","^3","Children out of school, primary, male"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Children out of school are the number of primary-school-age children not enrolled in primary or secondary school."],"^1V",["^ ","^2","atom","^3","UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds."],"^1[",["^ ","^2","atom","^3","https://apiportal.uis.unesco.org/bdds"],"^20",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","unknown"]],"SE.SEC.PROG.FE.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.9"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","The effective transition rate from primary to secondary education conveys the degree of access or transition between the two levels. As completing primary education is a prerequisite for participating in lower secondary education, growing numbers of primary completers will inevitably create pressure for more available places at the secondary level. A low effective transition rate can signal such problems as an inadequate examination and promotion system or insufficient secondary education capacity.","^1K","Effective transition rate is calculated by dividing the number of new entrants in the first grade of secondary education in a given year (t) by the number of students who enrolled in the final grade of primary education in the previous school year (t-1) minus the number of repeaters from the last grade of primary education in the given year (t), and multiplying by 100. \nData on education are collected by the UNESCO Institute for Statistics from official responses to its annual education survey. All the data are mapped to the International Standard Classification of Education (ISCED) to ensure the comparability of education programs at the international level. The current version was formally adopted by UNESCO Member States in 2011. \n\nThe reference years reflect the school year for which the data are presented. In some countries the school year spans two calendar years (for example, from September 2010 to June 2011); in these cases the reference year refers to the year in which the school year ended (2011 in the example).","^1L","Weighted average","^1M","Annual","^1T","Education: Efficiency","^1P","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.","^1Q","Progression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year (minus the number of repeaters from the last grade of primary education in the given year).","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Progression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year (minus the number of repeaters from the last grade of primary education in the given year).","^1E","CC BY-4.0","^1S","The quality of data on the transition rate is affected when new entrants and repeaters are not correctly distinguished. Students who interrupt their studies after completing primary education could also affect data quality.","^1U","Progression to secondary school, female (%)","^1V","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.","^1N","Progression to secondary school, female","^1X","Progression to secondary school, female (%)"]],"^1U",["^ ","^2","atom","^3","Progression to secondary school, female (%)"],"id",["^ ","^2","atom","^3","SE.SEC.PROG.FE.ZS"],"^1Y",["^ ","^2","atom","^3",[2018,["KZ"]]],"^1Z",["^ ","^2","atom","^3",["SE.SEC.PROG.ZS","SE.SEC.PROG.MA.ZS","SE.SEC.CUAT.LO.ZS","SE.SEC.CMPT.LO.ZS","SE.SEC.TCAQ.FE.ZS","SE.SEC.CMPT.LO.MA.ZS","SE.SEC.UNER.LO.MA.ZS","SE.SEC.NENR.MA","SE.SEC.ENRL.TC.ZS"]],"^1N",["^ ","^2","atom","^3","Progression to secondary school, female"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Progression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year (minus the number of repeaters from the last grade of primary education in the given year)."],"^1V",["^ ","^2","atom","^3","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020."],"^1[",["^ ","^2","atom","^3","http://uis.unesco.org/"],"^20",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SE.SEC.PROG.MA.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.9"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","The effective transition rate from primary to secondary education conveys the degree of access or transition between the two levels. As completing primary education is a prerequisite for participating in lower secondary education, growing numbers of primary completers will inevitably create pressure for more available places at the secondary level. A low effective transition rate can signal such problems as an inadequate examination and promotion system or insufficient secondary education capacity.","^1K","Effective transition rate is calculated by dividing the number of new entrants in the first grade of secondary education in a given year (t) by the number of students who enrolled in the final grade of primary education in the previous school year (t-1) minus the number of repeaters from the last grade of primary education in the given year (t), and multiplying by 100. \nData on education are collected by the UNESCO Institute for Statistics from official responses to its annual education survey. All the data are mapped to the International Standard Classification of Education (ISCED) to ensure the comparability of education programs at the international level. The current version was formally adopted by UNESCO Member States in 2011. \n\nThe reference years reflect the school year for which the data are presented. In some countries the school year spans two calendar years (for example, from September 2010 to June 2011); in these cases the reference year refers to the year in which the school year ended (2011 in the example).","^1L","Weighted average","^1M","Annual","^1T","Education: Efficiency","^1P","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.","^1Q","Progression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year (minus the number of repeaters from the last grade of primary education in the given year).","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Progression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year (minus the number of repeaters from the last grade of primary education in the given year).","^1E","CC BY-4.0","^1S","The quality of data on the transition rate is affected when new entrants and repeaters are not correctly distinguished. Students who interrupt their studies after completing primary education could also affect data quality.","^1U","Progression to secondary school, male (%)","^1V","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.","^1N","Progression to secondary school, male","^1X","Progression to secondary school, male (%)"]],"^1U",["^ ","^2","atom","^3","Progression to secondary school, male (%)"],"id",["^ ","^2","atom","^3","SE.SEC.PROG.MA.ZS"],"^1Y",["^ ","^2","atom","^3",[2018,["KZ"]]],"^1Z",["^ ","^2","atom","^3",["SE.SEC.PROG.ZS","SE.SEC.PROG.FE.ZS","SE.SEC.CUAT.LO.ZS","SE.SEC.CMPT.LO.ZS","SE.SEC.TCAQ.FE.ZS","SE.SEC.CMPT.LO.MA.ZS","SE.SEC.UNER.LO.MA.ZS","SE.SEC.NENR.MA","SE.SEC.ENRL.TC.ZS"]],"^1N",["^ ","^2","atom","^3","Progression to secondary school, male"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Progression to secondary school refers to the number of new entrants to the first grade of secondary school in a given year as a percentage of the number of students enrolled in the final grade of primary school in the previous year (minus the number of repeaters from the last grade of primary education in the given year)."],"^1V",["^ ","^2","atom","^3","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020."],"^1[",["^ ","^2","atom","^3","http://uis.unesco.org/"],"^20",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SG.DMK.SRCR.FN.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1J","This is the Sustainable Development Goal indicator 5.6.1[https://unstats.un.org/sdgs/metadata/].","^1K","Numerator of the indicator is number of married or in union women ages 15-49 who have been interviewed and satisfy all three empowerment criteria: 1)who can say \"no\" to sex; and 2)for whom the decision on contraception is not mainly made by the husband/partner; and 3) for whom decision on health care for themselves ins not usually made by the husband/partner or someone else. Denominator of the indicator is the total number of women ages 15-49 who are married or in union and who have been interviewed.","^1M","Annual","^1E","CC BY-4.0","^1O","Women‘s participation in decisions being made in their own households, that is households in which they usually live with their spouse and/or children with or without others, is widely accepted as a universal indicator of women‘s empowerment. The ability of women to make decisions that affect their personal circumstances is an essential element of their empowerment and serves as an important contributor to their overall development.","^1P","Demographic and Health Surveys compiled by United Nations Population Fund. Retrieved on February 14, 2023, from the SDG Global database API (https://unstats.un.org/sdgs/UNSDGAPIV5/swagger/index.html).","^1Q","Proportion of women ages 15-49 years (married or in union) who make their own decision on all three selected areas i.e. can say no to sexual intercourse with their husband or partner if they do not want; decide on use of contraception; and decide on their own health care. Only women who provide a “yes” answer to all three components are considered as women who “make her own decisions regarding sexual and reproductive”.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Proportion of women ages 15-49 years (married or in union) who make their own decision on all three selected areas i.e. can say no to sexual intercourse with their husband or partner if they do not want; decide on use of contraception; and decide on their own health care. Only women who provide a “yes” answer to all three components are considered as women who “make her own decisions regarding sexual and reproductive”.","^1S","Current estimates of the indicator are based on currently married or in union women of reproductive age (15-49 years old) who are using any type of contraception. In the current Demographic and Health Surveys (DHS), the question on decision-making on use of contraception is only asked to women who are currently using contraception. Because the questions on decision- making on sexual relations and health care are restricted to women (15-49) currently married or in union, the denominator for Indicator 5.6.1 is women 15-49, who are currently married or in union and currently using contraception. However, agreement has been reached with Macro/ICF for upcoming DHS surveys to ask the question on decision on use of contraception to all married/ in union women aged 15-49 years, whether they are currently using any contraception or not. The DHS model questionnaire for Phase 7 already includes the question on decision-making for women who are not currently using any contraception.","^1T","Gender: Public life & decision making","^1U","Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)","^1V","Demographic and Health Surveys compiled by United Nations Population Fund. Retrieved on February 14, 2023, from the SDG Global database API (https://unstats.un.org/sdgs/UNSDGAPIV5/swagger/index.html).","^1N","Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care","^1X","Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)"]],"^1U",["^ ","^2","atom","^3","Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)"],"id",["^ ","^2","atom","^3","SG.DMK.SRCR.FN.ZS"],"^1Y",["^ ","^2","atom","^3",[2022,["KH","TZ","PH","UZ","BJ","KE","NP"]]],"^1Z",["^ ","^2","atom","^3",["SG.DMK.ALLD.FN.ZS","SG.VAW.ARGU.ZS","SG.VAW.REFU.ZS","SG.TIM.UWRK.FE","SG.VAW.1549.ZS","SG.VAW.BURN.ZS","SG.VAW.REAS.ZS","SG.GEN.PARL.ZS","SG.VAW.NEGL.ZS"]],"^1N",["^ ","^2","atom","^3","Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Proportion of women ages 15-49 years (married or in union) who make their own decision on all three selected areas i.e. can say no to sexual intercourse with their husband or partner if they do not want; decide on use of contraception; and decide on their own health care. Only women who provide a “yes” answer to all three components are considered as women who “make her own decisions regarding sexual and reproductive”."],"^1V",["^ ","^2","atom","^3","Demographic and Health Surveys compiled by United Nations Population Fund. Retrieved on February 14, 2023, from the SDG Global database API (https://unstats.un.org/sdgs/UNSDGAPIV5/swagger/index.html)."],"^1[",["^ ","^2","atom","^3","https://unstats.un.org/sdgs/UNSDGAPIV5/swagger/index.html"],"^20",["^ ","^2","atom","^3",[["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SG.GEN.PARL.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","WV.5"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1J","Relevance to gender indicator: Women are vastly underrepresented in decision making positions in government, although there is some evidence of recent improvement. Gender parity in parliamentary representation is still far from being realized. Without representation at this level, it is difficult for women to influence policy.\n\nThis is the Sustainable Development Goal indicator 5.5.1 (a). [https://unstats.un.org/sdgs/metadata/].","^1K","The proportion of seats held by women in national parliaments is the number of seats held by women members in single or lower chambers of national parliaments, expressed as a percentage of all occupied seats; it is derived by dividing the total number of seats occupied by women by the total number of seats in parliament.\n\nNational parliaments can be bicameral or unicameral. This indicator covers the single chamber in unicameral parliaments and the lower chamber in bicameral parliaments. It does not cover the upper chamber of bicameral parliaments. Seats are usually won by members in general parliamentary elections. Seats may also be filled by nomination, appointment, indirect election, rotation of members and by-election. Seats refer to the number of parliamentary mandates, or the number of members of parliament.","^1L","Weighted average","^1M","Annual","^1O","Despite much progress in recent decades, gender inequalities remain pervasive in many dimensions of life - worldwide. But while disparities exist throughout the world, they are most prevalent in developing countries. Gender inequalities in the allocation of such resources as education, health care, nutrition, and political voice matter because of the strong association with well-being, productivity, and economic growth. These patterns of inequality begin at an early age, with boys routinely receiving a larger share of education and health spending than do girls, for example.\n\nWomen are vastly underrepresented in decision-making positions in government, although there is some evidence of recent improvement. Gender parity in parliamentary representation is still far from being realized. Without representation at this level, it is difficult for women to influence policy.\n\nA strong and vibrant democracy is possible only when parliament is fully inclusive of the population it represents. Parliaments cannot consider themselves inclusive, however, until they can boast the full participation of women. This is not just about women's right to equality and their contribution to the conduct of public affairs, but also about using women's resources and potential to determine political and development priorities that benefit societies and the global community.","^1P","Inter-Parliamentary Union (IPU) (www.ipu.org). For the year of 1998, the data is as of August 10, 1998.","^1Q","Women in parliaments are the percentage of parliamentary seats in a single or lower chamber held by women.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Women in parliaments are the percentage of parliamentary seats in a single or lower chamber held by women.","^1S","The number of countries covered varies with suspensions or dissolutions of parliaments. There can be difficulties in obtaining information on by-election results and replacements due to death or resignation. These changes are ad hoc events which are more difficult to keep track of. By-elections, for instance, are often not announced internationally as general elections are. Parliaments vary considerably in their internal workings and procedures, however, generally legislate, oversee government and represent the electorate. In terms of measuring women's contribution to political decision making, this indicator may not be sufficient because some women may face obstacles in fully and efficiently carrying out their parliamentary mandate.\n\nThe data is compiled by the Inter-Parliamentary Union on the basis of information provided by National Parliaments. The percentages do not take into account the case of parliaments for which no data was available at that date. Information is available in all countries where a national legislature exists and therefore does not include parliaments that have been dissolved or suspended for an indefinite period.","^1E","CC BY-4.0","^1T","Gender: Public life & decision making","^1N","Proportion of seats held by women in national parliaments","^1V","Inter-Parliamentary Union (IPU) (www.ipu.org). For the year of 1998, the data is as of August 10, 1998.","^1U","Proportion of seats held by women in national parliaments (%)","^1X","Proportion of seats held by women in national parliaments (%)"]],"^1U",["^ ","^2","atom","^3","Proportion of seats held by women in national parliaments (%)"],"id",["^ ","^2","atom","^3","SG.GEN.PARL.ZS"],"^1Y",["^ ","^2","atom","^3",[2023,["CI","NO","MW","MZ","SN","BD","KZ","MU","VU","ZM","AZ","UG","ME","LI","KW","LA","KH","CD","LK","PE","AU","IE","DJ","AG","FI","NA","NG","BZ","WS","MX","TH","DK","PA","CA","T2","CO","MD","GQ","BA","SY","IS","CM","GY","NL","T5","UY","US","AM","GB","JP","KI","KP","BE","JM","SB","IR","IL","MN","SO","ST","MA","CR","NZ","FM","MT","CG","DE","GA","TT","YE","LY","DM","BW","TJ","ES","TL","TZ","XG","GW","HR","PH","SL","GM","SZ","CN","ID","VN","AO","BT","RS","NI","BB","TG","RO","CH","GE","BG","MV","SI","DO","GH","ZW","GN","ET","UA","AR","TM","SC","BH","GR","LS","SE","LB","CL","SV","T3","MG","BO","IQ","IT","LC","UZ","KN","EG","KR","AT","LV","KM","RU","T6","T7","TO","MR","SA","BJ","LT","CV","QA","TD","PT","SS","PG","RW","KE","GD","FJ","OM","CU","GT","BS","EE","LR","MK","T4","JO","AE","ZA","BF","SK","MH","CY","LU","MC","SR","BY","CF","BI","PY","SG","TN","PL","TV","BR","AL","PK","NR","BN","HN","FR","PW","VC","NP","AD","TR","DZ","EC","CZ","MY","SM","ZT","HU","KG","IN","ML"]]],"^1Z",["^ ","^2","atom","^3",["SG.VAW.ARGU.ZS","SG.DMK.ALLD.FN.ZS","SG.VAW.REFU.ZS","SG.TIM.UWRK.FE","SG.DMK.SRCR.FN.ZS","SG.VAW.1549.ZS","SG.VAW.BURN.ZS","SG.VAW.REAS.ZS","SG.VAW.NEGL.ZS"]],"^1N",["^ ","^2","atom","^3","Proportion of seats held by women in national parliaments"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Women in parliaments are the percentage of parliamentary seats in a single or lower chamber held by women."],"^1V",["^ ","^2","atom","^3","Inter-Parliamentary Union (IPU) (www.ipu.org). For the year of 1998, the data is as of August 10, 1998."],"^1[",["^ ","^2","atom"],"^20",["^ ","^2","atom","^3",[["^ ","id","13","^3","Public Sector "],["^ ","id","17","^3","Gender"],["^ ","id","15","^3","Social Development "]]],"^J",["^ ","^2","atom","^3","percent"]],"SG.TIM.UWRK.FE",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1J","This is the Sustainable Development Goal indicator 5.4.1[https://unstats.un.org/sdgs/metadata/].","^1K","Proportion of time spent on unpaid domestic and care work is calculated by dividing the daily average number of hours spent on unpaid domestic and care work by 24 hours. Data presented for this indicator are expressed as a proportion of time in a day. Weekly data is averaged over seven days of the week to obtain the daily average time.","^1M","Annual","^1E","CC BY-4.0","^1O","Women often spend disproportionately more time on unpaid domestic and care work than men. This unequal division of responsibilities is correlated with gender differences in economic opportunities, includign low female labor force participation, occupational sex segregation, and earnings diffrentials. The need for a gender balance in the distribution of unpaid domestic and care work has been increasingly recognized and the Sustainable Development Goals address the issue in the target 5.4.","^1P","National statistical offices or national database and publications compiled by United Nations Statistics Division. The data were downloaded on April 4, 2024, from the Global SDG API: https://unstats.un.org/sdgs/UNSDGAPIV5/swagger/index.html","^1Q","The average time women spend on household provision of services for own consumption. Data are expressed as a proportion of time in a day. Domestic and care work includes food preparation, dishwashing, cleaning and upkeep of a dwelling, laundry, ironing, gardening, caring for pets, shopping, installation, servicing and repair of personal and household goods, childcare, and care of the sick, elderly or disabled household members, among others.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","The average time women spend on household provision of services for own consumption. Data are expressed as a proportion of time in a day. Domestic and care work includes food preparation, dishwashing, cleaning and upkeep of a dwelling, laundry, ironing, gardening, caring for pets, shopping, installation, servicing and repair of personal and household goods, childcare, and care of the sick, elderly or disabled household members, among others.","^1S","Data may not be strictly comparable across countries as the methods and sampling involved for data collection may differ.","^1T","Gender: Participation & access","^1U","Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day)","^1V","National statistical offices or national database and publications compiled by United Nations Statistics Division. The data were downloaded on April 4, 2024, from the Global SDG API: https://unstats.un.org/sdgs/UNSDGAPIV5/swagger/index.html","^1N","Proportion of time spent on unpaid domestic and care work, female","^1X","Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day)"]],"^1U",["^ ","^2","atom","^3","Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day)"],"id",["^ ","^2","atom","^3","SG.TIM.UWRK.FE"],"^1Y",["^ ","^2","atom","^3",[2022,["US","GB"]]],"^1Z",["^ ","^2","atom","^3",["SG.TIM.UWRK.MA","SG.VAW.ARGU.ZS","SG.DMK.ALLD.FN.ZS","SG.VAW.REFU.ZS","SG.DMK.SRCR.FN.ZS","SG.VAW.1549.ZS","SG.VAW.BURN.ZS","SG.VAW.REAS.ZS","SG.GEN.PARL.ZS"]],"^1N",["^ ","^2","atom","^3","Proportion of time spent on unpaid domestic and care work, female"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","The average time women spend on household provision of services for own consumption. Data are expressed as a proportion of time in a day. Domestic and care work includes food preparation, dishwashing, cleaning and upkeep of a dwelling, laundry, ironing, gardening, caring for pets, shopping, installation, servicing and repair of personal and household goods, childcare, and care of the sick, elderly or disabled household members, among others."],"^1V",["^ ","^2","atom","^3","National statistical offices or national database and publications compiled by United Nations Statistics Division. The data were downloaded on April 4, 2024, from the Global SDG API: https://unstats.un.org/sdgs/UNSDGAPIV5/swagger/index.html"],"^1[",["^ ","^2","atom","^3","https://unstats.un.org/sdgs/UNSDGAPIV5/swagger/index.html"],"^20",["^ ","^2","atom","^3",[["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SG.TIM.UWRK.MA",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1J","This is the Sustainable Development Goal indicator 5.4.1[https://unstats.un.org/sdgs/metadata/].","^1K","Proportion of time spent on unpaid domestic and care work is calculated by dividing the daily average number of hours spent on unpaid domestic and care work by 24 hours. Data presented for this indicator are expressed as a proportion of time in a day. Weekly data is averaged over seven days of the week to obtain the daily average time.","^1M","Annual","^1E","CC BY-4.0","^1O","Women often spend disproportionately more time on unpaid domestic and care work than men. This unequal division of responsibilities is correlated with gender differences in economic opportunities, includign low female labor force participation, occupational sex segregation, and earnings diffrentials. The need for a gender balance in the distribution of unpaid domestic and care work has been increasingly recognized and the Sustainable Development Goals address the issue in the target 5.4.","^1P","National statistical offices or national database and publications compiled by United Nations Statistics Division. The data were downloaded on April 4, 2024, from the Global SDG API: https://unstats.un.org/sdgs/UNSDGAPIV5/swagger/index.html","^1Q","The average time men spend on household provision of services for own consumption. Data are expressed as a proportion of time in a day. Domestic and care work includes food preparation, dishwashing, cleaning and upkeep of a dwelling, laundry, ironing, gardening, caring for pets, shopping, installation, servicing and repair of personal and household goods, childcare, and care of the sick, elderly or disabled household members, among others.