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Developers</a></li></ul></div></div></div></div></div></nav></div></nav></div><div class="wrapper" id="main" data-reactid="148"><!-- react-empty: 149 --><div data-reactid="150"><div id="wdi" data-reactid="151"><!-- react-empty: 152 --><article class="card indicator" data-reactid="153"><div class="cardheader" data-reactid="154"><h1 data-reactid="155"><!-- react-text: 156 -->El Salvador<!-- /react-text --><!-- react-text: 157 --> <!-- /react-text --><a class="info-b" data-reactid="158"></a></h1><div class="jump-to" data-reactid="159"><button data-reactid="160"><span data-reactid="161">Jump to</span></button><ul class="undefined list" style="display:none;" data-reactid="162"><li data-reactid="163"><span data-reactid="164">Projects & Operations</span></li><li data-reactid="165"><span data-reactid="166">Finances</span></li><li data-reactid="167"><span data-reactid="168">Surveys</span></li><li data-reactid="169"><span data-reactid="170">Human Capital Index</span></li><li data-reactid="171"><span data-reactid="172">Global Economic Prospects - Forecasts</span></li><li data-reactid="173"><span data-reactid="174">Climate</span></li></ul></div></div><div class="locationcard-wrap-sticky-helper" data-reactid="175"><section class="body locationcard" data-reactid="176"><div class="tabbed" data-tabs="true" data-reactid="177"><ul class="react-tabs__tab-list" role="tablist" data-reactid="178"><li class="react-tabs__tab react-tabs__tab--selected" role="tab" id="react-tabs-0" aria-selected="true" aria-disabled="false" aria-controls="react-tabs-1" tabindex="0" data-reactid="179"><span data-reactid="180">Overview</span></li><li class="react-tabs__tab" role="tab" id="react-tabs-2" aria-selected="false" aria-disabled="false" aria-controls="react-tabs-3" data-reactid="181"><span data-reactid="182">By Theme</span></li><li class="react-tabs__tab" role="tab" id="react-tabs-4" aria-selected="false" aria-disabled="false" aria-controls="react-tabs-5" data-reactid="183"><span data-reactid="184">By SDG Goal'</span></li></ul><div style="z-index:9999;" data-reactid="185"><div data-reactid="186"><div class="accordion-wrap" data-reactid="187"><div class="accordion-trigger accordion-trigger--is-closed" data-reactid="188"><span data-reactid="189">Topic</span></div><div class="Collapsible" data-reactid="190"><span class="Collapsible__trigger is-closed" data-reactid="191"></span><div class="Collapsible__contentOuter" style="height:0;-webkit-transition:height 100ms linear;-ms-transition:height 100ms linear;transition:height 100ms linear;overflow:hidden;" data-reactid="192"><div class="Collapsible__contentInner" data-reactid="193"><ul class="accordion-list" data-reactid="194"><li data-reactid="195"><a href="#Social" data-reactid="196">Social</a></li><li data-reactid="197"><a href="#Economic" data-reactid="198">Economic</a></li><li data-reactid="199"><a href="#Environment" data-reactid="200">Environment</a></li><li data-reactid="201"><a href="#Institutions" data-reactid="202">Institutions</a></li></ul></div></div></div></div></div></div><div class="react-tabs__tab-panel react-tabs__tab-panel--selected" role="tabpanel" id="react-tabs-1" aria-labelledby="react-tabs-0" data-reactid="203"><div data-reactid="204"><div class="indicator-item" id="0" data-reactid="205"><h1 data-reactid="206"><span data-reactid="207">Social</span></h1><div class="indicator-status-bar" data-reactid="208"><div data-reactid="209"><span data-reactid="210">Indicator</span></div><div data-reactid="211"><span data-reactid="212">Most recent value</span></div><div data-reactid="213"><span data-reactid="214">Trend</span></div></div><div class="indicator-item__wrapper spinning" style="z-index:6;" data-reactid="215"><div class="indicator-item__inner" data-reactid="216"><div class="indicator-item__headline-mobile" data-reactid="217