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","The average time men spend on household provision of services for own consumption. Data are expressed as a proportion of time in a day. Domestic and care work includes food preparation, dishwashing, cleaning and upkeep of a dwelling, laundry, ironing, gardening, caring for pets, shopping, installation, servicing and repair of personal and household goods, childcare, and care of the sick, elderly or disabled household members, among others.","^1S","Data may not be strictly comparable across countries as the methods and sampling involved for data collection may differ.","^1T","Gender: Participation & access","^1U","Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day)","^1V","National statistical offices or national database and publications compiled by United Nations Statistics Division. The data were downloaded on April 4, 2024, from the Global SDG API: https://unstats.un.org/sdgs/UNSDGAPIV5/swagger/index.html","^1N","Proportion of time spent on unpaid domestic and care work, male","^1X","Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day)"]],"^1U",["^ ","^2","atom","^3","Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day)"],"id",["^ ","^2","atom","^3","SG.TIM.UWRK.MA"],"^1Y",["^ ","^2","atom","^3",[2022,["US","GB"]]],"^1Z",["^ ","^2","atom","^3",["SG.TIM.UWRK.FE","SG.VAW.ARGU.ZS","SG.DMK.ALLD.FN.ZS","SG.VAW.REFU.ZS","SG.DMK.SRCR.FN.ZS","SG.VAW.1549.ZS","SG.VAW.BURN.ZS","SG.VAW.REAS.ZS","SG.GEN.PARL.ZS"]],"^1N",["^ ","^2","atom","^3","Proportion of time spent on unpaid domestic and care work, male"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","The average time men spend on household provision of services for own consumption. Data are expressed as a proportion of time in a day. Domestic and care work includes food preparation, dishwashing, cleaning and upkeep of a dwelling, laundry, ironing, gardening, caring for pets, shopping, installation, servicing and repair of personal and household goods, childcare, and care of the sick, elderly or disabled household members, among others."],"^1V",["^ ","^2","atom","^3","National statistical offices or national database and publications compiled by United Nations Statistics Division. The data were downloaded on April 4, 2024, from the Global SDG API: https://unstats.un.org/sdgs/UNSDGAPIV5/swagger/index.html"],"^1[",["^ ","^2","atom","^3","https://unstats.un.org/sdgs/UNSDGAPIV5/swagger/index.html"],"^20",["^ ","^2","atom","^3",[["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SH.HIV.1524.FE.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.17"],"^1H",["^ ","^2","atom","^3",1],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1J","In many developing countries most new infections occur in young adults, with young women especially vulnerable.","^1K","HIV prevalence rates reflect the rate of HIV infection in each country's population. Low national prevalence rates can be misleading, however. They often disguise epidemics that are initially concentrated in certain localities or population groups and threaten to spill over into the wider population. In many developing countries most new infections occur in young adults, with young women especially vulnerable.\n\nData on HIV are from the Joint United Nations Programme on HIV/AIDS (UNAIDS). Changes in procedures and assumptions for estimating the data and better coordination with countries have resulted in improved estimates of HIV and AIDS. The models, which are routinely updated, track the course of HIV epidemics and their impact, making full use of information in HIV prevalence trends from surveillance data as well as survey data. The models take into account reduced infectivity among people receiving antiretroviral therapy (which is having a larger impact on HIV prevalence and allowing HIV-positive people to live longer) and allow for changes in urbanization over time in generalized epidemics. The estimates include plausibility bounds, which reflect the certainty associated with each of the estimates.","^1L","Weighted average","^1M","Annual","^1T","Health: Risk factors","^1P","UNAIDS estimates.","^1Q","Prevalence of HIV, female is the percentage of females who are infected with HIV. Youth rates are as a percentage of the relevant age group.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Prevalence of HIV, female is the percentage of females who are infected with HIV. Youth rates are as a percentage of the relevant age group.","^1E","CC BY-4.0","^1S","The limited availability of data on health status is a major constraint in assessing the health situation in developing countries. Surveillance data are lacking for many major public health concerns. Estimates of prevalence and incidence are available for some diseases but are often unreliable and incomplete. National health authorities differ widely in capacity and willingness to collect or report information.","^1U","Prevalence of HIV, female (% ages 15-24)","^1V","UNAIDS estimates.","^1N","Prevalence of HIV, female","^1X","Prevalence of HIV, female (% ages 15-24)"]],"^1U",["^ ","^2","atom","^3","Prevalence of HIV, female (% ages 15-24)"],"id",["^ ","^2","atom","^3","SH.HIV.1524.FE.ZS"],"^1Y",["^ ","^2","atom","^3",[2022,["CI","MW","MZ","SN","BD","ZM","AZ","UG","ME","KW","LA","KH","CD","LK","PE","NA","BZ","MX","TH","DK","PA","CO","MD","GQ","VE","SY","IS","CM","GY","UY","AM","BE","JM","IR","MN","HT","ST","MA","CR","NZ","MT","CG","GA","TT","YE","LY","BW","TJ","ES","TL","TZ","XG","GW","PH","SL","GM","SZ","ID","VN","AO","BT","RS","NI","BB","TG","RO","GE","BG","MV","SI","DO","GH","ZW","GN","ET","AR","GR","LS","LB","CL","SV","T3","MG","BO","IQ","IT","EG","LV","KM","T6","MR","MM","SA","BJ","LT","CV","QA","TD","PT","SS","PG","RW","KE","FJ","OM","CU","GT","BS","EE","LR","JO","AE","ZA","BF","SK","NE","LU","SR","BY","CF","BI","PY","TN","ER","AL","PK","SD","HN","FR","NP","DZ","EC","CZ","MY","KG","ML","AF"]]],"^1Z",["^ ","^2","atom","^3",["SH.HIV.1524.MA.ZS","SH.HIV.0014","SH.HIV.INCD.TL","SH.HIV.INCD.ZS","SH.HIV.INCD","SH.HIV.INCD.14","SH.HIV.ARTC.ZS","SH.HIV.PMTC.ZS","SH.HIV.INCD.YG"]],"^1N",["^ ","^2","atom","^3","Prevalence of HIV, female"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Prevalence of HIV, female is the percentage of females who are infected with HIV. Youth rates are as a percentage of the relevant age group."],"^1V",["^ ","^2","atom","^3","UNAIDS estimates."],"^1[",["^ ","^2","atom"],"^20",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "],["^ ","id","17","^3","Gender"],["^ ","id","15","^3","Social Development "]]],"^J",["^ ","^2","atom","^3","percent"]],"SH.HIV.1524.MA.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.17"],"^1H",["^ ","^2","atom","^3",1],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1J","In many developing countries most new infections occur in young adults, with young women being especially vulnerable.","^1K","HIV prevalence rates reflect the rate of HIV infection in each country's population. Low national prevalence rates can be misleading, however. They often disguise epidemics that are initially concentrated in certain localities or population groups and threaten to spill over into the wider population. In many developing countries most new infections occur in young adults, with young women especially vulnerable.\n\nData on HIV are from the Joint United Nations Programme on HIV/AIDS (UNAIDS). Changes in procedures and assumptions for estimating the data and better coordination with countries have resulted in improved estimates of HIV and AIDS. The models, which are routinely updated, track the course of HIV epidemics and their impact, making full use of information in HIV prevalence trends from surveillance data as well as survey data. The models take into account reduced infectivity among people receiving antiretroviral therapy (which is having a larger impact on HIV prevalence and allowing HIV-positive people to live longer) and allow for changes in urbanization over time in generalized epidemics. The estimates include plausibility bounds, which reflect the certainty associated with each of the estimates.","^1L","Weighted average","^1M","Annual","^1T","Health: Risk factors","^1P","UNAIDS estimates.","^1Q","Prevalence of HIV, male is the percentage of males who are infected with HIV. Youth rates are as a percentage of the relevant age group.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Prevalence of HIV, male is the percentage of males who are infected with HIV. Youth rates are as a percentage of the relevant age group.","^1E","CC BY-4.0","^1S","The limited availability of data on health status is a major constraint in assessing the health situation in developing countries. Surveillance data are lacking for many major public health concerns. Estimates of prevalence and incidence are available for some diseases but are often unreliable and incomplete. National health authorities differ widely in capacity and willingness to collect or report information.","^1U","Prevalence of HIV, male (% ages 15-24)","^1V","UNAIDS estimates.","^1N","Prevalence of HIV, male","^1X","Prevalence of HIV, male (% ages 15-24)"]],"^1U",["^ ","^2","atom","^3","Prevalence of HIV, male (% ages 15-24)"],"id",["^ ","^2","atom","^3","SH.HIV.1524.MA.ZS"],"^1Y",["^ ","^2","atom","^3",[2022,["CI","MW","MZ","SN","BD","ZM","AZ","UG","ME","KW","LA","KH","CD","LK","PE","NA","BZ","MX","TH","DK","PA","CO","MD","GQ","VE","SY","IS","CM","GY","UY","AM","BE","JM","IR","MN","HT","ST","MA","CR","NZ","MT","CG","GA","TT","YE","LY","BW","TJ","ES","TL","TZ","XG","GW","PH","SL","GM","SZ","ID","VN","AO","BT","RS","NI","BB","TG","RO","GE","BG","MV","SI","DO","GH","ZW","GN","ET","AR","GR","LS","LB","CL","SV","T3","MG","BO","IQ","IT","EG","LV","KM","T6","MR","MM","SA","BJ","LT","CV","QA","TD","PT","SS","PG","RW","KE","FJ","OM","CU","GT","BS","EE","LR","JO","AE","ZA","BF","SK","NE","LU","SR","BY","CF","BI","PY","TN","ER","AL","PK","SD","HN","FR","NP","DZ","EC","CZ","MY","KG","ML","AF"]]],"^1Z",["^ ","^2","atom","^3",["SH.HIV.1524.FE.ZS","SH.HIV.0014","SH.HIV.INCD.TL","SH.HIV.INCD.ZS","SH.HIV.INCD","SH.HIV.INCD.14","SH.HIV.ARTC.ZS","SH.HIV.PMTC.ZS","SH.HIV.INCD.YG"]],"^1N",["^ ","^2","atom","^3","Prevalence of HIV, male"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Prevalence of HIV, male is the percentage of males who are infected with HIV. Youth rates are as a percentage of the relevant age group."],"^1V",["^ ","^2","atom","^3","UNAIDS estimates."],"^1[",["^ ","^2","atom"],"^20",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "],["^ ","id","17","^3","Gender"],["^ ","id","15","^3","Social Development "]]],"^J",["^ ","^2","atom","^3","percent"]],"SH.STA.ANVC.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.14"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1J","Good prenatal and postnatal care improve maternal health and reduce maternal and infant mortality.","^1K","Reproductive health is a state of physical and mental well-being in relation to the reproductive system and its functions and processes. Means of achieving reproductive health include education and services during pregnancy and childbirth, safe and effective contraception, and prevention and treatment of sexually transmitted diseases. Complications of pregnancy and childbirth are the leading cause of death and disability among women of reproductive age in developing countries.\n\nGood prenatal and postnatal care improves maternal health and reduces maternal and infant mortality. However, indicators on use of antenatal care services provide no information on the content or quality of the services. Data on antenatal care are obtained mostly from household surveys, which ask women who have had a live birth whether and from whom they received antenatal care.","^1L","Weighted average","^1M","Annual","^1T","Health: Reproductive health","^1P","UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.","^1Q","Pregnant women receiving prenatal care are the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Pregnant women receiving prenatal care are the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy.","^1E","CC BY-4.0","^1S","For the indicators that are from household surveys, the year refers to the survey year. For more information, consult the original sources.","^1U","Pregnant women receiving prenatal care (%)","^1V","UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.","^1N","Pregnant women receiving prenatal care","^1X","Pregnant women receiving prenatal care (%)"]],"^1U",["^ ","^2","atom","^3","Pregnant women receiving prenatal care (%)"],"id",["^ ","^2","atom","^3","SH.STA.ANVC.ZS"],"^1Y",["^ ","^2","atom","^3",[2021,["VN","MG","MR","FJ","NE","IN"]]],"^1Z",["^ ","^2","atom","^3",["SH.STA.AIRP.MA.P5","SH.STA.MMRT","SH.STA.STNT.MA.ZS","SH.STA.BRTC.ZS","SH.STA.WAST.MA.ZS","SH.STA.POIS.P5.MA","SH.STA.WASH.P5","SH.STA.SUIC.FE.P5","SH.STA.STNT.ME.ZS"]],"^1N",["^ ","^2","atom","^3","Pregnant women receiving prenatal care"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Pregnant women receiving prenatal care are the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy."],"^1V",["^ ","^2","atom","^3","UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys."],"^1[",["^ ","^2","atom"],"^20",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "],["^ ","id","17","^3","Gender"],["^ ","id","2","^3","Aid Effectiveness "]]],"^J",["^ ","^2","atom","^3","percent"]],"SH.STA.BRTC.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.14"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1J","Assistance by trained professionals during birth reduces the incidence of maternal deaths during childbirth. The share of births attended by skilled health staff is an indicator of a health system’s ability to provide adequate care for pregnant women.\n\nThis is the Sustainable Development Goal indicator 3.1.2[https://unstats.un.org/sdgs/metadata/].","^1L","Weighted average","^1M","Annual","^1E","CC BY-4.0","^1O","Reproductive health is a state of physical and mental well-being in relation to the reproductive system and its functions and processes. Means of achieving reproductive health include education and services during pregnancy and childbirth, safe and effective contraception, and prevention and treatment of sexually transmitted diseases. Complications of pregnancy and childbirth are the leading cause of death and disability among women of reproductive age in developing countries.\n\nThe share of births attended by skilled health staff is an indicator of a health system's ability to provide adequate care for pregnant women.","^1P","UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.","^1Q","Births attended by skilled health staff are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and to care for newborns.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Births attended by skilled health staff are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and to care for newborns.","^1S","For the indicators that are from household surveys, the year refers to the survey year. For more information, consult the original sources.","^1T","Health: Reproductive health","^1U","Births attended by skilled health staff (% of total)","^1V","UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.","^1N","Births attended by skilled health staff","^1X","Births attended by skilled health staff (% of total)"]],"^1U",["^ ","^2","atom","^3","Births attended by skilled health staff (% of total)"],"id",["^ ","^2","atom","^3","SH.STA.BRTC.ZS"],"^1Y",["^ ","^2","atom","^3",[2022,["KH","NG","UZ"]]],"^1Z",["^ ","^2","atom","^3",["SH.STA.AIRP.MA.P5","SH.STA.MMRT","SH.STA.STNT.MA.ZS","SH.STA.WAST.MA.ZS","SH.STA.POIS.P5.MA","SH.STA.WASH.P5","SH.STA.SUIC.FE.P5","SH.STA.STNT.ME.ZS","SH.STA.FGMS.ZS"]],"^1N",["^ ","^2","atom","^3","Births attended by skilled health staff"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Births attended by skilled health staff are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and to care for newborns."],"^1V",["^ ","^2","atom","^3","UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys."],"^1[",["^ ","^2","atom"],"^20",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SH.STA.MMRT",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.14"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1J","This indicator represents the risk associated with each pregnancy and is also a Sustainable Development Goal Indicator (3.1.1) for monitoring maternal health.","^1K","Reproductive health is a state of physical and mental well-being in relation to the reproductive system and its functions and processes. Means of achieving reproductive health include education and services during pregnancy and childbirth, safe and effective contraception, and prevention and treatment of sexually transmitted diseases. Complications of pregnancy and childbirth are the leading cause of death and disability among women of reproductive age in developing countries.\n\nMaternal mortality is generally of unknown reliability, as are many other cause-specific mortality indicators. Household surveys such as Demographic and Health Surveys attempt to measure maternal mortality by asking respondents about survivorship of sisters. The main disadvantage of this method is that the estimates of maternal mortality that it produces pertain to any time within the past few years before the survey, making them unsuitable for monitoring recent changes or observing the impact of interventions. In addition, measurement of maternal mortality is subject to many types of errors. Even in high-income countries with reliable vital registration systems, misclassification of maternal deaths has been found to lead to serious underestimation.\n\nThe estimates are based on an exercise by the Maternal Mortality Estimation Inter-Agency Group (MMEIG) which consists of World Health Organization (WHO), United Nations Children's Fund (UNICEF), World Bank, and United Nations Population Fund (UNFPA), and include country-level time series data. For countries without complete registration data but with other types of data and for countries with no data, maternal mortality is estimated with a regression model using available national maternal mortality data and socioeconomic information.","^1L","Weighted average","^1M","Annual","^1N","Maternal mortality ratio","^1T","Health: Reproductive health","^1P","WHO, UNICEF, UNFPA, World Bank Group, and UNDESA/Population Division. Trends in Maternal Mortality 2000 to 2020. Geneva, World Health Organization, 2023","^1Q","Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP measured using purchasing power parities (PPPs).","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP measured using purchasing power parities (PPPs).","^1E","CC BY-4.0","^1S","The methodology differs from that used for previous estimates, so data should not be compared historically. Maternal mortality ratios are generally of unknown reliability, as are many other cause-specific mortality indicators. The ratios cannot be assumed to provide an exact estimate of maternal mortality.","^1U","Maternal mortality ratio (modeled estimate, per 100,000 live births)","^1V","WHO, UNICEF, UNFPA, World Bank Group, and UNDESA/Population Division. Trends in Maternal Mortality 2000 to 2020. Geneva, World Health Organization, 2023","^1W","Estimates of maternal mortality are presented along with upper and lower limits of intervals (see footnote) designed to depict the uncertainty of estimates. The intervals are the product of a detailed probabilistic evaluation of the uncertainty attributable to the various components of the estimation process. For estimates derived from the multilevel regression model, the components of uncertainty were divided into two groups: those reflected within the regression model (internal sources), and those due to assumptions or calculations that occur outside the model (external sources). Estimates of the total uncertainty reflect a combination of these various sources.","^1X","Maternal mortality ratio (modeled estimate, per 100,000 live births)"]],"^1U",["^ ","^2","atom","^3","Maternal mortality ratio (modeled estimate, per 100,000 live births)"],"id",["^ ","^2","atom","^3","SH.STA.MMRT"],"^1Y",["^ ","^2","atom","^3",[2020,["CI","NO","MW","MZ","SN","BD","KZ","MU","VU","ZM","AZ","UG","ME","PR","KW","LA","KH","CD","LK","PE","AU","IE","DJ","AG","FI","NA","NG","BZ","WS","MX","TH","DK","PA","CA","T2","CO","MD","GQ","BA","VE","SY","IS","CM","GY","NL","T5","UY","US","AM","GB","JP","KI","KP","BE","JM","SB","IR","IL","MN","HT","SO","ST","MA","CR","NZ","FM","MT","CG","DE","GA","TT","YE","LY","PS","BW","TJ","ES","TL","TZ","XG","GW","HR","PH","SL","GM","SZ","CN","ID","VN","AO","BT","RS","NI","BB","TG","RO","CH","GE","BG","MV","SI","DO","GH","ZW","GN","ET","UA","AR","TM","SC","BH","GR","LS","SE","LB","CL","SV","T3","MG","BO","IQ","IT","LC","UZ","EG","KR","AT","LV","KM","RU","T6","T7","TO","MR","MM","SA","BJ","LT","CV","QA","TD","PT","SS","PG","RW","KE","GD","FJ","OM","CU","GT","BS","EE","LR","MK","T4","JO","AE","ZA","BF","SK","CY","NE","LU","SR","BY","CF","BI","PY","SG","TN","PL","ER","BR","AL","PK","SD","BN","HN","FR","VC","NP","TR","DZ","EC","CZ","MY","ZT","HU","KG","IN","ML","AF"]]],"^1Z",["^ ","^2","atom","^3",["SH.STA.MMRT.NE","SH.STA.AIRP.MA.P5","SH.STA.STNT.MA.ZS","SH.STA.BRTC.ZS","SH.STA.WAST.MA.ZS","SH.STA.POIS.P5.MA","SH.STA.WASH.P5","SH.STA.SUIC.FE.P5","SH.STA.STNT.ME.ZS"]],"^1N",["^ ","^2","atom","^3","Maternal mortality ratio"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP measured using purchasing power parities (PPPs)."],"^1V",["^ ","^2","atom","^3","WHO, UNICEF, UNFPA, World Bank Group, and UNDESA/Population Division. Trends in Maternal Mortality 2000 to 2020. Geneva, World Health Organization, 2023"],"^1[",["^ ","^2","atom"],"^20",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "],["^ ","id","17","^3","Gender"],["^ ","id","2","^3","Aid Effectiveness "]]],"^J",["^ ","^2","atom","^3","unknown"]],"SL.AGR.EMPL.FE.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.3"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","Sectoral information is particularly useful in identifying broad shifts in employment and stages of development. In the textbook case of economic development, labour flows from agriculture and other labour-intensive primary activities to industry and finally to the services sector; in the process, workers migrate from rural to urban areas.\n\nThe breakdown of the indicator by sex allows for analysis of gender segregation of employment by specific sector. Women may be drawn into lower-paying service activities that allow for more flexible work schedules thus making it easier to balance family responsibilities with work life. Segregation of women in certain sectors may also result from cultural attitudes that prevent them from entering industrial employment.\nSegregating one sex in a narrow range of occupations significantly reduces economic efficiency by reducing labor market flexibility and thus the economy's ability to adapt to change. This segregation is particularly harmful for women, who have a much narrower range of labor market choices and lower levels of pay than men. But it is also detrimental to men when job losses are concentrated in industries dominated by men and job growth is centered in service occupations, where women have better chances, as has been the recent experience in many countries.","^1K","The International Labour Organization (ILO) classifies economic activity using the International Standard Industrial Classification (ISIC) of All Economic Activities, revision 2 (1968), revision 3 (1990), and revision 4 (2008). Because this classification is based on where work is performed (industry) rather than type of work performed (occupation), all of an enterprise's employees are classified under the same industry, regardless of their trade or occupation. The categories should sum to 100 percent. Where they do not, the differences are due to workers who are not classified by economic activity.\n\nThe series is part of the \"ILO modeled estimates database,\" including nationally reported observations and imputed data for countries with missing data, primarily to capture regional and global trends with consistent country coverage. Country-reported microdata is based mainly on nationally representative labor force surveys, with other sources (e.g., household surveys and population censuses) considering differences in the data source, the scope of coverage, methodology, and other country-specific factors. Country analysis requires caution where limited nationally reported data are available. A series of models are also applied to impute missing observations and make projections. However, imputed observations are not based on national data, are subject to high uncertainty, and should not be used for country comparisons or rankings. For more information: https://ilostat.ilo.org/resources/concepts-and-definitions/ilo-modelled-estimates/","^1L","Weighted average","^1M","Annual","^1N","Employment in agriculture, female","^1T","Social Protection & Labor: Economic activity","^1P","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/.","^1Q","Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The agriculture sector consists of activities in agriculture, hunting, forestry and fishing, in accordance with division 1 (ISIC 2) or categories A-B (ISIC 3) or category A (ISIC 4).","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The agriculture sector consists of activities in agriculture, hunting, forestry and fishing, in accordance with division 1 (ISIC 2) or categories A-B (ISIC 3) or category A (ISIC 4).","^1E","CC BY-4.0","^1S","There are many differences in how countries define and measure employment status, particularly members of the armed forces, self-employed workers, and unpaid family workers. Where members of the armed forces are included, they are allocated to the service sector, causing that sector to be somewhat overstated relative to the service sector in economies where they are excluded. Where data are obtained from establishment surveys, data cover only employees; thus self-employed and unpaid family workers are excluded. In such cases the employment share of the agricultural sector is severely underreported. Caution should be also used where the data refer only to urban areas, which record little or no agricultural work. Moreover, the age group and area covered could differ by country or change over time within a country. For detailed information, consult the original source.\n\nCountries also take different approaches to the treatment of unemployed people. In most countries unemployed people with previous job experience are classified according to their last job. But in some countries the unemployed and people seeking their first job are not classifiable by economic activity. Because of these differences, the size and distribution of employment by economic activity may not be fully comparable across countries.\n\nThe ILO reports data by major divisions of the ISIC revision 2, revision 3, or revision 4. Broad classification such as employment by agriculture, industry, and services may obscure fundamental shifts within countries' industrial patterns. A slight majority of countries report economic activity according to the ISIC revision 3 instead of revision 2 or revision 4. The use of one classification or the other should not have a significant impact on the information for the employment of the three broad sectorsdata.","^1U","Employment in agriculture, female (% of female employment) (modeled ILO estimate)","^1V","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/.","^1W","Given the exceptional situation, including the scarcity of relevant data, the ILO modeled estimates and projections from 2020 onwards are subject to substantial uncertainty.","^1X","Employment in agriculture, female (% of female employment) (modeled ILO estimate)"]],"^1U",["^ ","^2","atom","^3","Employment in agriculture, female (% of female employment) (modeled ILO estimate)"],"id",["^ ","^2","atom","^3","SL.AGR.EMPL.FE.ZS"],"^1Y",["^ ","^2","atom","^3",[2022,["CI","NO","MW","MO","MZ","SN","BD","KZ","MU","VU","ZM","AZ","UG","ME","PR","KW","LA","KH","CD","LK","PE","AU","IE","DJ","FI","NA","NG","BZ","JG","WS","MX","TH","DK","PA","CA","T2","CO","MD","GQ","BA","VE","SY","IS","CM","GY","NL","T5","UY","US","AM","GB","JP","KP","BE","JM","SB","IR","IL","MN","HT","SO","ST","MA","CR","NZ","MT","CG","DE","GA","TT","YE","LY","PS","BW","TJ","ES","TL","TZ","XG","GW","HR","PH","SL","GM","SZ","CN","ID","VN","AO","BT","RS","NI","BB","VI","TG","RO","CH","GE","BG","MV","SI","DO","GH","ZW","GN","ET","AR","TM","BH","GR","LS","SE","LB","CL","SV","T3","PF","MG","BO","IQ","IT","LC","UZ","EG","KR","AT","LV","KM","RU","T6","T7","TO","MR","MM","SA","BJ","LT","CV","QA","TD","PT","SS","PG","RW","KE","FJ","OM","CU","GT","BS","NC","EE","GU","LR","MK","T4","JO","AE","ZA","BF","SK","CY","NE","LU","SR","BY","CF","BI","PY","SG","TN","PL","ER","HK","BR","AL","PK","SD","BN","HN","FR","VC","NP","TR","DZ","EC","CZ","MY","ZT","HU","KG","IN","ML","AF"]]],"^1Z",["^ ","^2","atom","^3",["SL.AGR.EMPL.MA.ZS","SL.AGR.EMPL.FE.ZS","SL.AGR.EMPL.ZS","SL.IND.EMPL.FE.ZS","SL.SRV.EMPL.FE.ZS","SL.AGR.EMPL.ZS","SL.AGR.EMPL.MA.ZS","SL.AGR.0714.MA.ZS","SL.AGR.0714.FE.ZS"]],"^1N",["^ ","^2","atom","^3","Employment in agriculture, female"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The agriculture sector consists of activities in agriculture, hunting, forestry and fishing, in accordance with division 1 (ISIC 2) or categories A-B (ISIC 3) or category A (ISIC 4)."],"^1V",["^ ","^2","atom","^3","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/."],"^1[",["^ ","^2","atom","^3","https://ilostat.ilo.org/data/"],"^20",["^ ","^2","atom","^3",[["^ ","id","1","^3","Agriculture & Rural Development "],["^ ","id","10","^3","Social Protection & Labor"],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SL.AGR.EMPL.MA.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.3"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","Sectoral information is particularly useful in identifying broad shifts in employment and stages of development. In the textbook case of economic development, labour flows from agriculture and other labour-intensive primary activities to industry and finally to the services sector; in the process, workers migrate from rural to urban areas.\n\nThe breakdown of the indicator by sex allows for analysis of gender segregation of employment by specific sector. Women may be drawn into lower-paying service activities that allow for more flexible work schedules thus making it easier to balance family responsibilities with work life. Segregation of women in certain sectors may also result from cultural attitudes that prevent them from entering industrial employment.\nSegregating one sex in a narrow range of occupations significantly reduces economic efficiency by reducing labor market flexibility and thus the economy's ability to adapt to change. This segregation is particularly harmful for women, who have a much narrower range of labor market choices and lower levels of pay than men. But it is also detrimental to men when job losses are concentrated in industries dominated by men and job growth is centered in service occupations, where women have better chances, as has been the recent experience in many countries.","^1K","The International Labour Organization (ILO) classifies economic activity using the International Standard Industrial Classification (ISIC) of All Economic Activities, revision 2 (1968), revision 3 (1990), and revision 4 (2008). Because this classification is based on where work is performed (industry) rather than type of work performed (occupation), all of an enterprise's employees are classified under the same industry, regardless of their trade or occupation. The categories should sum to 100 percent. Where they do not, the differences are due to workers who are not classified by economic activity.\n\nThe series is part of the \"ILO modeled estimates database,\" including nationally reported observations and imputed data for countries with missing data, primarily to capture regional and global trends with consistent country coverage. Country-reported microdata is based mainly on nationally representative labor force surveys, with other sources (e.g., household surveys and population censuses) considering differences in the data source, the scope of coverage, methodology, and other country-specific factors. Country analysis requires caution where limited nationally reported data are available. A series of models are also applied to impute missing observations and make projections. However, imputed observations are not based on national data, are subject to high uncertainty, and should not be used for country comparisons or rankings. For more information: https://ilostat.ilo.org/resources/concepts-and-definitions/ilo-modelled-estimates/","^1L","Weighted average","^1M","Annual","^1N","Employment in agriculture, male","^1T","Social Protection & Labor: Economic activity","^1P","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/.","^1Q","Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The agriculture sector consists of activities in agriculture, hunting, forestry and fishing, in accordance with division 1 (ISIC 2) or categories A-B (ISIC 3) or category A (ISIC 4).","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The agriculture sector consists of activities in agriculture, hunting, forestry and fishing, in accordance with division 1 (ISIC 2) or categories A-B (ISIC 3) or category A (ISIC 4).","^1E","CC BY-4.0","^1S","There are many differences in how countries define and measure employment status, particularly members of the armed forces, self-employed workers, and unpaid family workers. Where members of the armed forces are included, they are allocated to the service sector, causing that sector to be somewhat overstated relative to the service sector in economies where they are excluded. Where data are obtained from establishment surveys, data cover only employees; thus self-employed and unpaid family workers are excluded. In such cases the employment share of the agricultural sector is severely underreported. Caution should be also used where the data refer only to urban areas, which record little or no agricultural work. Moreover, the age group and area covered could differ by country or change over time within a country. For detailed information, consult the original source.\n\nCountries also take different approaches to the treatment of unemployed people. In most countries unemployed people with previous job experience are classified according to their last job. But in some countries the unemployed and people seeking their first job are not classifiable by economic activity. Because of these differences, the size and distribution of employment by economic activity may not be fully comparable across countries.\n\nThe ILO reports data by major divisions of the ISIC revision 2, revision 3, or revision 4. Broad classification such as employment by agriculture, industry, and services may obscure fundamental shifts within countries' industrial patterns. A slight majority of countries report economic activity according to the ISIC revision 3 instead of revision 2 or revision 4. The use of one classification or the other should not have a significant impact on the information for the employment of the three broad sectorsdata.","^1U","Employment in agriculture, male (% of male employment) (modeled ILO estimate)","^1V","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/.","^1W","Given the exceptional situation, including the scarcity of relevant data, the ILO modeled estimates and projections from 2020 onwards are subject to substantial uncertainty.","^1X","Employment in agriculture, male (% of male employment) (modeled ILO estimate)"]],"^1U",["^ ","^2","atom","^3","Employment in agriculture, male (% of male employment) (modeled ILO estimate)"],"id",["^ ","^2","atom","^3","SL.AGR.EMPL.MA.ZS"],"^1Y",["^ ","^2","atom","^3",[2022,["CI","NO","MW","MO","MZ","SN","BD","KZ","MU","VU","ZM","AZ","UG","ME","PR","KW","LA","KH","CD","LK","PE","AU","IE","DJ","FI","NA","NG","BZ","JG","WS","MX","TH","DK","PA","CA","T2","CO","MD","GQ","BA","VE","SY","IS","CM","GY","NL","T5","UY","US","AM","GB","JP","KP","BE","JM","SB","IR","IL","MN","HT","SO","ST","MA","CR","NZ","MT","CG","DE","GA","TT","YE","LY","PS","BW","TJ","ES","TL","TZ","XG","GW","HR","PH","SL","GM","SZ","CN","ID","VN","AO","BT","RS","NI","BB","VI","TG","RO","CH","GE","BG","MV","SI","DO","GH","ZW","GN","ET","AR","TM","BH","GR","LS","SE","LB","CL","SV","T3","PF","MG","BO","IQ","IT","LC","UZ","EG","KR","AT","LV","KM","RU","T6","T7","TO","MR","MM","SA","BJ","LT","CV","QA","TD","PT","SS","PG","RW","KE","FJ","OM","CU","GT","BS","NC","EE","GU","LR","MK","T4","JO","AE","ZA","BF","SK","CY","NE","LU","SR","BY","CF","BI","PY","SG","TN","PL","ER","HK","BR","AL","PK","SD","BN","HN","FR","VC","NP","TR","DZ","EC","CZ","MY","ZT","HU","KG","IN","ML","AF"]]],"^1Z",["^ ","^2","atom","^3",["SL.AGR.EMPL.MA.ZS","SL.SRV.EMPL.MA.ZS","SL.AGR.EMPL.ZS","SL.AGR.EMPL.FE.ZS","SL.IND.EMPL.MA.ZS","SL.AGR.EMPL.ZS","SL.AGR.EMPL.FE.ZS","SL.AGR.0714.MA.ZS","SL.AGR.0714.FE.ZS"]],"^1N",["^ ","^2","atom","^3","Employment in agriculture, male"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The agriculture sector consists of activities in agriculture, hunting, forestry and fishing, in accordance with division 1 (ISIC 2) or categories A-B (ISIC 3) or category A (ISIC 4)."],"^1V",["^ ","^2","atom","^3","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/."],"^1[",["^ ","^2","atom","^3","https://ilostat.ilo.org/data/"],"^20",["^ ","^2","atom","^3",[["^ ","id","1","^3","Agriculture & Rural Development "],["^ ","id","10","^3","Social Protection & Labor"],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SL.EMP.VULN.FE.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.4"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","Breaking down employment information by status in employment provides a statistical basis for describing workers' behaviour and conditions of work, and for defining an individual's socio-economic group. A high proportion of wage and salaried workers in a country can signify advanced economic development. If the proportion of own-account workers (self-employed without hired employees) is sizeable, it may be an indication of a large agriculture sector and low growth in the formal economy. A high proportion of contributing family workers — generally unpaid, although compensation might come indirectly in the form of family income — may indicate weak development, little job growth, and often a large rural economy.\n\nEach status group faces different economic risks, and contributing family workers and own-account workers are the most vulnerable - and therefore the most likely to fall into poverty. They are the least likely to have formal work arrangements, are the least likely to have social protection and safety nets to guard against economic shocks, and often are incapable of generating sufficient savings to offset these shocks.","^1K","The status in employment distinguishes between two categories of the total employed: (a) wage and salaried workers (also known as employees); and (b) self-employed workers, with the subcategories: (i) self-employed workers with employees (employers), (ii) self-employed workers without employees (own-account workers), and (iii) members of producers' cooperatives and contributing family workers (also known as unpaid family workers). Vulnerable employment refers to the sum of (ii) own-account workers and (iii) contributing family workers.\n\nThe series is part of the \"ILO modeled estimates database,\" including nationally reported observations and imputed data for countries with missing data, primarily to capture regional and global trends with consistent country coverage. Country-reported microdata is based mainly on nationally representative labor force surveys, with other sources (e.g., household surveys and population censuses) considering differences in the data source, the scope of coverage, methodology, and other country-specific factors. Country analysis requires caution where limited nationally reported data are available. A series of models are also applied to impute missing observations and make projections. However, imputed observations are not based on national data, are subject to high uncertainty, and should not be used for country comparisons or rankings. For more information: https://ilostat.ilo.org/resources/concepts-and-definitions/ilo-modelled-estimates/","^1L","Weighted average","^1M","Annual","^1N","Vulnerable employment, female","^1T","Social Protection & Labor: Economic activity","^1P","World Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization, ILOSTAT at https://ilostat.ilo.org/data/.","^1Q","Vulnerable employment is contributing family workers and own-account workers as a percentage of total employment.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Vulnerable employment is contributing family workers and own-account workers as a percentage of total employment.","^1E","CC BY-4.0","^1S","Data are drawn from labor force surveys and household surveys, supplemented by official estimates and censuses for a small group of countries. Due to differences in definitions and coverage across countries, there are limitations for comparing data across countries and over time even within a country. Estimates of women in employment are not comparable internationally, reflecting that demographic, social, legal, and cultural trends and norms determine whether women's activities are regarded as economic.","^1U","Vulnerable employment, female (% of female employment) (modeled ILO estimate)","^1V","World Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization, ILOSTAT at https://ilostat.ilo.org/data/.","^1W","Given the exceptional situation, including the scarcity of relevant data, the ILO modeled estimates and projections from 2020 onwards are subject to substantial uncertainty.","^1X","Vulnerable employment, female (% of female employment) (modeled ILO estimate)"]],"^1U",["^ ","^2","atom","^3","Vulnerable employment, female (% of female employment) (modeled ILO estimate)"],"id",["^ ","^2","atom","^3","SL.EMP.VULN.FE.ZS"],"^1Y",["^ ","^2","atom","^3",[2022,["CI","NO","MW","MO","MZ","SN","BD","KZ","MU","VU","ZM","AZ","UG","ME","PR","KW","LA","KH","CD","LK","PE","AU","IE","DJ","FI","NA","NG","BZ","JG","WS","MX","TH","DK","PA","CA","T2","CO","MD","GQ","BA","VE","SY","IS","CM","GY","NL","T5","UY","US","AM","GB","JP","KP","BE","JM","SB","IR","IL","MN","HT","SO","ST","MA","CR","NZ","MT","CG","DE","GA","TT","YE","LY","PS","BW","TJ","ES","TL","TZ","XG","GW","HR","PH","SL","GM","SZ","CN","ID","VN","AO","BT","RS","NI","BB","VI","TG","RO","CH","GE","BG","MV","SI","DO","GH","ZW","GN","ET","AR","TM","BH","GR","LS","SE","LB","CL","SV","T3","PF","MG","BO","IQ","IT","LC","UZ","EG","KR","AT","LV","KM","RU","T6","T7","TO","MR","MM","SA","BJ","LT","CV","QA","TD","PT","SS","PG","RW","KE","FJ","OM","CU","GT","BS","NC","EE","GU","LR","MK","T4","JO","AE","ZA","BF","SK","CY","NE","LU","SR","BY","CF","BI","PY","SG","TN","PL","ER","HK","BR","AL","PK","SD","BN","HN","FR","VC","NP","TR","DZ","EC","CZ","MY","ZT","HU","KG","IN","ML","AF"]]],"^1Z",["^ ","^2","atom","^3",["SL.EMP.VULN.ZS","SL.EMP.VULN.MA.ZS","SL.EMP.1524.SP.FE.NE.ZS","SL.EMP.1524.SP.FE.ZS","SL.EMP.1524.SP.ZS","SL.EMP.MPYR.ZS","SL.EMP.TOTL.SP.FE.ZS","SL.EMP.WORK.FE.ZS","SL.EMP.MPYR.MA.ZS"]],"^1N",["^ ","^2","atom","^3","Vulnerable employment, female"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Vulnerable employment is contributing family workers and own-account workers as a percentage of total employment."],"^1V",["^ ","^2","atom","^3","World Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization, ILOSTAT at https://ilostat.ilo.org/data/."],"^1[",["^ ","^2","atom","^3","https://ilostat.ilo.org/data/"],"^20",["^ ","^2","atom","^3",[["^ ","id","10","^3","Social Protection & Labor"],["^ ","id","17","^3","Gender"],["^ ","id","15","^3","Social Development "]]],"^J",["^ ","^2","atom","^3","percent"]],"SL.EMP.VULN.MA.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.4"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","Breaking down employment information by status in employment provides a statistical basis for describing workers' behaviour and conditions of work, and for defining an individual's socio-economic group. A high proportion of wage and salaried workers in a country can signify advanced economic development. If the proportion of own-account workers (self-employed without hired employees) is sizeable, it may be an indication of a large agriculture sector and low growth in the formal economy. A high proportion of contributing family workers — generally unpaid, although compensation might come indirectly in the form of family income — may indicate weak development, little job growth, and often a large rural economy.\n\nEach status group faces different economic risks, and contributing family workers and own-account workers are the most vulnerable - and therefore the most likely to fall into poverty. They are the least likely to have formal work arrangements, are the least likely to have social protection and safety nets to guard against economic shocks, and often are incapable of generating sufficient savings to offset these shocks.","^1K","The status in employment distinguishes between two categories of the total employed: (a) wage and salaried workers (also known as employees); and (b) self-employed workers, with the subcategories: (i) self-employed workers with employees (employers), (ii) self-employed workers without employees (own-account workers), and (iii) members of producers' cooperatives and contributing family workers (also known as unpaid family workers). Vulnerable employment refers to the sum of (ii) own-account workers and (iii) contributing family workers.\n\nThe series is part of the \"ILO modeled estimates database,\" including nationally reported observations and imputed data for countries with missing data, primarily to capture regional and global trends with consistent country coverage. Country-reported microdata is based mainly on nationally representative labor force surveys, with other sources (e.g., household surveys and population censuses) considering differences in the data source, the scope of coverage, methodology, and other country-specific factors. Country analysis requires caution where limited nationally reported data are available. A series of models are also applied to impute missing observations and make projections. However, imputed observations are not based on national data, are subject to high uncertainty, and should not be used for country comparisons or rankings. For more information: https://ilostat.ilo.org/resources/concepts-and-definitions/ilo-modelled-estimates/","^1L","Weighted average","^1M","Annual","^1N","Vulnerable employment, male","^1T","Social Protection & Labor: Economic activity","^1P","World Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization, ILOSTAT at https://ilostat.ilo.org/data/.","^1Q","Vulnerable employment is contributing family workers and own-account workers as a percentage of total employment.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Vulnerable employment is contributing family workers and own-account workers as a percentage of total employment.","^1E","CC BY-4.0","^1S","Data are drawn from labor force surveys and household surveys, supplemented by official estimates and censuses for a small group of countries. Due to differences in definitions and coverage across countries, there are limitations for comparing data across countries and over time even within a country. Estimates of women in employment are not comparable internationally, reflecting that demographic, social, legal, and cultural trends and norms determine whether women's activities are regarded as economic.","^1U","Vulnerable employment, male (% of male employment) (modeled ILO estimate)","^1V","World Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization, ILOSTAT at https://ilostat.ilo.org/data/.","^1W","Given the exceptional situation, including the scarcity of relevant data, the ILO modeled estimates and projections from 2020 onwards are subject to substantial uncertainty.","^1X","Vulnerable employment, male (% of male employment) (modeled ILO estimate)"]],"^1U",["^ ","^2","atom","^3","Vulnerable employment, male (% of male employment) (modeled ILO estimate)"],"id",["^ ","^2","atom","^3","SL.EMP.VULN.MA.ZS"],"^1Y",["^ ","^2","atom","^3",[2022,["CI","NO","MW","MO","MZ","SN","BD","KZ","MU","VU","ZM","AZ","UG","ME","PR","KW","LA","KH","CD","LK","PE","AU","IE","DJ","FI","NA","NG","BZ","JG","WS","MX","TH","DK","PA","CA","T2","CO","MD","GQ","BA","VE","SY","IS","CM","GY","NL","T5","UY","US","AM","GB","JP","KP","BE","JM","SB","IR","IL","MN","HT","SO","ST","MA","CR","NZ","MT","CG","DE","GA","TT","YE","LY","PS","BW","TJ","ES","TL","TZ","XG","GW","HR","PH","SL","GM","SZ","CN","ID","VN","AO","BT","RS","NI","BB","VI","TG","RO","CH","GE","BG","MV","SI","DO","GH","ZW","GN","ET","AR","TM","BH","GR","LS","SE","LB","CL","SV","T3","PF","MG","BO","IQ","IT","LC","UZ","EG","KR","AT","LV","KM","RU","T6","T7","TO","MR","MM","SA","BJ","LT","CV","QA","TD","PT","SS","PG","RW","KE","FJ","OM","CU","GT","BS","NC","EE","GU","LR","MK","T4","JO","AE","ZA","BF","SK","CY","NE","LU","SR","BY","CF","BI","PY","SG","TN","PL","ER","HK","BR","AL","PK","SD","BN","HN","FR","VC","NP","TR","DZ","EC","CZ","MY","ZT","HU","KG","IN","ML","AF"]]],"^1Z",["^ ","^2","atom","^3",["SL.EMP.VULN.ZS","SL.EMP.VULN.FE.ZS","SL.EMP.1524.SP.FE.NE.ZS","SL.EMP.1524.SP.FE.ZS","SL.EMP.1524.SP.ZS","SL.EMP.MPYR.ZS","SL.EMP.TOTL.SP.FE.ZS","SL.EMP.WORK.FE.ZS","SL.EMP.MPYR.MA.ZS"]],"^1N",["^ ","^2","atom","^3","Vulnerable employment, male"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Vulnerable employment is contributing family workers and own-account workers as a percentage of total employment."],"^1V",["^ ","^2","atom","^3","World Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization, ILOSTAT at https://ilostat.ilo.org/data/."],"^1[",["^ ","^2","atom","^3","https://ilostat.ilo.org/data/"],"^20",["^ ","^2","atom","^3",[["^ ","id","10","^3","Social Protection & Labor"],["^ ","id","17","^3","Gender"],["^ ","id","15","^3","Social Development "]]],"^J",["^ ","^2","atom","^3","percent"]],"SL.EMP.WORK.FE.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","WV.5"],"^1H",["^ ","^2","atom","^3",1],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","Breaking down employment information by status in employment provides a statistical basis for describing workers' behaviour and conditions of work, and for defining an individual's socio-economic group. A high proportion of wage and salaried workers in a country can signify advanced economic development. If the proportion of own-account workers (self-employed without hired employees) is sizeable, it may be an indication of a large agriculture sector and low growth in the formal economy. A high proportion of contributing family workers — generally unpaid, although compensation might come indirectly in the form of family income — may indicate weak development, little job growth, and often a large rural economy.\n\nEach status group faces different economic risks, and contributing family workers and own-account workers are the most vulnerable - and therefore the most likely to fall into poverty. They are the least likely to have formal work arrangements, are the least likely to have social protection and safety nets to guard against economic shocks, and often are incapable of generating sufficient savings to offset these shocks.","^1K","The status in employment distinguishes between two categories of the total employed: (a) wage and salaried workers (also known as employees); and (b) self-employed workers, with the subcategories: (i) self-employed workers with employees (employers), (ii) self-employed workers without employees (own-account workers), and (iii) members of producers' cooperatives and contributing family workers (also known as unpaid family workers). Vulnerable employment refers to the sum of (ii) own-account workers and (iii) contributing family workers.\n\nThe series is part of the \"ILO modeled estimates database,\" including nationally reported observations and imputed data for countries with missing data, primarily to capture regional and global trends with consistent country coverage. Country-reported microdata is based mainly on nationally representative labor force surveys, with other sources (e.g., household surveys and population censuses) considering differences in the data source, the scope of coverage, methodology, and other country-specific factors. Country analysis requires caution where limited nationally reported data are available. A series of models are also applied to impute missing observations and make projections. However, imputed observations are not based on national data, are subject to high uncertainty, and should not be used for country comparisons or rankings. For more information: https://ilostat.ilo.org/resources/concepts-and-definitions/ilo-modelled-estimates/","^1L","Weighted average","^1M","Annual","^1N","Wage and salaried workers, female","^1T","Social Protection & Labor: Economic activity","^1P","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/.","^1Q","Wage and salaried workers (employees) are those workers who hold the type of jobs defined as \"paid employment jobs,\" where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Wage and salaried workers (employees) are those workers who hold the type of jobs defined as \"paid employment jobs,\" where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work.","^1E","CC BY-4.0","^1S","Data are drawn from labor force surveys and household surveys, supplemented by official estimates and censuses for a small group of countries. Due to differences in definitions and coverage across countries, there are limitations for comparing data across countries and over time even within a country. Estimates of women in employment are not comparable internationally, reflecting that demographic, social, legal, and cultural trends and norms determine whether women's activities are regarded as economic.","^1U","Wage and salaried workers, female (% of female employment) (modeled ILO estimate)","^1V","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/.","^1W","Given the exceptional situation, including the scarcity of relevant data, the ILO modeled estimates and projections from 2020 onwards are subject to substantial uncertainty.","^1X","Wage and salaried workers, female (% of female employment) (modeled ILO estimate)"]],"^1U",["^ ","^2","atom","^3","Wage and salaried workers, female (% of female employment) (modeled ILO estimate)"],"id",["^ ","^2","atom","^3","SL.EMP.WORK.FE.ZS"],"^1Y",["^ ","^2","atom","^3",[2022,["CI","NO","MW","MO","MZ","SN","BD","KZ","MU","VU","ZM","AZ","UG","ME","PR","KW","LA","KH","CD","LK","PE","AU","IE","DJ","FI","NA","NG","BZ","JG","WS","MX","TH","DK","PA","CA","T2","CO","MD","GQ","BA","VE","SY","IS","CM","GY","NL","T5","UY","US","AM","GB","JP","KP","BE","JM","SB","IR","IL","MN","HT","SO","ST","MA","CR","NZ","MT","CG","DE","GA","TT","YE","LY","PS","BW","TJ","ES","TL","TZ","XG","GW","HR","PH","SL","GM","SZ","CN","ID","VN","AO","BT","RS","NI","BB","VI","TG","RO","CH","GE","BG","MV","SI","DO","GH","ZW","GN","ET","AR","TM","BH","GR","LS","SE","LB","CL","SV","T3","PF","MG","BO","IQ","IT","LC","UZ","EG","KR","AT","LV","KM","RU","T6","T7","TO","MR","MM","SA","BJ","LT","CV","QA","TD","PT","SS","PG","RW","KE","FJ","OM","CU","GT","BS","NC","EE","GU","LR","MK","T4","JO","AE","ZA","BF","SK","CY","NE","LU","SR","BY","CF","BI","PY","SG","TN","PL","ER","HK","BR","AL","PK","SD","BN","HN","FR","VC","NP","TR","DZ","EC","CZ","MY","ZT","HU","KG","IN","ML","AF"]]],"^1Z",["^ ","^2","atom","^3",["SL.EMP.WORK.MA.ZS","SL.EMP.WORK.ZS","SL.EMP.VULN.ZS","SL.EMP.1524.SP.FE.NE.ZS","SL.EMP.1524.SP.FE.ZS","SL.EMP.1524.SP.ZS","SL.EMP.MPYR.ZS","SL.EMP.TOTL.SP.FE.ZS","SL.EMP.MPYR.MA.ZS"]],"^1N",["^ ","^2","atom","^3","Wage and salaried workers, female"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Wage and salaried workers (employees) are those workers who hold the type of jobs defined as \"paid employment jobs,\" where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work."],"^1V",["^ ","^2","atom","^3","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/."],"^1[",["^ ","^2","atom","^3","https://ilostat.ilo.org/data/"],"^20",["^ ","^2","atom","^3",[["^ ","id","10","^3","Social Protection & Labor"],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SL.EMP.WORK.MA.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","WV.5"],"^1H",["^ ","^2","atom","^3",1],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","Breaking down employment information by status in employment provides a statistical basis for describing workers' behaviour and conditions of work, and for defining an individual's socio-economic group. A high proportion of wage and salaried workers in a country can signify advanced economic development. If the proportion of own-account workers (self-employed without hired employees) is sizeable, it may be an indication of a large agriculture sector and low growth in the formal economy. A high proportion of contributing family workers — generally unpaid, although compensation might come indirectly in the form of family income — may indicate weak development, little job growth, and often a large rural economy.\n\nEach status group faces different economic risks, and contributing family workers and own-account workers are the most vulnerable - and therefore the most likely to fall into poverty. They are the least likely to have formal work arrangements, are the least likely to have social protection and safety nets to guard against economic shocks, and often are incapable of generating sufficient savings to offset these shocks.","^1K","The status in employment distinguishes between two categories of the total employed: (a) wage and salaried workers (also known as employees); and (b) self-employed workers, with the subcategories: (i) self-employed workers with employees (employers), (ii) self-employed workers without employees (own-account workers), and (iii) members of producers' cooperatives and contributing family workers (also known as unpaid family workers). Vulnerable employment refers to the sum of (ii) own-account workers and (iii) contributing family workers.\n\nThe series is part of the \"ILO modeled estimates database,\" including nationally reported observations and imputed data for countries with missing data, primarily to capture regional and global trends with consistent country coverage. Country-reported microdata is based mainly on nationally representative labor force surveys, with other sources (e.g., household surveys and population censuses) considering differences in the data source, the scope of coverage, methodology, and other country-specific factors. Country analysis requires caution where limited nationally reported data are available. A series of models are also applied to impute missing observations and make projections. However, imputed observations are not based on national data, are subject to high uncertainty, and should not be used for country comparisons or rankings. For more information: https://ilostat.ilo.org/resources/concepts-and-definitions/ilo-modelled-estimates/","^1L","Weighted average","^1M","Annual","^1N","Wage and salaried workers, male","^1T","Social Protection & Labor: Economic activity","^1P","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/.","^1Q","Wage and salaried workers (employees) are those workers who hold the type of jobs defined as \"paid employment jobs,\" where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Wage and salaried workers (employees) are those workers who hold the type of jobs defined as \"paid employment jobs,\" where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work.","^1E","CC BY-4.0","^1S","Data are drawn from labor force surveys and household surveys, supplemented by official estimates and censuses for a small group of countries. Due to differences in definitions and coverage across countries, there are limitations for comparing data across countries and over time even within a country. Estimates of women in employment are not comparable internationally, reflecting that demographic, social, legal, and cultural trends and norms determine whether women's activities are regarded as economic.","^1U","Wage and salaried workers, male (% of male employment) (modeled ILO estimate)","^1V","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/.","^1W","Given the exceptional situation, including the scarcity of relevant data, the ILO modeled estimates and projections from 2020 onwards are subject to substantial uncertainty.","^1X","Wage and salaried workers, male (% of male employment) (modeled ILO estimate)"]],"^1U",["^ ","^2","atom","^3","Wage and salaried workers, male (% of male employment) (modeled ILO estimate)"],"id",["^ ","^2","atom","^3","SL.EMP.WORK.MA.ZS"],"^1Y",["^ ","^2","atom","^3",[2022,["CI","NO","MW","MO","MZ","SN","BD","KZ","MU","VU","ZM","AZ","UG","ME","PR","KW","LA","KH","CD","LK","PE","AU","IE","DJ","FI","NA","NG","BZ","JG","WS","MX","TH","DK","PA","CA","T2","CO","MD","GQ","BA","VE","SY","IS","CM","GY","NL","T5","UY","US","AM","GB","JP","KP","BE","JM","SB","IR","IL","MN","HT","SO","ST","MA","CR","NZ","MT","CG","DE","GA","TT","YE","LY","PS","BW","TJ","ES","TL","TZ","XG","GW","HR","PH","SL","GM","SZ","CN","ID","VN","AO","BT","RS","NI","BB","VI","TG","RO","CH","GE","BG","MV","SI","DO","GH","ZW","GN","ET","AR","TM","BH","GR","LS","SE","LB","CL","SV","T3","PF","MG","BO","IQ","IT","LC","UZ","EG","KR","AT","LV","KM","RU","T6","T7","TO","MR","MM","SA","BJ","LT","CV","QA","TD","PT","SS","PG","RW","KE","FJ","OM","CU","GT","BS","NC","EE","GU","LR","MK","T4","JO","AE","ZA","BF","SK","CY","NE","LU","SR","BY","CF","BI","PY","SG","TN","PL","ER","HK","BR","AL","PK","SD","BN","HN","FR","VC","NP","TR","DZ","EC","CZ","MY","ZT","HU","KG","IN","ML","AF"]]],"^1Z",["^ ","^2","atom","^3",["SL.EMP.WORK.FE.ZS","SL.EMP.WORK.ZS","SL.EMP.VULN.ZS","SL.EMP.1524.SP.FE.NE.ZS","SL.EMP.1524.SP.FE.ZS","SL.EMP.1524.SP.ZS","SL.EMP.MPYR.ZS","SL.EMP.TOTL.SP.FE.ZS","SL.EMP.MPYR.MA.ZS"]],"^1N",["^ ","^2","atom","^3","Wage and salaried workers, male"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Wage and salaried workers (employees) are those workers who hold the type of jobs defined as \"paid employment jobs,\" where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work."],"^1V",["^ ","^2","atom","^3","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/."],"^1[",["^ ","^2","atom","^3","https://ilostat.ilo.org/data/"],"^20",["^ ","^2","atom","^3",[["^ ","id","10","^3","Social Protection & Labor"],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SL.FAM.WORK.FE.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","WV.2"],"^1H",["^ ","^2","atom","^3",1],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","Breaking down employment information by status in employment provides a statistical basis for describing workers' behaviour and conditions of work, and for defining an individual's socio-economic group. A high proportion of wage and salaried workers in a country can signify advanced economic development. If the proportion of own-account workers (self-employed without hired employees) is sizeable, it may be an indication of a large agriculture sector and low growth in the formal economy. A high proportion of contributing family workers — generally unpaid, although compensation might come indirectly in the form of family income — may indicate weak development, little job growth, and often a large rural economy.\n\nEach status group faces different economic risks, and contributing family workers and own-account workers are the most vulnerable - and therefore the most likely to fall into poverty. They are the least likely to have formal work arrangements, are the least likely to have social protection and safety nets to guard against economic shocks, and often are incapable of generating sufficient savings to offset these shocks.","^1K","The status in employment distinguishes between two categories of the total employed: (a) wage and salaried workers (also known as employees); and (b) self-employed workers, with the subcategories: (i) self-employed workers with employees (employers), (ii) self-employed workers without employees (own-account workers), and (iii) members of producers' cooperatives and contributing family workers (also known as unpaid family workers). Vulnerable employment refers to the sum of (ii) own-account workers and (iii) contributing family workers.\n\nThe series is part of the \"ILO modeled estimates database,\" including nationally reported observations and imputed data for countries with missing data, primarily to capture regional and global trends with consistent country coverage. Country-reported microdata is based mainly on nationally representative labor force surveys, with other sources (e.g., household surveys and population censuses) considering differences in the data source, the scope of coverage, methodology, and other country-specific factors. Country analysis requires caution where limited nationally reported data are available. A series of models are also applied to impute missing observations and make projections. However, imputed observations are not based on national data, are subject to high uncertainty, and should not be used for country comparisons or rankings. For more information: https://ilostat.ilo.org/resources/concepts-and-definitions/ilo-modelled-estimates/","^1L","Weighted average","^1M","Annual","^1N","Contributing family workers, female","^1T","Social Protection & Labor: Economic activity","^1P","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/.","^1Q","Contributing family workers are those workers who hold \"self-employment jobs\" as own-account workers in a market-oriented establishment operated by a related person living in the same household.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Contributing family workers are those workers who hold \"self-employment jobs\" as own-account workers in a market-oriented establishment operated by a related person living in the same household.","^1E","CC BY-4.0","^1S","Data are drawn from labor force surveys and household surveys, supplemented by official estimates and censuses for a small group of countries. Due to differences in definitions and coverage across countries, there are limitations for comparing data across countries and over time even within a country. Estimates of women in employment are not comparable internationally, reflecting that demographic, social, legal, and cultural trends and norms determine whether women's activities are regarded as economic.","^1U","Contributing family workers, female (% of female employment) (modeled ILO estimate)","^1V","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/.","^1W","Given the exceptional situation, including the scarcity of relevant data, the ILO modeled estimates and projections from 2020 onwards are subject to substantial uncertainty.","^1X","Contributing family workers, female (% of female employment) (modeled ILO estimate)"]],"^1U",["^ ","^2","atom","^3","Contributing family workers, female (% of female employment) (modeled ILO estimate)"],"id",["^ ","^2","atom","^3","SL.FAM.WORK.FE.ZS"],"^1Y",["^ ","^2","atom","^3",[2022,["CI","NO","MW","MO","MZ","SN","BD","KZ","MU","VU","ZM","AZ","UG","ME","PR","KW","LA","KH","CD","LK","PE","AU","IE","DJ","FI","NA","NG","BZ","JG","WS","MX","TH","DK","PA","CA","T2","CO","MD","GQ","BA","VE","SY","IS","CM","GY","NL","T5","UY","US","AM","GB","JP","KP","BE","JM","SB","IR","IL","MN","HT","SO","ST","MA","CR","NZ","MT","CG","DE","GA","TT","YE","LY","PS","BW","TJ","ES","TL","TZ","XG","GW","HR","PH","SL","GM","SZ","CN","ID","VN","AO","BT","RS","NI","BB","VI","TG","RO","CH","GE","BG","MV","SI","DO","GH","ZW","GN","ET","AR","TM","BH","GR","LS","SE","LB","CL","SV","T3","PF","MG","BO","IQ","IT","LC","UZ","EG","KR","AT","LV","KM","RU","T6","T7","TO","MR","MM","SA","BJ","LT","CV","QA","TD","PT","SS","PG","RW","KE","FJ","OM","CU","GT","BS","NC","EE","GU","LR","MK","T4","JO","AE","ZA","BF","SK","CY","NE","LU","SR","BY","CF","BI","PY","SG","TN","PL","ER","HK","BR","AL","PK","SD","BN","HN","FR","VC","NP","TR","DZ","EC","CZ","MY","ZT","HU","KG","IN","ML","AF"]]],"^1Z",["^ ","^2","atom","^3",["SL.FAM.WORK.MA.ZS","SL.FAM.WORK.ZS","SL.FAM.0714.ZS","SL.FAM.0714.MA.ZS","SL.FAM.0714.FE.ZS","SL.EMP.VULN.ZS","SL.TLF.0714.SW.TM","SL.TLF.CACT.NE.ZS","SL.SLF.0714.FE.ZS"]],"^1N",["^ ","^2","atom","^3","Contributing family workers, female"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Contributing family workers are those workers who hold \"self-employment jobs\" as own-account workers in a market-oriented establishment operated by a related person living in the same household."],"^1V",["^ ","^2","atom","^3","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/."],"^1[",["^ ","^2","atom","^3","https://ilostat.ilo.org/data/"],"^20",["^ ","^2","atom","^3",[["^ ","id","10","^3","Social Protection & Labor"],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SL.FAM.WORK.MA.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","WV.2"],"^1H",["^ ","^2","atom","^3",1],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","Breaking down employment information by status in employment provides a statistical basis for describing workers' behaviour and conditions of work, and for defining an individual's socio-economic group. A high proportion of wage and salaried workers in a country can signify advanced economic development. If the proportion of own-account workers (self-employed without hired employees) is sizeable, it may be an indication of a large agriculture sector and low growth in the formal economy. A high proportion of contributing family workers — generally unpaid, although compensation might come indirectly in the form of family income — may indicate weak development, little job growth, and often a large rural economy.\n\nEach status group faces different economic risks, and contributing family workers and own-account workers are the most vulnerable - and therefore the most likely to fall into poverty. They are the least likely to have formal work arrangements, are the least likely to have social protection and safety nets to guard against economic shocks, and often are incapable of generating sufficient savings to offset these shocks.","^1K","The status in employment distinguishes between two categories of the total employed: (a) wage and salaried workers (also known as employees); and (b) self-employed workers, with the subcategories: (i) self-employed workers with employees (employers), (ii) self-employed workers without employees (own-account workers), and (iii) members of producers' cooperatives and contributing family workers (also known as unpaid family workers). Vulnerable employment refers to the sum of (ii) own-account workers and (iii) contributing family workers.\n\nThe series is part of the \"ILO modeled estimates database,\" including nationally reported observations and imputed data for countries with missing data, primarily to capture regional and global trends with consistent country coverage. Country-reported microdata is based mainly on nationally representative labor force surveys, with other sources (e.g., household surveys and population censuses) considering differences in the data source, the scope of coverage, methodology, and other country-specific factors. Country analysis requires caution where limited nationally reported data are available. A series of models are also applied to impute missing observations and make projections. However, imputed observations are not based on national data, are subject to high uncertainty, and should not be used for country comparisons or rankings. For more information: https://ilostat.ilo.org/resources/concepts-and-definitions/ilo-modelled-estimates/","^1L","Weighted average","^1M","Annual","^1N","Contributing family workers, male","^1T","Social Protection & Labor: Economic activity","^1P","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/.","^1Q","Contributing family workers are those workers who hold \"self-employment jobs\" as own-account workers in a market-oriented establishment operated by a related person living in the same household.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Contributing family workers are those workers who hold \"self-employment jobs\" as own-account workers in a market-oriented establishment operated by a related person living in the same household.","^1E","CC BY-4.0","^1S","Data are drawn from labor force surveys and household surveys, supplemented by official estimates and censuses for a small group of countries. Due to differences in definitions and coverage across countries, there are limitations for comparing data across countries and over time even within a country. Estimates of women in employment are not comparable internationally, reflecting that demographic, social, legal, and cultural trends and norms determine whether women's activities are regarded as economic.","^1U","Contributing family workers, male (% of male employment) (modeled ILO estimate)","^1V","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/.","^1W","Given the exceptional situation, including the scarcity of relevant data, the ILO modeled estimates and projections from 2020 onwards are subject to substantial uncertainty.","^1X","Contributing family workers, male (% of male employment) (modeled ILO estimate)"]],"^1U",["^ ","^2","atom","^3","Contributing family workers, male (% of male employment) (modeled ILO estimate)"],"id",["^ ","^2","atom","^3","SL.FAM.WORK.MA.ZS"],"^1Y",["^ ","^2","atom","^3",[2022,["CI","NO","MW","MO","MZ","SN","BD","KZ","MU","VU","ZM","AZ","UG","ME","PR","KW","LA","KH","CD","LK","PE","AU","IE","DJ","FI","NA","NG","BZ","JG","WS","MX","TH","DK","PA","CA","T2","CO","MD","GQ","BA","VE","SY","IS","CM","GY","NL","T5","UY","US","AM","GB","JP","KP","BE","JM","SB","IR","IL","MN","HT","SO","ST","MA","CR","NZ","MT","CG","DE","GA","TT","YE","LY","PS","BW","TJ","ES","TL","TZ","XG","GW","HR","PH","SL","GM","SZ","CN","ID","VN","AO","BT","RS","NI","BB","VI","TG","RO","CH","GE","BG","MV","SI","DO","GH","ZW","GN","ET","AR","TM","BH","GR","LS","SE","LB","CL","SV","T3","PF","MG","BO","IQ","IT","LC","UZ","EG","KR","AT","LV","KM","RU","T6","T7","TO","MR","MM","SA","BJ","LT","CV","QA","TD","PT","SS","PG","RW","KE","FJ","OM","CU","GT","BS","NC","EE","GU","LR","MK","T4","JO","AE","ZA","BF","SK","CY","NE","LU","SR","BY","CF","BI","PY","SG","TN","PL","ER","HK","BR","AL","PK","SD","BN","HN","FR","VC","NP","TR","DZ","EC","CZ","MY","ZT","HU","KG","IN","ML","AF"]]],"^1Z",["^ ","^2","atom","^3",["SL.FAM.WORK.ZS","SL.FAM.WORK.FE.ZS","SL.FAM.0714.ZS","SL.FAM.0714.MA.ZS","SL.FAM.0714.FE.ZS","SL.EMP.VULN.ZS","SL.TLF.0714.SW.TM","SL.TLF.CACT.NE.ZS","SL.SLF.0714.FE.ZS"]],"^1N",["^ ","^2","atom","^3","Contributing family workers, male"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Contributing family workers are those workers who hold \"self-employment jobs\" as own-account workers in a market-oriented establishment operated by a related person living in the same household."],"^1V",["^ ","^2","atom","^3","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/."],"^1[",["^ ","^2","atom","^3","https://ilostat.ilo.org/data/"],"^20",["^ ","^2","atom","^3",[["^ ","id","10","^3","Social Protection & Labor"],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SL.IND.EMPL.FE.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.3"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","Sectoral information is particularly useful in identifying broad shifts in employment and stages of development. In the textbook case of economic development, labour flows from agriculture and other labour-intensive primary activities to industry and finally to the services sector; in the process, workers migrate from rural to urban areas.\n\nThe breakdown of the indicator by sex allows for analysis of gender segregation of employment by specific sector. Women may be drawn into lower-paying service activities that allow for more flexible work schedules thus making it easier to balance family responsibilities with work life. Segregation of women in certain sectors may also result from cultural attitudes that prevent them from entering industrial employment.\n\nSegregating one sex in a narrow range of occupations significantly reduces economic efficiency by reducing labor market flexibility and thus the economy's ability to adapt to change. This segregation is particularly harmful for women, who have a much narrower range of labor market choices and lower levels of pay than men. But it is also detrimental to men when job losses are concentrated in industries dominated by men and job growth is centered in service occupations, where women have better chances, as has been the recent experience in many countries.","^1K","The International Labour Organization (ILO) classifies economic activity using the International Standard Industrial Classification (ISIC) of All Economic Activities, revision 2 (1968), revision 3 (1990), and revision 4 (2008). Because this classification is based on where work is performed (industry) rather than type of work performed (occupation), all of an enterprise's employees are classified under the same industry, regardless of their trade or occupation. The categories should sum to 100 percent. Where they do not, the differences are due to workers who are not classified by economic activity.\n\nThe series is part of the \"ILO modeled estimates database,\" including nationally reported observations and imputed data for countries with missing data, primarily to capture regional and global trends with consistent country coverage. Country-reported microdata is based mainly on nationally representative labor force surveys, with other sources (e.g., household surveys and population censuses) considering differences in the data source, the scope of coverage, methodology, and other country-specific factors. Country analysis requires caution where limited nationally reported data are available. A series of models are also applied to impute missing observations and make projections. However, imputed observations are not based on national data, are subject to high uncertainty, and should not be used for country comparisons or rankings. For more information: https://ilostat.ilo.org/resources/concepts-and-definitions/ilo-modelled-estimates/","^1L","Weighted average","^1M","Annual","^1N","Employment in industry, female","^1T","Social Protection & Labor: Economic activity","^1P","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/.","^1Q","Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The industry sector consists of mining and quarrying, manufacturing, construction, and public utilities (electricity, gas, and water), in accordance with divisions 2-5 (ISIC 2) or categories C-F (ISIC 3) or categories B-F (ISIC 4).","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The industry sector consists of mining and quarrying, manufacturing, construction, and public utilities (electricity, gas, and water), in accordance with divisions 2-5 (ISIC 2) or categories C-F (ISIC 3) or categories B-F (ISIC 4).","^1E","CC BY-4.0","^1S","There are many differences in how countries define and measure employment status, particularly members of the armed forces, self-employed workers, and unpaid family workers. Where members of the armed forces are included, they are allocated to the service sector, causing that sector to be somewhat overstated relative to the service sector in economies where they are excluded. Where data are obtained from establishment surveys, data cover only employees; thus self-employed and unpaid family workers are excluded. In such cases the employment share of the agricultural sector is severely underreported. Caution should be also used where the data refer only to urban areas, which record little or no agricultural work. Moreover, the age group and area covered could differ by country or change over time within a country. For detailed information, consult the original source.\n\nCountries also take different approaches to the treatment of unemployed people. In most countries unemployed people with previous job experience are classified according to their last job. But in some countries the unemployed and people seeking their first job are not classifiable by economic activity. Because of these differences, the size and distribution of employment by economic activity may not be fully comparable across countries.\n\nThe ILO reports data by major divisions of the ISIC revision 2, revision 3, or revision 4. Broad classification such as employment by agriculture, industry, and services may obscure fundamental shifts within countries' industrial patterns. A slight majority of countries report economic activity according to the ISIC revision 3 instead of revision 2 or revision 4. The use of one classification or the other should not have a significant impact on the information for the employment of the three broad sectors data.","^1U","Employment in industry, female (% of female employment) (modeled ILO estimate)","^1V","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/.","^1W","Given the exceptional situation, including the scarcity of relevant data, the ILO modeled estimates and projections from 2020 onwards are subject to substantial uncertainty.","^1X","Employment in industry, female (% of female employment) (modeled ILO estimate)"]],"^1U",["^ ","^2","atom","^3","Employment in industry, female (% of female employment) (modeled ILO estimate)"],"id",["^ ","^2","atom","^3","SL.IND.EMPL.FE.ZS"],"^1Y",["^ ","^2","atom","^3",[2022,["CI","NO","MW","MO","MZ","SN","BD","KZ","MU","VU","ZM","AZ","UG","ME","PR","KW","LA","KH","CD","LK","PE","AU","IE","DJ","FI","NA","NG","BZ","JG","WS","MX","TH","DK","PA","CA","T2","CO","MD","GQ","BA","VE","SY","IS","CM","GY","NL","T5","UY","US","AM","GB","JP","KP","BE","JM","SB","IR","IL","MN","HT","SO","ST","MA","CR","NZ","MT","CG","DE","GA","TT","YE","LY","PS","BW","TJ","ES","TL","TZ","XG","GW","HR","PH","SL","GM","SZ","CN","ID","VN","AO","BT","RS","NI","BB","VI","TG","RO","CH","GE","BG","MV","SI","DO","GH","ZW","GN","ET","AR","TM","BH","GR","LS","SE","LB","CL","SV","T3","PF","MG","BO","IQ","IT","LC","UZ","EG","KR","AT","LV","KM","RU","T6","T7","TO","MR","MM","SA","BJ","LT","CV","QA","TD","PT","SS","PG","RW","KE","FJ","OM","CU","GT","BS","NC","EE","GU","LR","MK","T4","JO","AE","ZA","BF","SK","CY","NE","LU","SR","BY","CF","BI","PY","SG","TN","PL","ER","HK","BR","AL","PK","SD","BN","HN","FR","VC","NP","TR","DZ","EC","CZ","MY","ZT","HU","KG","IN","ML","AF"]]],"^1Z",["^ ","^2","atom","^3",["SL.SRV.EMPL.FE.ZS","SL.AGR.EMPL.FE.ZS","SL.IND.EMPL.ZS","SL.IND.EMPL.MA.ZS","SL.IND.EMPL.FE.ZS","SL.IND.EMPL.MA.ZS","SL.IND.EMPL.ZS","SL.EMP.VULN.ZS","SL.TLF.0714.SW.TM"]],"^1N",["^ ","^2","atom","^3","Employment in industry, female"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The industry sector consists of mining and quarrying, manufacturing, construction, and public utilities (electricity, gas, and water), in accordance with divisions 2-5 (ISIC 2) or categories C-F (ISIC 3) or categories B-F (ISIC 4)."],"^1V",["^ ","^2","atom","^3","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/."],"^1[",["^ ","^2","atom","^3","https://ilostat.ilo.org/data/"],"^20",["^ ","^2","atom","^3",[["^ ","id","10","^3","Social Protection & Labor"],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SL.IND.EMPL.MA.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.3"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","Sectoral information is particularly useful in identifying broad shifts in employment and stages of development. In the textbook case of economic development, labour flows from agriculture and other labour-intensive primary activities to industry and finally to the services sector; in the process, workers migrate from rural to urban areas.\n\nThe breakdown of the indicator by sex allows for analysis of gender segregation of employment by specific sector. Women may be drawn into lower-paying service activities that allow for more flexible work schedules thus making it easier to balance family responsibilities with work life. Segregation of women in certain sectors may also result from cultural attitudes that prevent them from entering industrial employment.\n\nSegregating one sex in a narrow range of occupations significantly reduces economic efficiency by reducing labor market flexibility and thus the economy's ability to adapt to change. This segregation is particularly harmful for women, who have a much narrower range of labor market choices and lower levels of pay than men. But it is also detrimental to men when job losses are concentrated in industries dominated by men and job growth is centered in service occupations, where women have better chances, as has been the recent experience in many countries.","^1K","The International Labour Organization (ILO) classifies economic activity using the International Standard Industrial Classification (ISIC) of All Economic Activities, revision 2 (1968), revision 3 (1990), and revision 4 (2008). Because this classification is based on where work is performed (industry) rather than type of work performed (occupation), all of an enterprise's employees are classified under the same industry, regardless of their trade or occupation. The categories should sum to 100 percent. Where they do not, the differences are due to workers who are not classified by economic activity.\n\nThe series is part of the \"ILO modeled estimates database,\" including nationally reported observations and imputed data for countries with missing data, primarily to capture regional and global trends with consistent country coverage. Country-reported microdata is based mainly on nationally representative labor force surveys, with other sources (e.g., household surveys and population censuses) considering differences in the data source, the scope of coverage, methodology, and other country-specific factors. Country analysis requires caution where limited nationally reported data are available. A series of models are also applied to impute missing observations and make projections. However, imputed observations are not based on national data, are subject to high uncertainty, and should not be used for country comparisons or rankings. For more information: https://ilostat.ilo.org/resources/concepts-and-definitions/ilo-modelled-estimates/","^1L","Weighted average","^1M","Annual","^1N","Employment in industry, male","^1T","Social Protection & Labor: Economic activity","^1P","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/.","^1Q","Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The industry sector consists of mining and quarrying, manufacturing, construction, and public utilities (electricity, gas, and water), in accordance with divisions 2-5 (ISIC 2) or categories C-F (ISIC 3) or categories B-F (ISIC 4).","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The industry sector consists of mining and quarrying, manufacturing, construction, and public utilities (electricity, gas, and water), in accordance with divisions 2-5 (ISIC 2) or categories C-F (ISIC 3) or categories B-F (ISIC 4).","^1E","CC BY-4.0","^1S","There are many differences in how countries define and measure employment status, particularly members of the armed forces, self-employed workers, and unpaid family workers. Where members of the armed forces are included, they are allocated to the service sector, causing that sector to be somewhat overstated relative to the service sector in economies where they are excluded. Where data are obtained from establishment surveys, data cover only employees; thus self-employed and unpaid family workers are excluded. In such cases the employment share of the agricultural sector is severely underreported. Caution should be also used where the data refer only to urban areas, which record little or no agricultural work. Moreover, the age group and area covered could differ by country or change over time within a country. For detailed information, consult the original source.\n\nCountries also take different approaches to the treatment of unemployed people. In most countries unemployed people with previous job experience are classified according to their last job. But in some countries the unemployed and people seeking their first job are not classifiable by economic activity. Because of these differences, the size and distribution of employment by economic activity may not be fully comparable across countries.\n\nThe ILO reports data by major divisions of the ISIC revision 2, revision 3, or revision 4. Broad classification such as employment by agriculture, industry, and services may obscure fundamental shifts within countries' industrial patterns. A slight majority of countries report economic activity according to the ISIC revision 3 instead of revision 2 or revision 4. The use of one classification or the other should not have a significant impact on the information for the employment of the three broad sectors data.","^1U","Employment in industry, male (% of male employment) (modeled ILO estimate)","^1V","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/.","^1W","Given the exceptional situation, including the scarcity of relevant data, the ILO modeled estimates and projections from 2020 onwards are subject to substantial uncertainty.","^1X","Employment in industry, male (% of male employment) (modeled ILO estimate)"]],"^1U",["^ ","^2","atom","^3","Employment in industry, male (% of male employment) (modeled ILO estimate)"],"id",["^ ","^2","atom","^3","SL.IND.EMPL.MA.ZS"],"^1Y",["^ ","^2","atom","^3",[2022,["CI","NO","MW","MO","MZ","SN","BD","KZ","MU","VU","ZM","AZ","UG","ME","PR","KW","LA","KH","CD","LK","PE","AU","IE","DJ","FI","NA","NG","BZ","JG","WS","MX","TH","DK","PA","CA","T2","CO","MD","GQ","BA","VE","SY","IS","CM","GY","NL","T5","UY","US","AM","GB","JP","KP","BE","JM","SB","IR","IL","MN","HT","SO","ST","MA","CR","NZ","MT","CG","DE","GA","TT","YE","LY","PS","BW","TJ","ES","TL","TZ","XG","GW","HR","PH","SL","GM","SZ","CN","ID","VN","AO","BT","RS","NI","BB","VI","TG","RO","CH","GE","BG","MV","SI","DO","GH","ZW","GN","ET","AR","TM","BH","GR","LS","SE","LB","CL","SV","T3","PF","MG","BO","IQ","IT","LC","UZ","EG","KR","AT","LV","KM","RU","T6","T7","TO","MR","MM","SA","BJ","LT","CV","QA","TD","PT","SS","PG","RW","KE","FJ","OM","CU","GT","BS","NC","EE","GU","LR","MK","T4","JO","AE","ZA","BF","SK","CY","NE","LU","SR","BY","CF","BI","PY","SG","TN","PL","ER","HK","BR","AL","PK","SD","BN","HN","FR","VC","NP","TR","DZ","EC","CZ","MY","ZT","HU","KG","IN","ML","AF"]]],"^1Z",["^ ","^2","atom","^3",["SL.AGR.EMPL.MA.ZS","SL.SRV.EMPL.MA.ZS","SL.IND.EMPL.ZS","SL.IND.EMPL.MA.ZS","SL.IND.EMPL.FE.ZS","SL.IND.EMPL.ZS","SL.IND.EMPL.FE.ZS","SL.EMP.VULN.ZS","SL.TLF.0714.SW.TM"]],"^1N",["^ ","^2","atom","^3","Employment in industry, male"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The industry sector consists of mining and quarrying, manufacturing, construction, and public utilities (electricity, gas, and water), in accordance with divisions 2-5 (ISIC 2) or categories C-F (ISIC 3) or categories B-F (ISIC 4)."],"^1V",["^ ","^2","atom","^3","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/."],"^1[",["^ ","^2","atom","^3","https://ilostat.ilo.org/data/"],"^20",["^ ","^2","atom","^3",[["^ ","id","10","^3","Social Protection & Labor"],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SL.SRV.EMPL.FE.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.3"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","Sectoral information is particularly useful in identifying broad shifts in employment and stages of development. In the textbook case of economic development, labour flows from agriculture and other labour-intensive primary activities to industry and finally to the services sector; in the process, workers migrate from rural to urban areas.\n\nThe breakdown of the indicator by sex allows for analysis of gender segregation of employment by specific sector. Women may be drawn into lower-paying service activities that allow for more flexible work schedules thus making it easier to balance family responsibilities with work life. Segregation of women in certain sectors may also result from cultural attitudes that prevent them from entering industrial employment.\n\nSegregating one sex in a narrow range of occupations significantly reduces economic efficiency by reducing labor market flexibility and thus the economy's ability to adapt to change. This segregation is particularly harmful for women, who have a much narrower range of labor market choices and lower levels of pay than men. But it is also detrimental to men when job losses are concentrated in industries dominated by men and job growth is centered in service occupations, where women have better chances, as has been the recent experience in many countries.","^1K","The International Labour Organization (ILO) classifies economic activity using the International Standard Industrial Classification (ISIC) of All Economic Activities, revision 2 (1968), revision 3 (1990), and revision 4 (2008). Because this classification is based on where work is performed (industry) rather than type of work performed (occupation), all of an enterprise's employees are classified under the same industry, regardless of their trade or occupation. The categories should sum to 100 percent. Where they do not, the differences are due to workers who are not classified by economic activity.\n\nThe series is part of the \"ILO modeled estimates database,\" including nationally reported observations and imputed data for countries with missing data, primarily to capture regional and global trends with consistent country coverage. Country-reported microdata is based mainly on nationally representative labor force surveys, with other sources (e.g., household surveys and population censuses) considering differences in the data source, the scope of coverage, methodology, and other country-specific factors. Country analysis requires caution where limited nationally reported data are available. A series of models are also applied to impute missing observations and make projections. However, imputed observations are not based on national data, are subject to high uncertainty, and should not be used for country comparisons or rankings. For more information: https://ilostat.ilo.org/resources/concepts-and-definitions/ilo-modelled-estimates/","^1L","Weighted average","^1M","Annual","^1N","Employment in services, female","^1T","Social Protection & Labor: Economic activity","^1P","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/.","^1Q","Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The services sector consists of wholesale and retail trade and restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social, and personal services, in accordance with divisions 6-9 (ISIC 2) or categories G-Q (ISIC 3) or categories G-U (ISIC 4).","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The services sector consists of wholesale and retail trade and restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social, and personal services, in accordance with divisions 6-9 (ISIC 2) or categories G-Q (ISIC 3) or categories G-U (ISIC 4).","^1E","CC BY-4.0","^1S","There are many differences in how countries define and measure employment status, particularly members of the armed forces, self-employed workers, and unpaid family workers. Where members of the armed forces are included, they are allocated to the service sector, causing that sector to be somewhat overstated relative to the service sector in economies where they are excluded. Where data are obtained from establishment surveys, data cover only employees; thus self-employed and unpaid family workers are excluded. In such cases the employment share of the agricultural sector is severely underreported. Caution should be also used where the data refer only to urban areas, which record little or no agricultural work. Moreover, the age group and area covered could differ by country or change over time within a country. For detailed information, consult the original source.\n\nCountries also take different approaches to the treatment of unemployed people. In most countries unemployed people with previous job experience are classified according to their last job. But in some countries the unemployed and people seeking their first job are not classifiable by economic activity. Because of these differences, the size and distribution of employment by economic activity may not be fully comparable across countries.\n\nThe ILO reports data by major divisions of the ISIC revision 2, revision 3, or revision 4. Broad classification such as employment by agriculture, industry, and services may obscure fundamental shifts within countries' industrial patterns. A slight majority of countries report economic activity according to the ISIC revision 3 instead of revision 2 or revision 4. The use of one classification or the other should not have a significant impact on the information for the employment of three broad sectors data.","^1U","Employment in services, female (% of female employment) (modeled ILO estimate)","^1V","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/.","^1W","Given the exceptional situation, including the scarcity of relevant data, the ILO modeled estimates and projections from 2020 onwards are subject to substantial uncertainty.","^1X","Employment in services, female (% of female employment) (modeled ILO estimate)"]],"^1U",["^ ","^2","atom","^3","Employment in services, female (% of female employment) (modeled ILO estimate)"],"id",["^ ","^2","atom","^3","SL.SRV.EMPL.FE.ZS"],"^1Y",["^ ","^2","atom","^3",[2022,["CI","NO","MW","MO","MZ","SN","BD","KZ","MU","VU","ZM","AZ","UG","ME","PR","KW","LA","KH","CD","LK","PE","AU","IE","DJ","FI","NA","NG","BZ","JG","WS","MX","TH","DK","PA","CA","T2","CO","MD","GQ","BA","VE","SY","IS","CM","GY","NL","T5","UY","US","AM","GB","JP","KP","BE","JM","SB","IR","IL","MN","HT","SO","ST","MA","CR","NZ","MT","CG","DE","GA","TT","YE","LY","PS","BW","TJ","ES","TL","TZ","XG","GW","HR","PH","SL","GM","SZ","CN","ID","VN","AO","BT","RS","NI","BB","VI","TG","RO","CH","GE","BG","MV","SI","DO","GH","ZW","GN","ET","AR","TM","BH","GR","LS","SE","LB","CL","SV","T3","PF","MG","BO","IQ","IT","LC","UZ","EG","KR","AT","LV","KM","RU","T6","T7","TO","MR","MM","SA","BJ","LT","CV","QA","TD","PT","SS","PG","RW","KE","FJ","OM","CU","GT","BS","NC","EE","GU","LR","MK","T4","JO","AE","ZA","BF","SK","CY","NE","LU","SR","BY","CF","BI","PY","SG","TN","PL","ER","HK","BR","AL","PK","SD","BN","HN","FR","VC","NP","TR","DZ","EC","CZ","MY","ZT","HU","KG","IN","ML","AF"]]],"^1Z",["^ ","^2","atom","^3",["SL.SRV.EMPL.FE.ZS","SL.SRV.EMPL.MA.ZS","SL.AGR.EMPL.FE.ZS","SL.IND.EMPL.FE.ZS","SL.SRV.EMPL.ZS","SL.SRV.EMPL.MA.ZS","SL.SRV.EMPL.ZS","SL.SRV.0714.FE.ZS","SL.SRV.0714.MA.ZS"]],"^1N",["^ ","^2","atom","^3","Employment in services, female"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The services sector consists of wholesale and retail trade and restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social, and personal services, in accordance with divisions 6-9 (ISIC 2) or categories G-Q (ISIC 3) or categories G-U (ISIC 4)."],"^1V",["^ ","^2","atom","^3","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/."],"^1[",["^ ","^2","atom","^3","https://ilostat.ilo.org/data/"],"^20",["^ ","^2","atom","^3",[["^ ","id","10","^3","Social Protection & Labor"],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SL.SRV.EMPL.MA.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.3"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","Sectoral information is particularly useful in identifying broad shifts in employment and stages of development. In the textbook case of economic development, labour flows from agriculture and other labour-intensive primary activities to industry and finally to the services sector; in the process, workers migrate from rural to urban areas.\n\nThe breakdown of the indicator by sex allows for analysis of gender segregation of employment by specific sector. Women may be drawn into lower-paying service activities that allow for more flexible work schedules thus making it easier to balance family responsibilities with work life. Segregation of women in certain sectors may also result from cultural attitudes that prevent them from entering industrial employment.\n\nSegregating one sex in a narrow range of occupations significantly reduces economic efficiency by reducing labor market flexibility and thus the economy's ability to adapt to change. This segregation is particularly harmful for women, who have a much narrower range of labor market choices and lower levels of pay than men. But it is also detrimental to men when job losses are concentrated in industries dominated by men and job growth is centered in service occupations, where women have better chances, as has been the recent experience in many countries.","^1K","The International Labour Organization (ILO) classifies economic activity using the International Standard Industrial Classification (ISIC) of All Economic Activities, revision 2 (1968), revision 3 (1990), and revision 4 (2008). Because this classification is based on where work is performed (industry) rather than type of work performed (occupation), all of an enterprise's employees are classified under the same industry, regardless of their trade or occupation. The categories should sum to 100 percent. Where they do not, the differences are due to workers who are not classified by economic activity.\n\nThe series is part of the \"ILO modeled estimates database,\" including nationally reported observations and imputed data for countries with missing data, primarily to capture regional and global trends with consistent country coverage. Country-reported microdata is based mainly on nationally representative labor force surveys, with other sources (e.g., household surveys and population censuses) considering differences in the data source, the scope of coverage, methodology, and other country-specific factors. Country analysis requires caution where limited nationally reported data are available. A series of models are also applied to impute missing observations and make projections. However, imputed observations are not based on national data, are subject to high uncertainty, and should not be used for country comparisons or rankings. For more information: https://ilostat.ilo.org/resources/concepts-and-definitions/ilo-modelled-estimates/","^1L","Weighted average","^1M","Annual","^1N","Employment in services, male","^1T","Social Protection & Labor: Economic activity","^1P","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/.","^1Q","Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The services sector consists of wholesale and retail trade and restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social, and personal services, in accordance with divisions 6-9 (ISIC 2) or categories G-Q (ISIC 3) or categories G-U (ISIC 4).","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The services sector consists of wholesale and retail trade and restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social, and personal services, in accordance with divisions 6-9 (ISIC 2) or categories G-Q (ISIC 3) or categories G-U (ISIC 4).","^1E","CC BY-4.0","^1S","There are many differences in how countries define and measure employment status, particularly members of the armed forces, self-employed workers, and unpaid family workers. Where members of the armed forces are included, they are allocated to the service sector, causing that sector to be somewhat overstated relative to the service sector in economies where they are excluded. Where data are obtained from establishment surveys, data cover only employees; thus self-employed and unpaid family workers are excluded. In such cases the employment share of the agricultural sector is severely underreported. Caution should be also used where the data refer only to urban areas, which record little or no agricultural work. Moreover, the age group and area covered could differ by country or change over time within a country. For detailed information, consult the original source.\n\nCountries also take different approaches to the treatment of unemployed people. In most countries unemployed people with previous job experience are classified according to their last job. But in some countries the unemployed and people seeking their first job are not classifiable by economic activity. Because of these differences, the size and distribution of employment by economic activity may not be fully comparable across countries.\n\nThe ILO reports data by major divisions of the ISIC revision 2, revision 3, or revision 4. Broad classification such as employment by agriculture, industry, and services may obscure fundamental shifts within countries' industrial patterns. A slight majority of countries report economic activity according to the ISIC revision 3 instead of revision 2 or revision 4. The use of one classification or the other should not have a significant impact on the information for the employment of three broad sectors data.","^1U","Employment in services, male (% of male employment) (modeled ILO estimate)","^1V","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/.","^1W","Given the exceptional situation, including the scarcity of relevant data, the ILO modeled estimates and projections from 2020 onwards are subject to substantial uncertainty.","^1X","Employment in services, male (% of male employment) (modeled ILO estimate)"]],"^1U",["^ ","^2","atom","^3","Employment in services, male (% of male employment) (modeled ILO estimate)"],"id",["^ ","^2","atom","^3","SL.SRV.EMPL.MA.ZS"],"^1Y",["^ ","^2","atom","^3",[2022,["CI","NO","MW","MO","MZ","SN","BD","KZ","MU","VU","ZM","AZ","UG","ME","PR","KW","LA","KH","CD","LK","PE","AU","IE","DJ","FI","NA","NG","BZ","JG","WS","MX","TH","DK","PA","CA","T2","CO","MD","GQ","BA","VE","SY","IS","CM","GY","NL","T5","UY","US","AM","GB","JP","KP","BE","JM","SB","IR","IL","MN","HT","SO","ST","MA","CR","NZ","MT","CG","DE","GA","TT","YE","LY","PS","BW","TJ","ES","TL","TZ","XG","GW","HR","PH","SL","GM","SZ","CN","ID","VN","AO","BT","RS","NI","BB","VI","TG","RO","CH","GE","BG","MV","SI","DO","GH","ZW","GN","ET","AR","TM","BH","GR","LS","SE","LB","CL","SV","T3","PF","MG","BO","IQ","IT","LC","UZ","EG","KR","AT","LV","KM","RU","T6","T7","TO","MR","MM","SA","BJ","LT","CV","QA","TD","PT","SS","PG","RW","KE","FJ","OM","CU","GT","BS","NC","EE","GU","LR","MK","T4","JO","AE","ZA","BF","SK","CY","NE","LU","SR","BY","CF","BI","PY","SG","TN","PL","ER","HK","BR","AL","PK","SD","BN","HN","FR","VC","NP","TR","DZ","EC","CZ","MY","ZT","HU","KG","IN","ML","AF"]]],"^1Z",["^ ","^2","atom","^3",["SL.AGR.EMPL.MA.ZS","SL.SRV.EMPL.MA.ZS","SL.SRV.EMPL.ZS","SL.IND.EMPL.MA.ZS","SL.SRV.EMPL.FE.ZS","SL.SRV.EMPL.ZS","SL.SRV.EMPL.FE.ZS","SL.SRV.0714.FE.ZS","SL.SRV.0714.MA.ZS"]],"^1N",["^ ","^2","atom","^3","Employment in services, male"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The services sector consists of wholesale and retail trade and restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social, and personal services, in accordance with divisions 6-9 (ISIC 2) or categories G-Q (ISIC 3) or categories G-U (ISIC 4)."],"^1V",["^ ","^2","atom","^3","International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed February 07, 2024. https://ilostat.ilo.org/data/."],"^1[",["^ ","^2","atom","^3","https://ilostat.ilo.org/data/"],"^20",["^ ","^2","atom","^3",[["^ ","id","10","^3","Social Protection & Labor"],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SL.TLF.0714.FE.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.6"],"^1H",["^ ","^2","atom","^3",1],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","In most countries more boys are involved in employment, or the gender difference is small. However, girls are often more present in hidden or underreported forms of employment such as domestic service, and in almost all societies girls bear greater responsibility for household chores in their own homes, work that lies outside the System of National Accounts production boundary and is thus not considered in estimates of children's employment.","^1K","Data are from household surveys by the International Labor Organization (ILO), the United Nations Children's Fund (UNICEF), the World Bank, and national statistical offices. The surveys yield data on education, employment, health, expenditure, and consumption indicators related to children's work. Since children's work is captured in the sense of \"economic activity,\" the data refer to children in employment, a broader concept than child labor (see ILO 2009a for details on this distinction).\n\nHousehold survey data generally include information on work type - for example, whether a child is working for payment in cash or in kind or is involved in unpaid work, working for someone who is not a member of the household, or involved in any type of family work (on the farm or in a business).\n\nIn line with the definition of economic activity adopted by the 13th International Conference of Labour Statisticians, the threshold set by the 1993 UN System of National Accounts for classifying a person as employed is to have been engaged at least one hour in any activity relating to the production of goods and services during the reference period. Children seeking work are thus excluded. Economic activity covers all market production and certain nonmarket production, including production of goods for own use. It excludes unpaid household services (commonly called \"household chores\") - that is, the production of domestic and personal services by household members for a household's own consumption.\n\nCountry surveys define the ages for child labor as 5-17. The data here have been recalculated to present statistics for children ages 7-14.","^1M","Annual","^1T","Social Protection & Labor: Economic activity","^1P","Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.","^1Q","Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey.","^1E","CC BY-4.0","^1S","Although efforts are made to harmonize the definition of employment and the questions on employment in survey questionnaires, significant differences remain in the survey instruments that collect data on children in employment and in the sampling design underlying the surveys. Differences exist not only across different household surveys in the same country but also across the same type of survey carried out in different countries, so estimates of working children are not fully comparable across countries. For detailed source information, see footnotes at each data point.","^1U","Children in employment, female (% of female children ages 7-14)","^1V","Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.","^1N","Children in employment, female","^1X","Children in employment, female (% of female children ages 7-14)"]],"^1U",["^ ","^2","atom","^3","Children in employment, female (% of female children ages 7-14)"],"id",["^ ","^2","atom","^3","SL.TLF.0714.FE.ZS"],"^1Y",["^ ","^2","atom","^3",[2016,["CR","JO"]]],"^1Z",["^ ","^2","atom","^3",["SL.TLF.0714.SW.TM","SL.TLF.0714.ZS","SL.TLF.0714.SW.MA.TM","SL.TLF.0714.SW.MA.ZS","SL.TLF.0714.WK.FE.ZS","SL.TLF.0714.SW.ZS","SL.TLF.0714.WK.MA.ZS","SL.TLF.0714.WK.MA.TM","SL.TLF.0714.WK.TM"]],"^1N",["^ ","^2","atom","^3","Children in employment, female"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey."],"^1V",["^ ","^2","atom","^3","Understanding Children's Work project based on data from ILO, UNICEF and the World Bank."],"^1[",["^ ","^2","atom"],"^20",["^ ","^2","atom","^3",[["^ ","id","10","^3","Social Protection & Labor"],["^ ","id","17","^3","Gender"],["^ ","id","15","^3","Social Development "]]],"^J",["^ ","^2","atom","^3","percent"]],"SL.TLF.0714.MA.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.6"],"^1H",["^ ","^2","atom","^3",1],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","In most countries more boys are involved in employment, or the gender difference is small. However, girls are often more present in hidden or underreported forms of employment such as domestic service, and in almost all societies girls bear greater responsibility for household chores in their own homes, work that lies outside the System of National Accounts production boundary and is thus not considered in estimates of children's employment.","^1K","Data are from household surveys by the International Labor Organization (ILO), the United Nations Children's Fund (UNICEF), the World Bank, and national statistical offices. The surveys yield data on education, employment, health, expenditure, and consumption indicators related to children's work. Since children's work is captured in the sense of \"economic activity,\" the data refer to children in employment, a broader concept than child labor (see ILO 2009a for details on this distinction).\n\nHousehold survey data generally include information on work type - for example, whether a child is working for payment in cash or in kind or is involved in unpaid work, working for someone who is not a member of the household, or involved in any type of family work (on the farm or in a business).\n\nIn line with the definition of economic activity adopted by the 13th International Conference of Labour Statisticians, the threshold set by the 1993 UN System of National Accounts for classifying a person as employed is to have been engaged at least one hour in any activity relating to the production of goods and services during the reference period. Children seeking work are thus excluded. Economic activity covers all market production and certain nonmarket production, including production of goods for own use. It excludes unpaid household services (commonly called \"household chores\") - that is, the production of domestic and personal services by household members for a household's own consumption.\n\nCountry surveys define the ages for child labor as 5-17. The data here have been recalculated to present statistics for children ages 7-14.","^1M","Annual","^1T","Social Protection & Labor: Economic activity","^1P","Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.","^1Q","Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey.","^1E","CC BY-4.0","^1S","Although efforts are made to harmonize the definition of employment and the questions on employment in survey questionnaires, significant differences remain in the survey instruments that collect data on children in employment and in the sampling design underlying the surveys. Differences exist not only across different household surveys in the same country but also across the same type of survey carried out in different countries, so estimates of working children are not fully comparable across countries. For detailed source information, see footnotes at each data point.","^1U","Children in employment, male (% of male children ages 7-14)","^1V","Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.","^1N","Children in employment, male","^1X","Children in employment, male (% of male children ages 7-14)"]],"^1U",["^ ","^2","atom","^3","Children in employment, male (% of male children ages 7-14)"],"id",["^ ","^2","atom","^3","SL.TLF.0714.MA.ZS"],"^1Y",["^ ","^2","atom","^3",[2016,["CR","JO"]]],"^1Z",["^ ","^2","atom","^3",["SL.TLF.0714.SW.TM","SL.TLF.0714.ZS","SL.TLF.0714.SW.MA.TM","SL.TLF.0714.SW.MA.ZS","SL.TLF.0714.WK.FE.ZS","SL.TLF.0714.SW.ZS","SL.TLF.0714.WK.MA.ZS","SL.TLF.0714.WK.MA.TM","SL.TLF.0714.WK.TM"]],"^1N",["^ ","^2","atom","^3","Children in employment, male"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey."],"^1V",["^ ","^2","atom","^3","Understanding Children's Work project based on data from ILO, UNICEF and the World Bank."],"^1[",["^ ","^2","atom"],"^20",["^ ","^2","atom","^3",[["^ ","id","10","^3","Social Protection & Labor"],["^ ","id","17","^3","Gender"],["^ ","id","15","^3","Social Development "]]],"^J",["^ ","^2","atom","^3","percent"]],"SL.TLF.CACT.FE.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.2"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1J","National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.","^1K","The labor force is the supply of labor available for producing goods and services in an economy. It includes people who are currently employed and people who are unemployed but seeking work as well as first-time job-seekers. Not everyone who works is included, however. Unpaid workers, family workers, and students are often omitted, and some countries do not count members of the armed forces. Labor force size tends to vary during the year as seasonal workers enter and leave. \n\nThe series is part of the \"ILO modeled estimates database,\" including nationally reported observations and imputed data for countries with missing data, primarily to capture regional and global trends with consistent country coverage. Country-reported microdata is based mainly on nationally representative labor force surveys, with other sources (e.g., household surveys and population censuses) considering differences in the data source, the scope of coverage, methodology, and other country-specific factors. Country analysis requires caution where limited nationally reported data are available. A series of models are also applied to impute missing observations and make projections. However, imputed observations are not based on national data, are subject to high uncertainty, and should not be used for country comparisons or rankings. For more information: https://ilostat.ilo.org/resources/concepts-and-definitions/ilo-modelled-estimates/","^1L","Weighted average","^1M","Annual","^1N","Labor force participation rate, female","^1O","Estimates of women in the labor force and employment are generally lower than those of men and are not comparable internationally, reflecting that demographic, social, legal, and cultural trends and norms determine whether women's activities are regarded as economic. In many low-income countries women often work on farms or in other family enterprises without pay, and others work in or near their homes, mixing work and family activities during the day. In many high-income economies, women have been increasingly acquiring higher education that has led to better-compensated, longer-term careers rather than lower-skilled, shorter-term jobs. However, access to good- paying occupations for women remains unequal in many occupations and countries around the world. Labor force statistics by gender is important to monitor gender disparities in employment and unemployment patterns.","^1P","International Labour Organization. “ILO Modelled Estimates and Projections database (ILOEST)” ILOSTAT. Accessed February 06, 2024. https://ilostat.ilo.org/data/.","^1Q","Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.","^1S","Data on the labor force are compiled by the ILO from labor force surveys, censuses, and establishment censuses and surveys. For some countries a combination of these sources is used. Labor force surveys are the most comprehensive source for internationally comparable labor force data. They can cover all non-institutionalized civilians, all branches and sectors of the economy, and all categories of workers, including people holding multiple jobs. By contrast, labor force data from population censuses are often based on a limited number of questions on the economic characteristics of individuals, with little scope to probe. The resulting data often differ from labor force survey data and vary considerably by country, depending on the census scope and coverage. Establishment censuses and surveys provide data only on the employed population, not unemployed workers, workers in small establishments, or workers in the informal sector.\n\nThe reference period of a census or survey is another important source of differences: in some countries data refer to people's status on the day of the census or survey or during a specific period before the inquiry date, while in others data are recorded without reference to any period. In countries, where the household is the basic unit of production and all members contribute to output, but some at low intensity or irregularly, the estimated labor force may be much smaller than the numbers actually working.\n\nDiffering definitions of employment age also affect comparability. For most countries the working age is 15 and older, but in some countries children younger than 15 work full- or part-time and are included in the estimates. Similarly, some countries have an upper age limit. As a result, calculations may systematically over- or underestimate actual rates.","^1E","CC BY-4.0","^1T","Social Protection & Labor: Labor force structure","^1U","Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)","^1V","International Labour Organization. “ILO Modelled Estimates and Projections database (ILOEST)” ILOSTAT. Accessed February 06, 2024. https://ilostat.ilo.org/data/.","^1W","Given the exceptional situation, including the scarcity of relevant data, the ILO modeled estimates and projections from 2020 onwards are subject to substantial uncertainty.","^1X","Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)"]],"^1U",["^ ","^2","atom","^3","Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)"],"id",["^ ","^2","atom","^3","SL.TLF.CACT.FE.ZS"],"^1Y",["^ ","^2","atom","^3",[2023,["CI","NO","MW","MO","MZ","SN","BD","KZ","MU","VU","ZM","AZ","UG","ME","PR","KW","LA","KH","CD","LK","PE","AU","IE","DJ","FI","NA","NG","BZ","JG","WS","MX","TH","DK","PA","CA","T2","CO","MD","GQ","BA","VE","SY","IS","CM","GY","NL","T5","UY","US","AM","GB","JP","KP","BE","JM","SB","IR","IL","MN","HT","SO","ST","MA","CR","NZ","MT","CG","DE","GA","TT","YE","LY","BW","TJ","ES","TL","TZ","XG","GW","HR","PH","SL","GM","SZ","CN","ID","VN","AO","BT","RS","NI","BB","VI","TG","RO","CH","GE","BG","MV","SI","DO","GH","ZW","GN","ET","AR","TM","BH","GR","LS","SE","LB","CL","SV","T3","PF","MG","BO","IQ","IT","LC","UZ","EG","KR","AT","LV","KM","RU","T6","T7","TO","MR","MM","SA","BJ","LT","CV","QA","TD","PT","SS","PG","RW","KE","FJ","OM","CU","GT","BS","NC","EE","GU","LR","MK","T4","JO","AE","ZA","BF","SK","CY","NE","LU","SR","BY","CF","BI","PY","SG","TN","PL","ER","HK","BR","AL","PK","SD","BN","HN","FR","VC","NP","TR","DZ","EC","CZ","MY","ZT","HU","KG","IN","ML","AF"]]],"^1Z",["^ ","^2","atom","^3",["SL.TLF.CACT.FE.NE.ZS","SL.TLF.CACT.NE.ZS","SL.TLF.CACT.ZS","SL.TLF.CACT.MA.NE.ZS","SL.TLF.CACT.FM.ZS","SL.TLF.CACT.FM.NE.ZS","SL.TLF.CACT.MA.ZS","SL.TLF.0714.SW.TM","SL.TLF.ACTI.FE.ZS"]],"^1N",["^ ","^2","atom","^3","Labor force participation rate, female"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period."],"^1V",["^ ","^2","atom","^3","International Labour Organization. “ILO Modelled Estimates and Projections database (ILOEST)” ILOSTAT. Accessed February 06, 2024. https://ilostat.ilo.org/data/."],"^1[",["^ ","^2","atom","^3","https://ilostat.ilo.org/data/"],"^20",["^ ","^2","atom","^3",[["^ ","id","10","^3","Social Protection & Labor"],["^ ","id","17","^3","Gender"],["^ ","id","15","^3","Social Development "]]],"^J",["^ ","^2","atom","^3","percent"]],"SL.TLF.CACT.MA.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.2"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1J","National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.","^1K","The labor force is the supply of labor available for producing goods and services in an economy. It includes people who are currently employed and people who are unemployed but seeking work as well as first-time job-seekers. Not everyone who works is included, however. Unpaid workers, family workers, and students are often omitted, and some countries do not count members of the armed forces. Labor force size tends to vary during the year as seasonal workers enter and leave. \n\nThe series is part of the \"ILO modeled estimates database,\" including nationally reported observations and imputed data for countries with missing data, primarily to capture regional and global trends with consistent country coverage. Country-reported microdata is based mainly on nationally representative labor force surveys, with other sources (e.g., household surveys and population censuses) considering differences in the data source, the scope of coverage, methodology, and other country-specific factors. Country analysis requires caution where limited nationally reported data are available. A series of models are also applied to impute missing observations and make projections. However, imputed observations are not based on national data, are subject to high uncertainty, and should not be used for country comparisons or rankings. For more information: https://ilostat.ilo.org/resources/concepts-and-definitions/ilo-modelled-estimates/","^1L","Weighted average","^1M","Annual","^1N","Labor force participation rate, male","^1O","Estimates of women in the labor force and employment are generally lower than those of men and are not comparable internationally, reflecting that demographic, social, legal, and cultural trends and norms determine whether women's activities are regarded as economic. In many low-income countries women often work on farms or in other family enterprises without pay, and others work in or near their homes, mixing work and family activities during the day. In many high-income economies, women have been increasingly acquiring higher education that has led to better-compensated, longer-term careers rather than lower-skilled, shorter-term jobs. However, access to good- paying occupations for women remains unequal in many occupations and countries around the world. Labor force statistics by gender is important to monitor gender disparities in employment and unemployment patterns.","^1P","International Labour Organization. “ILO Modelled Estimates and Projections database (ILOEST)” ILOSTAT. Accessed February 06, 2024. https://ilostat.ilo.org/data/.","^1Q","Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.","^1S","Data on the labor force are compiled by the ILO from labor force surveys, censuses, and establishment censuses and surveys. For some countries a combination of these sources is used. Labor force surveys are the most comprehensive source for internationally comparable labor force data. They can cover all non-institutionalized civilians, all branches and sectors of the economy, and all categories of workers, including people holding multiple jobs. By contrast, labor force data from population censuses are often based on a limited number of questions on the economic characteristics of individuals, with little scope to probe. The resulting data often differ from labor force survey data and vary considerably by country, depending on the census scope and coverage. Establishment censuses and surveys provide data only on the employed population, not unemployed workers, workers in small establishments, or workers in the informal sector.\n\nThe reference period of a census or survey is another important source of differences: in some countries data refer to people's status on the day of the census or survey or during a specific period before the inquiry date, while in others data are recorded without reference to any period. In countries, where the household is the basic unit of production and all members contribute to output, but some at low intensity or irregularly, the estimated labor force may be much smaller than the numbers actually working.\n\nDiffering definitions of employment age also affect comparability. For most countries the working age is 15 and older, but in some countries children younger than 15 work full- or part-time and are included in the estimates. Similarly, some countries have an upper age limit. As a result, calculations may systematically over- or underestimate actual rates.","^1E","CC BY-4.0","^1T","Social Protection & Labor: Labor force structure","^1U","Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)","^1V","International Labour Organization. “ILO Modelled Estimates and Projections database (ILOEST)” ILOSTAT. Accessed February 06, 2024. https://ilostat.ilo.org/data/.","^1W","Given the exceptional situation, including the scarcity of relevant data, the ILO modeled estimates and projections from 2020 onwards are subject to substantial uncertainty.","^1X","Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)"]],"^1U",["^ ","^2","atom","^3","Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)"],"id",["^ ","^2","atom","^3","SL.TLF.CACT.MA.ZS"],"^1Y",["^ ","^2","atom","^3",[2023,["CI","NO","MW","MO","MZ","SN","BD","KZ","MU","VU","ZM","AZ","UG","ME","PR","KW","LA","KH","CD","LK","PE","AU","IE","DJ","FI","NA","NG","BZ","JG","WS","MX","TH","DK","PA","CA","T2","CO","MD","GQ","BA","VE","SY","IS","CM","GY","NL","T5","UY","US","AM","GB","JP","KP","BE","JM","SB","IR","IL","MN","HT","SO","ST","MA","CR","NZ","MT","CG","DE","GA","TT","YE","LY","BW","TJ","ES","TL","TZ","XG","GW","HR","PH","SL","GM","SZ","CN","ID","VN","AO","BT","RS","NI","BB","VI","TG","RO","CH","GE","BG","MV","SI","DO","GH","ZW","GN","ET","AR","TM","BH","GR","LS","SE","LB","CL","SV","T3","PF","MG","BO","IQ","IT","LC","UZ","EG","KR","AT","LV","KM","RU","T6","T7","TO","MR","MM","SA","BJ","LT","CV","QA","TD","PT","SS","PG","RW","KE","FJ","OM","CU","GT","BS","NC","EE","GU","LR","MK","T4","JO","AE","ZA","BF","SK","CY","NE","LU","SR","BY","CF","BI","PY","SG","TN","PL","ER","HK","BR","AL","PK","SD","BN","HN","FR","VC","NP","TR","DZ","EC","CZ","MY","ZT","HU","KG","IN","ML","AF"]]],"^1Z",["^ ","^2","atom","^3",["SL.TLF.CACT.MA.NE.ZS","SL.TLF.CACT.NE.ZS","SL.TLF.CACT.ZS","SL.TLF.CACT.FE.ZS","SL.TLF.CACT.FM.ZS","SL.TLF.CACT.FE.NE.ZS","SL.TLF.CACT.FM.NE.ZS","SL.TLF.0714.SW.TM","SL.TLF.ACTI.FE.ZS"]],"^1N",["^ ","^2","atom","^3","Labor force participation rate, male"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period."],"^1V",["^ ","^2","atom","^3","International Labour Organization. “ILO Modelled Estimates and Projections database (ILOEST)” ILOSTAT. Accessed February 06, 2024. https://ilostat.ilo.org/data/."],"^1[",["^ ","^2","atom","^3","https://ilostat.ilo.org/data/"],"^20",["^ ","^2","atom","^3",[["^ ","id","10","^3","Social Protection & Labor"],["^ ","id","17","^3","Gender"],["^ ","id","15","^3","Social Development "]]],"^J",["^ ","^2","atom","^3","percent"]],"SL.TLF.TOTL.FE.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.2"],"^1H",["^ ","^2","atom","^3",1],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1K","The standard definition of unemployed persons is those individuals without work, seeking work in a recent past period, and currently available for work, including people who have lost their jobs or voluntarily left work. In addition, persons who did not look for work but have an arrangement for a future job are also counted as unemployed. Still, some unemployment is unavoidable—at any time, some workers are temporarily unemployed between jobs as employers look for the right workers and workers search for better jobs. The labor force or the economically active portion of the population serves as the base for this indicator, not the total population.\n\nEstimates are based on labor force participation rates and population data from International Labour Organization and United Nations Population Division. The labor force participation rates are part of the \"ILO modeled estimates database,\" including nationally reported observations and imputed data for countries with missing data, primarily to capture regional and global trends with consistent country coverage. Country-reported microdata is based mainly on nationally representative labor force surveys, with other sources (e.g., household surveys and population censuses) considering differences in the data source, the scope of coverage, methodology, and other country-specific factors. Country analysis requires caution where limited nationally reported data are available. A series of models are also applied to impute missing observations and make projections. However, imputed observations are not based on national data, are subject to high uncertainty, and should not be used for country comparisons or rankings. For more information: https://ilostat.ilo.org/resources/concepts-and-definitions/ilo-modelled-estimates/","^1L","Weighted average","^1M","Annual","^1U","Labor force, female (% of total labor force)","^1T","Social Protection & Labor: Labor force structure","^1P","World Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization and United Nations Population Division.","^1Q","Female labor force as a percentage of the total show the extent to which women are active in the labor force. Labor force comprises people ages 15 and older who supply labor for the production of goods and services during a specified period.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Female labor force as a percentage of the total show the extent to which women are active in the labor force. Labor force comprises people ages 15 and older who supply labor for the production of goods and services during a specified period.","^1E","CC BY-4.0","^1N","Labor force, female","^1V","World Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization and United Nations Population Division.","^1W","Given the exceptional situation, including the scarcity of relevant data, the ILO modeled estimates and projections from 2020 onwards are subject to substantial uncertainty.","^1X","Labor force, female (% of total labor force)"]],"^1U",["^ ","^2","atom","^3","Labor force, female (% of total labor force)"],"id",["^ ","^2","atom","^3","SL.TLF.TOTL.FE.ZS"],"^1Y",["^ ","^2","atom","^3",[2023,["CI","NO","MW","MO","MZ","SN","BD","KZ","MU","VU","ZM","AZ","UG","ME","PR","KW","LA","KH","CD","LK","PE","AU","IE","DJ","FI","NA","NG","BZ","JG","WS","MX","TH","DK","PA","CA","T2","CO","MD","GQ","BA","VE","SY","IS","CM","GY","NL","T5","UY","US","AM","GB","JP","KP","BE","JM","SB","IR","IL","MN","HT","SO","ST","MA","CR","NZ","MT","CG","DE","GA","TT","YE","LY","BW","TJ","ES","TL","TZ","XG","GW","HR","PH","SL","GM","SZ","CN","ID","VN","AO","BT","RS","NI","BB","VI","TG","RO","CH","GE","BG","MV","SI","DO","GH","ZW","GN","ET","AR","TM","BH","GR","LS","SE","LB","CL","SV","T3","PF","MG","BO","IQ","IT","LC","UZ","EG","KR","AT","LV","KM","RU","T6","T7","TO","MR","MM","SA","BJ","LT","CV","QA","TD","PT","SS","PG","RW","KE","FJ","OM","CU","GT","BS","NC","EE","GU","LR","MK","T4","JO","AE","ZA","BF","SK","CY","NE","LU","SR","BY","CF","BI","PY","SG","TN","PL","ER","HK","BR","AL","PK","SD","BN","HN","FR","VC","NP","TR","DZ","EC","CZ","MY","ZT","HU","KG","IN","ML","AF"]]],"^1Z",["^ ","^2","atom","^3",["SL.TLF.TOTL.IN","SL.TLF.0714.SW.TM","SL.TLF.CACT.NE.ZS","SL.TLF.ACTI.FE.ZS","SL.TLF.ADVN.MA.ZS","SL.TLF.ACTI.1524.NE.ZS","SL.TLF.ADVN.ZS","SL.TLF.0714.ZS","SL.TLF.0714.SW.MA.TM"]],"^1N",["^ ","^2","atom","^3","Labor force, female"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Female labor force as a percentage of the total show the extent to which women are active in the labor force. Labor force comprises people ages 15 and older who supply labor for the production of goods and services during a specified period."],"^1V",["^ ","^2","atom","^3","World Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization and United Nations Population Division."],"^1[",["^ ","^2","atom"],"^20",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "],["^ ","id","10","^3","Social Protection & Labor"],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SL.UEM.1524.FE.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.5"],"^1H",["^ ","^2","atom","^3",1],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1J","National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.","^1K","The standard definition of unemployed persons is those individuals without work, seeking work in a recent past period, and currently available for work, including people who have lost their jobs or voluntarily left work. In addition, persons who did not look for work but have an arrangement for a future job are also counted as unemployed. Still, some unemployment is unavoidable—at any time, some workers are temporarily unemployed between jobs as employers look for the right workers and workers search for better jobs. The labor force or the economically active portion of the population serves as the base for this indicator, not the total population.\n\nThe series is part of the \"ILO modeled estimates database,\" including nationally reported observations and imputed data for countries with missing data, primarily to capture regional and global trends with consistent country coverage. Country-reported microdata is based mainly on nationally representative labor force surveys, with other sources (e.g., household surveys and population censuses) considering differences in the data source, the scope of coverage, methodology, and other country-specific factors. Country analysis requires caution where limited nationally reported data are available. A series of models are also applied to impute missing observations and make projections. However, imputed observations are not based on national data, are subject to high uncertainty, and should not be used for country comparisons or rankings. For more information: https://ilostat.ilo.org/resources/concepts-and-definitions/ilo-modelled-estimates/","^1L","Weighted average","^1M","Annual","^1N","Unemployment, youth female","^1O","Paradoxically, low unemployment rates can disguise substantial poverty in a country, while high unemployment rates can occur in countries with a high level of economic development and low rates of poverty. In countries without unemployment or welfare benefits people eke out a living in vulnerable employment. In countries with well-developed safety nets workers can afford to wait for suitable or desirable jobs. But high and sustained unemployment indicates serious inefficiencies in resource allocation.\n\nYouth unemployment is an important policy issue for many economies. Young men and women today face increasing uncertainty in their hopes of undergoing a satisfactory transition in the labour market, and this uncertainty and disillusionment can, in turn, have damaging effects on individuals, communities, economies and society at large. Unemployed or underemployed youth are less able to contribute effectively to national development and have fewer opportunities to exercise their rights as citizens. They have less to spend as consumers, less to invest as savers and often have no \"voice\" to bring about change in their lives and communities. Widespread youth unemployment and underemployment also prevents companies and countries from innovating and developing competitive advantages based on human capital investment, thus undermining future prospects.\n\nUnemployment is a key measure to monitor whether a country is on track to achieve the Sustainable Development Goal of promoting sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all. [SDG Indicator 8.5.2]","^1P","International Labour Organization. “ILO Modelled Estimates and Projections database (ILOEST)” ILOSTAT. Accessed June 18, 2024. https://ilostat.ilo.org/data/.","^1Q","Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.","^1S","The criteria for people considered to be seeking work, and the treatment of people temporarily laid off or seeking work for the first time, vary across countries. In many cases it is especially difficult to measure employment and unemployment in agriculture. The timing of a survey can maximize the effects of seasonal unemployment in agriculture. And informal sector employment is difficult to quantify where informal activities are not tracked.\n\nThere may be also persons not currently in the labour market who want to work but do not actively \"seek\" work because they view job opportunities as limited, or because they have restricted labour mobility, or face discrimination, or structural, social or cultural barriers. The exclusion of people who want to work but are not seeking work (often called the \"hidden unemployed\" or \"discouraged workers\") is a criterion that will affect the unemployment count of both women and men. \n\nHowever, women tend to be excluded from the count for various reasons. Women suffer more from discrimination and from structural, social, and cultural barriers that impede them from seeking work. Also, women are often responsible for the care of children and the elderly and for household affairs. They may not be available for work during the short reference period, as they need to make arrangements before starting work. Further, women are considered to be employed when they are working part-time or in temporary jobs, despite the instability of these jobs or their active search for more secure employment.","^1E","CC BY-4.0","^1T","Social Protection & Labor: Unemployment","^1U","Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)","^1V","International Labour Organization. “ILO Modelled Estimates and Projections database (ILOEST)” ILOSTAT. Accessed June 18, 2024. https://ilostat.ilo.org/data/.","^1W","Given the exceptional situation, including the scarcity of relevant data, the ILO modeled estimates and projections from 2020 onwards are subject to substantial uncertainty.","^1X","Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)"]],"^1U",["^ ","^2","atom","^3","Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)"],"id",["^ ","^2","atom","^3","SL.UEM.1524.FE.ZS"],"^1Y",["^ ","^2","atom","^3",[2023,["CI","NO","MW","MO","MZ","SN","BD","KZ","MU","VU","ZM","AZ","UG","ME","PR","KW","LA","KH","CD","LK","PE","AU","IE","DJ","FI","NA","NG","BZ","JG","WS","MX","TH","DK","PA","CA","T2","CO","MD","GQ","BA","VE","SY","IS","CM","GY","NL","T5","UY","US","AM","GB","JP","KP","BE","JM","SB","IR","IL","MN","HT","SO","ST","MA","CR","NZ","MT","CG","DE","GA","TT","YE","LY","BW","TJ","ES","TL","TZ","XG","GW","HR","PH","SL","GM","SZ","CN","ID","VN","AO","BT","RS","NI","BB","VI","TG","RO","CH","GE","BG","MV","SI","DO","GH","ZW","GN","ET","AR","TM","BH","GR","LS","SE","LB","CL","SV","T3","PF","MG","BO","IQ","IT","LC","UZ","EG","KR","AT","LV","KM","RU","T6","T7","TO","MR","MM","SA","BJ","LT","CV","QA","TD","PT","SS","PG","RW","KE","FJ","OM","CU","GT","BS","NC","EE","GU","LR","MK","T4","JO","AE","ZA","BF","SK","CY","NE","LU","SR","BY","CF","BI","PY","SG","TN","PL","ER","HK","BR","AL","PK","SD","BN","HN","FR","VC","NP","TR","DZ","EC","CZ","MY","ZT","HU","KG","IN","ML","AF"]]],"^1Z",["^ ","^2","atom","^3",["SL.UEM.1524.FE.NE.ZS","SL.UEM.1524.ZS","SL.UEM.1524.NE.ZS","SL.UEM.1524.MA.NE.ZS","SL.UEM.1524.MA.ZS","SL.UEM.TOTL.FE.ZS","SL.UEM.ADVN.ZS","SL.UEM.BASC.FE.ZS","SL.UEM.NEET.FE.ZS"]],"^1N",["^ ","^2","atom","^3","Unemployment, youth female"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment."],"^1V",["^ ","^2","atom","^3","International Labour Organization. “ILO Modelled Estimates and Projections database (ILOEST)” ILOSTAT. Accessed June 18, 2024. https://ilostat.ilo.org/data/."],"^1[",["^ ","^2","atom","^3","https://ilostat.ilo.org/data/"],"^20",["^ ","^2","atom","^3",[["^ ","id","10","^3","Social Protection & Labor"],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SL.UEM.1524.MA.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.5"],"^1H",["^ ","^2","atom","^3",1],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1J","National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.","^1K","The standard definition of unemployed persons is those individuals without work, seeking work in a recent past period, and currently available for work, including people who have lost their jobs or voluntarily left work. In addition, persons who did not look for work but have an arrangement for a future job are also counted as unemployed. Still, some unemployment is unavoidable—at any time, some workers are temporarily unemployed between jobs as employers look for the right workers and workers search for better jobs. The labor force or the economically active portion of the population serves as the base for this indicator, not the total population.\n\nThe series is part of the \"ILO modeled estimates database,\" including nationally reported observations and imputed data for countries with missing data, primarily to capture regional and global trends with consistent country coverage. Country-reported microdata is based mainly on nationally representative labor force surveys, with other sources (e.g., household surveys and population censuses) considering differences in the data source, the scope of coverage, methodology, and other country-specific factors. Country analysis requires caution where limited nationally reported data are available. A series of models are also applied to impute missing observations and make projections. However, imputed observations are not based on national data, are subject to high uncertainty, and should not be used for country comparisons or rankings. For more information: https://ilostat.ilo.org/resources/concepts-and-definitions/ilo-modelled-estimates/","^1L","Weighted average","^1M","Annual","^1N","Unemployment, youth male","^1O","Paradoxically, low unemployment rates can disguise substantial poverty in a country, while high unemployment rates can occur in countries with a high level of economic development and low rates of poverty. In countries without unemployment or welfare benefits people eke out a living in vulnerable employment. In countries with well-developed safety nets workers can afford to wait for suitable or desirable jobs. But high and sustained unemployment indicates serious inefficiencies in resource allocation.\n\nYouth unemployment is an important policy issue for many economies. Young men and women today face increasing uncertainty in their hopes of undergoing a satisfactory transition in the labour market, and this uncertainty and disillusionment can, in turn, have damaging effects on individuals, communities, economies and society at large. Unemployed or underemployed youth are less able to contribute effectively to national development and have fewer opportunities to exercise their rights as citizens. They have less to spend as consumers, less to invest as savers and often have no \"voice\" to bring about change in their lives and communities. Widespread youth unemployment and underemployment also prevents companies and countries from innovating and developing competitive advantages based on human capital investment, thus undermining future prospects.\n\nUnemployment is a key measure to monitor whether a country is on track to achieve the Sustainable Development Goal of promoting sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all. [SDG Indicator 8.5.2]","^1P","International Labour Organization. “ILO Modelled Estimates and Projections database (ILOEST)” ILOSTAT. Accessed June 18, 2024. https://ilostat.ilo.org/data/.","^1Q","Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.","^1S","The criteria for people considered to be seeking work, and the treatment of people temporarily laid off or seeking work for the first time, vary across countries. In many cases it is especially difficult to measure employment and unemployment in agriculture. The timing of a survey can maximize the effects of seasonal unemployment in agriculture. And informal sector employment is difficult to quantify where informal activities are not tracked.\n\nThere may be also persons not currently in the labour market who want to work but do not actively \"seek\" work because they view job opportunities as limited, or because they have restricted labour mobility, or face discrimination, or structural, social or cultural barriers. The exclusion of people who want to work but are not seeking work (often called the \"hidden unemployed\" or \"discouraged workers\") is a criterion that will affect the unemployment count of both women and men. \n\nHowever, women tend to be excluded from the count for various reasons. Women suffer more from discrimination and from structural, social, and cultural barriers that impede them from seeking work. Also, women are often responsible for the care of children and the elderly and for household affairs. They may not be available for work during the short reference period, as they need to make arrangements before starting work. Further, women are considered to be employed when they are working part-time or in temporary jobs, despite the instability of these jobs or their active search for more secure employment.","^1E","CC BY-4.0","^1T","Social Protection & Labor: Unemployment","^1U","Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)","^1V","International Labour Organization. “ILO Modelled Estimates and Projections database (ILOEST)” ILOSTAT. Accessed June 18, 2024. https://ilostat.ilo.org/data/.","^1W","Given the exceptional situation, including the scarcity of relevant data, the ILO modeled estimates and projections from 2020 onwards are subject to substantial uncertainty.","^1X","Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)"]],"^1U",["^ ","^2","atom","^3","Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)"],"id",["^ ","^2","atom","^3","SL.UEM.1524.MA.ZS"],"^1Y",["^ ","^2","atom","^3",[2023,["CI","NO","MW","MO","MZ","SN","BD","KZ","MU","VU","ZM","AZ","UG","ME","PR","KW","LA","KH","CD","LK","PE","AU","IE","DJ","FI","NA","NG","BZ","JG","WS","MX","TH","DK","PA","CA","T2","CO","MD","GQ","BA","VE","SY","IS","CM","GY","NL","T5","UY","US","AM","GB","JP","KP","BE","JM","SB","IR","IL","MN","HT","SO","ST","MA","CR","NZ","MT","CG","DE","GA","TT","YE","LY","BW","TJ","ES","TL","TZ","XG","GW","HR","PH","SL","GM","SZ","CN","ID","VN","AO","BT","RS","NI","BB","VI","TG","RO","CH","GE","BG","MV","SI","DO","GH","ZW","GN","ET","AR","TM","BH","GR","LS","SE","LB","CL","SV","T3","PF","MG","BO","IQ","IT","LC","UZ","EG","KR","AT","LV","KM","RU","T6","T7","TO","MR","MM","SA","BJ","LT","CV","QA","TD","PT","SS","PG","RW","KE","FJ","OM","CU","GT","BS","NC","EE","GU","LR","MK","T4","JO","AE","ZA","BF","SK","CY","NE","LU","SR","BY","CF","BI","PY","SG","TN","PL","ER","HK","BR","AL","PK","SD","BN","HN","FR","VC","NP","TR","DZ","EC","CZ","MY","ZT","HU","KG","IN","ML","AF"]]],"^1Z",["^ ","^2","atom","^3",["SL.UEM.1524.MA.NE.ZS","SL.UEM.1524.ZS","SL.UEM.1524.NE.ZS","SL.UEM.1524.FE.NE.ZS","SL.UEM.1524.FE.ZS","SL.UEM.TOTL.FE.ZS","SL.UEM.ADVN.ZS","SL.UEM.BASC.FE.ZS","SL.UEM.NEET.FE.ZS"]],"^1N",["^ ","^2","atom","^3","Unemployment, youth male"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment."],"^1V",["^ ","^2","atom","^3","International Labour Organization. “ILO Modelled Estimates and Projections database (ILOEST)” ILOSTAT. Accessed June 18, 2024. https://ilostat.ilo.org/data/."],"^1[",["^ ","^2","atom","^3","https://ilostat.ilo.org/data/"],"^20",["^ ","^2","atom","^3",[["^ ","id","10","^3","Social Protection & Labor"],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SL.UEM.TOTL.FE.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.5"],"^1H",["^ ","^2","atom","^3",1],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1J","National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.","^1K","The standard definition of unemployed persons is those individuals without work, seeking work in a recent past period, and currently available for work, including people who have lost their jobs or voluntarily left work. In addition, persons who did not look for work but have an arrangement for a future job are also counted as unemployed. Still, some unemployment is unavoidable—at any time, some workers are temporarily unemployed between jobs as employers look for the right workers and workers search for better jobs. The labor force or the economically active portion of the population serves as the base for this indicator, not the total population.\n\nThe series is part of the \"ILO modeled estimates database,\" including nationally reported observations and imputed data for countries with missing data, primarily to capture regional and global trends with consistent country coverage. Country-reported microdata is based mainly on nationally representative labor force surveys, with other sources (e.g., household surveys and population censuses) considering differences in the data source, the scope of coverage, methodology, and other country-specific factors. Country analysis requires caution where limited nationally reported data are available. A series of models are also applied to impute missing observations and make projections. However, imputed observations are not based on national data, are subject to high uncertainty, and should not be used for country comparisons or rankings. For more information: https://ilostat.ilo.org/resources/concepts-and-definitions/ilo-modelled-estimates/","^1L","Weighted average","^1M","Annual","^1N","Unemployment, female","^1O","Paradoxically, low unemployment rates can disguise substantial poverty in a country, while high unemployment rates can occur in countries with a high level of economic development and low rates of poverty. In countries without unemployment or welfare benefits people eke out a living in vulnerable employment. In countries with well-developed safety nets workers can afford to wait for suitable or desirable jobs. But high and sustained unemployment indicates serious inefficiencies in resource allocation.\n\nYouth unemployment is an important policy issue for many economies. Young men and women today face increasing uncertainty in their hopes of undergoing a satisfactory transition in the labour market, and this uncertainty and disillusionment can, in turn, have damaging effects on individuals, communities, economies and society at large. Unemployed or underemployed youth are less able to contribute effectively to national development and have fewer opportunities to exercise their rights as citizens. They have less to spend as consumers, less to invest as savers and often have no \"voice\" to bring about change in their lives and communities. Widespread youth unemployment and underemployment also prevents companies and countries from innovating and developing competitive advantages based on human capital investment, thus undermining future prospects.\n\nUnemployment is a key measure to monitor whether a country is on track to achieve the Sustainable Development Goal of promoting sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all. [SDG Indicator 8.5.2]","^1P","International Labour Organization. “ILO Modelled Estimates and Projections database (ILOEST)” ILOSTAT. Accessed June 18, 2024. https://ilostat.ilo.org/data/.","^1Q","Unemployment refers to the share of the labor force that is without work but available for and seeking employment.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Unemployment refers to the share of the labor force that is without work but available for and seeking employment.","^1S","The criteria for people considered to be seeking work, and the treatment of people temporarily laid off or seeking work for the first time, vary across countries. In many cases it is especially difficult to measure employment and unemployment in agriculture. The timing of a survey can maximize the effects of seasonal unemployment in agriculture. And informal sector employment is difficult to quantify where informal activities are not tracked.\n\nThere may be also persons not currently in the labour market who want to work but do not actively \"seek\" work because they view job opportunities as limited, or because they have restricted labour mobility, or face discrimination, or structural, social or cultural barriers. The exclusion of people who want to work but are not seeking work (often called the \"hidden unemployed\" or \"discouraged workers\") is a criterion that will affect the unemployment count of both women and men. \n\nHowever, women tend to be excluded from the count for various reasons. Women suffer more from discrimination and from structural, social, and cultural barriers that impede them from seeking work. Also, women are often responsible for the care of children and the elderly and for household affairs. They may not be available for work during the short reference period, as they need to make arrangements before starting work. Further, women are considered to be employed when they are working part-time or in temporary jobs, despite the instability of these jobs or their active search for more secure employment.","^1E","CC BY-4.0","^1T","Social Protection & Labor: Unemployment","^1U","Unemployment, female (% of female labor force) (modeled ILO estimate)","^1V","International Labour Organization. “ILO Modelled Estimates and Projections database (ILOEST)” ILOSTAT. Accessed June 18, 2024. https://ilostat.ilo.org/data/.","^1W","Given the exceptional situation, including the scarcity of relevant data, the ILO modeled estimates and projections from 2020 onwards are subject to substantial uncertainty.","^1X","Unemployment, female (% of female labor force) (modeled ILO estimate)"]],"^1U",["^ ","^2","atom","^3","Unemployment, female (% of female labor force) (modeled ILO estimate)"],"id",["^ ","^2","atom","^3","SL.UEM.TOTL.FE.ZS"],"^1Y",["^ ","^2","atom","^3",[2023,["CI","NO","MW","MO","MZ","SN","BD","KZ","MU","VU","ZM","AZ","UG","ME","PR","KW","LA","KH","CD","LK","PE","AU","IE","DJ","FI","NA","NG","BZ","JG","WS","MX","TH","DK","PA","CA","T2","CO","MD","GQ","BA","VE","SY","IS","CM","GY","NL","T5","UY","US","AM","GB","JP","KP","BE","JM","SB","IR","IL","MN","HT","SO","ST","MA","CR","NZ","MT","CG","DE","GA","TT","YE","LY","BW","TJ","ES","TL","TZ","XG","GW","HR","PH","SL","GM","SZ","CN","ID","VN","AO","BT","RS","NI","BB","VI","TG","RO","CH","GE","BG","MV","SI","DO","GH","ZW","GN","ET","AR","TM","BH","GR","LS","SE","LB","CL","SV","T3","PF","MG","BO","IQ","IT","LC","UZ","EG","KR","AT","LV","KM","RU","T6","T7","TO","MR","MM","SA","BJ","LT","CV","QA","TD","PT","SS","PG","RW","KE","FJ","OM","CU","GT","BS","NC","EE","GU","LR","MK","T4","JO","AE","ZA","BF","SK","CY","NE","LU","SR","BY","CF","BI","PY","SG","TN","PL","ER","HK","BR","AL","PK","SD","BN","HN","FR","VC","NP","TR","DZ","EC","CZ","MY","ZT","HU","KG","IN","ML","AF"]]],"^1Z",["^ ","^2","atom","^3",["SL.UEM.TOTL.FE.NE.ZS","SL.UEM.TOTL.ZS","SL.UEM.TOTL.MA.ZS","SL.UEM.TOTL.NE.ZS","SL.UEM.TOTL.MA.NE.ZS","SL.UEM.ADVN.ZS","SL.UEM.BASC.FE.ZS","SL.UEM.NEET.FE.ZS","SL.UEM.NEET.MA.ZS"]],"^1N",["^ ","^2","atom","^3","Unemployment, female"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Unemployment refers to the share of the labor force that is without work but available for and seeking employment."],"^1V",["^ ","^2","atom","^3","International Labour Organization. “ILO Modelled Estimates and Projections database (ILOEST)” ILOSTAT. Accessed June 18, 2024. https://ilostat.ilo.org/data/."],"^1[",["^ ","^2","atom","^3","https://ilostat.ilo.org/data/"],"^20",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "],["^ ","id","10","^3","Social Protection & Labor"],["^ ","id","17","^3","Gender"],["^ ","id","15","^3","Social Development "]]],"^J",["^ ","^2","atom","^3","percent"]],"SL.UEM.TOTL.MA.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.5"],"^1H",["^ ","^2","atom","^3",1],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1J","National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.","^1K","The standard definition of unemployed persons is those individuals without work, seeking work in a recent past period, and currently available for work, including people who have lost their jobs or voluntarily left work. In addition, persons who did not look for work but have an arrangement for a future job are also counted as unemployed. Still, some unemployment is unavoidable—at any time, some workers are temporarily unemployed between jobs as employers look for the right workers and workers search for better jobs. The labor force or the economically active portion of the population serves as the base for this indicator, not the total population.\n\nThe series is part of the \"ILO modeled estimates database,\" including nationally reported observations and imputed data for countries with missing data, primarily to capture regional and global trends with consistent country coverage. Country-reported microdata is based mainly on nationally representative labor force surveys, with other sources (e.g., household surveys and population censuses) considering differences in the data source, the scope of coverage, methodology, and other country-specific factors. Country analysis requires caution where limited nationally reported data are available. A series of models are also applied to impute missing observations and make projections. However, imputed observations are not based on national data, are subject to high uncertainty, and should not be used for country comparisons or rankings. For more information: https://ilostat.ilo.org/resources/concepts-and-definitions/ilo-modelled-estimates/","^1L","Weighted average","^1M","Annual","^1N","Unemployment, male","^1O","Paradoxically, low unemployment rates can disguise substantial poverty in a country, while high unemployment rates can occur in countries with a high level of economic development and low rates of poverty. In countries without unemployment or welfare benefits people eke out a living in vulnerable employment. In countries with well-developed safety nets workers can afford to wait for suitable or desirable jobs. But high and sustained unemployment indicates serious inefficiencies in resource allocation.\n\nYouth unemployment is an important policy issue for many economies. Young men and women today face increasing uncertainty in their hopes of undergoing a satisfactory transition in the labour market, and this uncertainty and disillusionment can, in turn, have damaging effects on individuals, communities, economies and society at large. Unemployed or underemployed youth are less able to contribute effectively to national development and have fewer opportunities to exercise their rights as citizens. They have less to spend as consumers, less to invest as savers and often have no \"voice\" to bring about change in their lives and communities. Widespread youth unemployment and underemployment also prevents companies and countries from innovating and developing competitive advantages based on human capital investment, thus undermining future prospects.\n\nUnemployment is a key measure to monitor whether a country is on track to achieve the Sustainable Development Goal of promoting sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all. [SDG Indicator 8.5.2]","^1P","International Labour Organization. “ILO Modelled Estimates and Projections database (ILOEST)” ILOSTAT. Accessed June 18, 2024. https://ilostat.ilo.org/data/.","^1Q","Unemployment refers to the share of the labor force that is without work but available for and seeking employment.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Unemployment refers to the share of the labor force that is without work but available for and seeking employment.","^1S","The criteria for people considered to be seeking work, and the treatment of people temporarily laid off or seeking work for the first time, vary across countries. In many cases it is especially difficult to measure employment and unemployment in agriculture. The timing of a survey can maximize the effects of seasonal unemployment in agriculture. And informal sector employment is difficult to quantify where informal activities are not tracked.\n\nThere may be also persons not currently in the labour market who want to work but do not actively \"seek\" work because they view job opportunities as limited, or because they have restricted labour mobility, or face discrimination, or structural, social or cultural barriers. The exclusion of people who want to work but are not seeking work (often called the \"hidden unemployed\" or \"discouraged workers\") is a criterion that will affect the unemployment count of both women and men. \n\nHowever, women tend to be excluded from the count for various reasons. Women suffer more from discrimination and from structural, social, and cultural barriers that impede them from seeking work. Also, women are often responsible for the care of children and the elderly and for household affairs. They may not be available for work during the short reference period, as they need to make arrangements before starting work. Further, women are considered to be employed when they are working part-time or in temporary jobs, despite the instability of these jobs or their active search for more secure employment.","^1E","CC BY-4.0","^1T","Social Protection & Labor: Unemployment","^1U","Unemployment, male (% of male labor force) (modeled ILO estimate)","^1V","International Labour Organization. “ILO Modelled Estimates and Projections database (ILOEST)” ILOSTAT. Accessed June 18, 2024. https://ilostat.ilo.org/data/.","^1W","Given the exceptional situation, including the scarcity of relevant data, the ILO modeled estimates and projections from 2020 onwards are subject to substantial uncertainty.","^1X","Unemployment, male (% of male labor force) (modeled ILO estimate)"]],"^1U",["^ ","^2","atom","^3","Unemployment, male (% of male labor force) (modeled ILO estimate)"],"id",["^ ","^2","atom","^3","SL.UEM.TOTL.MA.ZS"],"^1Y",["^ ","^2","atom","^3",[2023,["CI","NO","MW","MO","MZ","SN","BD","KZ","MU","VU","ZM","AZ","UG","ME","PR","KW","LA","KH","CD","LK","PE","AU","IE","DJ","FI","NA","NG","BZ","JG","WS","MX","TH","DK","PA","CA","T2","CO","MD","GQ","BA","VE","SY","IS","CM","GY","NL","T5","UY","US","AM","GB","JP","KP","BE","JM","SB","IR","IL","MN","HT","SO","ST","MA","CR","NZ","MT","CG","DE","GA","TT","YE","LY","BW","TJ","ES","TL","TZ","XG","GW","HR","PH","SL","GM","SZ","CN","ID","VN","AO","BT","RS","NI","BB","VI","TG","RO","CH","GE","BG","MV","SI","DO","GH","ZW","GN","ET","AR","TM","BH","GR","LS","SE","LB","CL","SV","T3","PF","MG","BO","IQ","IT","LC","UZ","EG","KR","AT","LV","KM","RU","T6","T7","TO","MR","MM","SA","BJ","LT","CV","QA","TD","PT","SS","PG","RW","KE","FJ","OM","CU","GT","BS","NC","EE","GU","LR","MK","T4","JO","AE","ZA","BF","SK","CY","NE","LU","SR","BY","CF","BI","PY","SG","TN","PL","ER","HK","BR","AL","PK","SD","BN","HN","FR","VC","NP","TR","DZ","EC","CZ","MY","ZT","HU","KG","IN","ML","AF"]]],"^1Z",["^ ","^2","atom","^3",["SL.UEM.TOTL.MA.NE.ZS","SL.UEM.TOTL.FE.ZS","SL.UEM.TOTL.FE.NE.ZS","SL.UEM.TOTL.ZS","SL.UEM.TOTL.NE.ZS","SL.UEM.ADVN.ZS","SL.UEM.BASC.FE.ZS","SL.UEM.NEET.FE.ZS","SL.UEM.NEET.MA.ZS"]],"^1N",["^ ","^2","atom","^3","Unemployment, male"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Unemployment refers to the share of the labor force that is without work but available for and seeking employment."],"^1V",["^ ","^2","atom","^3","International Labour Organization. “ILO Modelled Estimates and Projections database (ILOEST)” ILOSTAT. Accessed June 18, 2024. https://ilostat.ilo.org/data/."],"^1[",["^ ","^2","atom","^3","https://ilostat.ilo.org/data/"],"^20",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "],["^ ","id","10","^3","Social Protection & Labor"],["^ ","id","17","^3","Gender"],["^ ","id","15","^3","Social Development "]]],"^J",["^ ","^2","atom","^3","percent"]],"SP.ADO.TFRT",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.14"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1J","This is the Sustainable Development Goal indicator 3.7.2 [https://unstats.un.org/sdgs/metadata/].","^1K","Reproductive health is a state of physical and mental well-being in relation to the reproductive system and its functions and processes. Means of achieving reproductive health include education and services during pregnancy and childbirth, safe and effective contraception, and prevention and treatment of sexually transmitted diseases. Complications of pregnancy and childbirth are the leading cause of death and disability among women of reproductive age in developing countries.\n\nAdolescent fertility rates are based on data on registered live births from vital registration systems or, in the absence of such systems, from censuses or sample surveys. The estimated rates are generally considered reliable measures of fertility in the recent past. Where no empirical information on age-specific fertility rates is available, a model is used to estimate the share of births to adolescents. For countries without vital registration systems fertility rates are generally based on extrapolations from trends observed in censuses or surveys from earlier years.","^1L","Weighted average","^1M","Annual","^1T","Health: Reproductive health","^1P","United Nations Population Division, World Population Prospects.","^1Q","Adolescent fertility rate is the number of births per 1,000 women ages 15-19.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Adolescent fertility rate is the number of births per 1,000 women ages 15-19.","^1E","CC BY-4.0","^1U","Adolescent fertility rate (births per 1,000 women ages 15-19)","^1V","United Nations Population Division, World Population Prospects.","^1N","Adolescent fertility rate","^1X","Adolescent fertility rate (births per 1,000 women ages 15-19)"]],"^1U",["^ ","^2","atom","^3","Adolescent fertility rate (births per 1,000 women ages 15-19)"],"id",["^ ","^2","atom","^3","SP.ADO.TFRT"],"^1Y",["^ ","^2","atom","^3",[2022,["CI","NO","MW","MO","MZ","SN","BD","KZ","MU","VU","ZM","AZ","UG","ME","PR","LI","KW","LA","KH","TC","CD","LK","PE","AU","IE","DJ","AG","FI","NA","NG","BZ","JG","WS","MX","TH","DK","PA","CA","T2","CO","MD","GQ","BA","VE","SY","IS","CM","GY","NL","T5","UY","US","AM","GB","JP","KI","KP","BE","JM","SB","IR","IL","MN","HT","SO","ST","MA","CR","NZ","FM","MT","CG","DE","GA","MP","TT","YE","LY","PS","DM","BW","TJ","GI","ES","TL","TZ","XG","GW","HR","PH","SL","GM","SZ","CN","ID","VN","AO","BT","RS","NI","BB","VI","TG","RO","CH","GE","BG","MV","XK","SI","DO","GH","ZW","GN","ET","GL","UA","AR","TM","VG","SC","BH","GR","LS","SE","LB","CL","SV","T3","PF","AS","MG","BO","IQ","IT","LC","CW","UZ","SX","KN","EG","BM","KR","AT","LV","KM","RU","T6","T7","TO","MR","MM","SA","BJ","LT","CV","QA","TD","PT","SS","PG","RW","KE","GD","FJ","OM","CU","GT","MF","BS","NC","KY","EE","GU","LR","MK","T4","JO","AE","ZA","BF","SK","AW","MH","CY","NE","LU","MC","FO","SR","BY","CF","BI","PY","SG","IM","TN","PL","TV","ER","HK","BR","AL","PK","SD","NR","BN","HN","FR","PW","VC","NP","AD","TR","DZ","EC","CZ","MY","SM","ZT","HU","KG","IN","ML","AF"]]],"^1Z",["^ ","^2","atom","^3",["SP.POP.2529.FE.5Y","SP.DYN.TO65.FE.ZS","SP.POP.DPND","SP.POP.65UP.TO.ZS","SP.DYN.CDRT.IN","SP.REG.DTHS.ZS","SP.POP.65UP.TO","SP.POP.65UP.FE.IN","SP.POP.7074.FE.5Y"]],"^1N",["^ ","^2","atom","^3","Adolescent fertility rate"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Adolescent fertility rate is the number of births per 1,000 women ages 15-19."],"^1V",["^ ","^2","atom","^3","United Nations Population Division, World Population Prospects."],"^1[",["^ ","^2","atom"],"^20",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "],["^ ","id","17","^3","Gender"],["^ ","id","15","^3","Social Development "]]],"^J",["^ ","^2","atom","^3","unknown"]],"SP.DYN.CONU.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.14"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","Contraceptive prevalence among women of reproductive age is related to maternal and child health, as well as gender equality and HIV/AIDS. Contraceptives enable women and men to make informed decisions on family planning – whether, when, and how many children they would have. \n\nPreventing unwanted pregnancies is essential to reducing maternal deaths, especially in low- and middle- income countries where maternal mortality rate is high. With effective contraception, life-threatening pregnancy complications can be reduced, and thus maternal deaths can be averted. \n\nUsing condoms (one of the modern contraceptive methods) can prevent pregnancy as well as sexually transmitted diseases, including HIV.","^1K","Contraceptive prevalence rates are obtained mainly from nationally representative household surveys, including: Demographic and Health Surveys; Multiple Indicator Cluster Surveys; Contraceptive Prevalence Surveys; Gender and Generations Survey; Reproductive Health Surveys; and World Fertility Surveys. Additional information was provided by other international survey programs and national surveys. \n\nMarried women refer to women who are married (defined in relation to the marriage laws or customs of a country) and to women in a union, which refers to women living with their partner in the same household (also referred to as cohabiting unions, consensual unions, unmarried unions, or “living together”).","^1L","Weighted average","^1M","Annual","^1T","Health: Reproductive health","^1P","Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.","^1Q","Contraceptive prevalence, any method is the percentage of married women ages 15-49 who are practicing, or whose sexual partners are practicing, any method of contraception (modern or traditional). Modern methods of contraception include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception. Traditional methods of contraception include rhythm (e.g., fertility awareness based methods, periodic abstinence), withdrawal and other traditional methods.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Contraceptive prevalence, any method is the percentage of married women ages 15-49 who are practicing, or whose sexual partners are practicing, any method of contraception (modern or traditional). Modern methods of contraception include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception. Traditional methods of contraception include rhythm (e.g., fertility awareness based methods, periodic abstinence), withdrawal and other traditional methods.","Othernotes","As of December 2021, for better consistency the contraceptive prevalence data only for currently married women or in union are included in this indicator. It means the data for the following categories are excluded from this indicator: ever-married women; all women; sexually active women; which data may have been included in this indicator before December 2021. In response to this, two new contraceptive prevalence indicators (any method and any modern method) for sexually active unmarried women 15-49 are added to the HealthStats database. https://databank.worldbank.org/source/health-nutrition-and-population-statistics","^1E","CC BY-4.0","^1S","While the data availability on contraceptive use has increased, in many countries the contraceptive use data are available only for married women. \n\nThe time frame used to assess contraceptive prevalence may vary. In many surveys, it is left to the respondent to determine what is meant by “currently using” a method of contraception.","^1N","Contraceptive prevalence, any method","^1V","Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.","^1U","Contraceptive prevalence, any method (% of married women ages 15-49)","^1X","Contraceptive prevalence, any method (% of married women ages 15-49)"]],"^1U",["^ ","^2","atom","^3","Contraceptive prevalence, any method (% of married women ages 15-49)"],"id",["^ ","^2","atom","^3","SP.DYN.CONU.ZS"],"^1Y",["^ ","^2","atom","^3",[2021,["UG","VN","MG","MR","BF","NE","IN"]]],"^1Z",["^ ","^2","atom","^3",["SP.DYN.TO65.FE.ZS","SP.DYN.CDRT.IN","SP.DYN.AMRT.MA","SP.DYN.IMRT.IN","SP.DYN.IMRT.MA.IN","SP.DYN.CBRT.IN","SP.DYN.LE00.IN","SP.DYN.TFRT.IN","SP.DYN.AMRT.FE"]],"^1N",["^ ","^2","atom","^3","Contraceptive prevalence, any method"],"^8",["^ ","^2","atom","^3","2"],"^1R",["^ ","^2","atom","^3","Contraceptive prevalence, any method is the percentage of married women ages 15-49 who are practicing, or whose sexual partners are practicing, any method of contraception (modern or traditional). Modern methods of contraception include female and male sterilization, oral hormonal pills, the intra-uterine device (IUD), the male condom, injectables, the implant (including Norplant), vaginal barrier methods, the female condom and emergency contraception. Traditional methods of contraception include rhythm (e.g., fertility awareness based methods, periodic abstinence), withdrawal and other traditional methods."],"^1V",["^ ","^2","atom","^3","Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division."],"^1[",["^ ","^2","atom"],"^20",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","percent"]],"SP.DYN.LE00.FE.IN",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","WV.5"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","Mortality rates for different age groups (infants, children, and adults) and overall mortality indicators (life expectancy at birth or survival to a given age) are important indicators of health status in a country. Because data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. And they are among the indicators most frequently used to compare socioeconomic development across countries.","^1K","Life expectancy at birth used here is the average number of years a newborn is expected to live if mortality patterns at the time of its birth remain constant in the future. It reflects the overall mortality level of a population, and summarizes the mortality pattern that prevails across all age groups in a given year. It is calculated in a period life table which provides a snapshot of a population's mortality pattern at a given time. It therefore does not reflect the mortality pattern that a person actually experiences during his/her life, which can be calculated in a cohort life table.\n\nHigh mortality in young age groups significantly lowers the life expectancy at birth. But if a person survives his/her childhood of high mortality, he/she may live much longer. For example, in a population with a life expectancy at birth of 50, there may be few people dying at age 50. The life expectancy at birth may be low due to the high childhood mortality so that once a person survives his/her childhood, he/she may live much longer than 50 years.","^1L","Weighted average","^1M","Annual","^1T","Health: Mortality","^1P","(1) United Nations Population Division. World Population Prospects: 2022 Revision; (2) Statistical databases and publications from national statistical offices; (3) Eurostat: Demographic Statistics.","^1Q","Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.","^1E","CC BY-4.0","^1U","Life expectancy at birth, female (years)","^1V","(1) United Nations Population Division. 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World Population Prospects: 2022 Revision; (2) Statistical databases and publications from national statistical offices; (3) Eurostat: Demographic Statistics."],"^1[",["^ ","^2","atom"],"^20",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "],["^ ","id","17","^3","Gender"],["^ ","id","15","^3","Social Development "]]],"^J",["^ ","^2","atom","^3","unknown"]],"SP.DYN.LE00.MA.IN",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","WV.5"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","Mortality rates for different age groups (infants, children, and adults) and overall mortality indicators (life expectancy at birth or survival to a given age) are important indicators of health status in a country. Because data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. And they are among the indicators most frequently used to compare socioeconomic development across countries.","^1K","Life expectancy at birth used here is the average number of years a newborn is expected to live if mortality patterns at the time of its birth remain constant in the future. It reflects the overall mortality level of a population, and summarizes the mortality pattern that prevails across all age groups in a given year. It is calculated in a period life table which provides a snapshot of a population's mortality pattern at a given time. It therefore does not reflect the mortality pattern that a person actually experiences during his/her life, which can be calculated in a cohort life table.\n\nHigh mortality in young age groups significantly lowers the life expectancy at birth. But if a person survives his/her childhood of high mortality, he/she may live much longer. For example, in a population with a life expectancy at birth of 50, there may be few people dying at age 50. The life expectancy at birth may be low due to the high childhood mortality so that once a person survives his/her childhood, he/she may live much longer than 50 years.","^1L","Weighted average","^1M","Annual","^1T","Health: Mortality","^1P","(1) United Nations Population Division. World Population Prospects: 2022 Revision; (2) Statistical databases and publications from national statistical offices; (3) Eurostat: Demographic Statistics.","^1Q","Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.","^1E","CC BY-4.0","^1U","Life expectancy at birth, male (years)","^1V","(1) United Nations Population Division. 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World Population Prospects: 2022 Revision; (2) Statistical databases and publications from national statistical offices; (3) Eurostat: Demographic Statistics."],"^1[",["^ ","^2","atom"],"^20",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "],["^ ","id","17","^3","Gender"],["^ ","id","15","^3","Social Development "]]],"^J",["^ ","^2","atom","^3","unknown"]],"SP.DYN.TFRT.IN",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom","^3","2.14"],"^1H",["^ ","^2","atom","^3",1],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1J","Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.","^1K","Total fertility rates are based on data on registered live births from vital registration systems or, in the absence of such systems, from censuses or sample surveys. The estimated rates are generally considered reliable measures of fertility in the recent past. Where no empirical information on age-specific fertility rates is available, a model is used to estimate the share of births to adolescents. For countries without reliable vital registration systems fertility rates are generally based on extrapolations from trends observed in censuses or surveys from earlier years.","^1L","Weighted average","^1M","Annual","^1O","Reproductive health is a state of physical and mental well-being in relation to the reproductive system and its functions and processes. Means of achieving reproductive health include education and services during pregnancy and childbirth, safe and effective contraception, and prevention and treatment of sexually transmitted diseases. Complications of pregnancy and childbirth are the leading cause of death and disability among women of reproductive age in developing countries.","^1P","(1) United Nations Population Division. World Population Prospects: 2022 Revision; (2) Statistical databases and publications from national statistical offices; (3) Eurostat: Demographic Statistics.","^1Q","Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.","^1E","CC BY-4.0","^1T","Health: Reproductive health","^1U","Fertility rate, total (births per woman)","^1V","(1) United Nations Population Division. 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World Population Prospects: 2022 Revision; (2) Statistical databases and publications from national statistical offices; (3) Eurostat: Demographic Statistics."],"^1[",["^ ","^2","atom"],"^20",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "],["^ ","id","17","^3","Gender"]]],"^J",["^ ","^2","atom","^3","unknown"]],"SP.MTR.1519.ZS",["^ ","^1E",["^ ","^2","atom","^3","CC BY-4.0"],"^1F",["^ ","^2","atom","^3","https://datacatalog.worldbank.org/public-licenses#cc-by"],"^1G",["^ ","^2","atom"],"^1H",["^ ","^2","atom","^3",0],"^1I",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^1O","Having a child during the teenage years limits girls' opportunities for better education, jobs, and income. Pregnancy is more likely to be unintended during the teenage years, and births are more likely to be premature and are associated with greater risks of complications during delivery and of death. In many countries maternal mortality is a leading cause of death among women of reproductive age, although most of those deaths are preventable. Infants of adolescent mothers are also more likely to have low birth weight, which can have a long-term impact on their health and development. Complications from pregnancy and childbirth are the leading cause of death among girls aged 15-19 years in many low- and middle-income countries.","^1L","Weighted average","^1M","Annual","^1T","Health: Reproductive health","^1P","Demographic and Health Surveys.","^1Q","Teenage mothers are the percentage of women ages 15-19 who already have children or are currently pregnant.","^1F","https://datacatalog.worldbank.org/public-licenses#cc-by","^1R","Teenage mothers are the percentage of women ages 15-19 who already have children or are currently pregnant.","^1E","CC BY-4.0","^1U","Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)","^1V","Demographic and Health Surveys.","^1N","Teenage mothers","^1X","Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)"]],"^1U",["^ ","^2","atom","^3","Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)"],"id",["^ 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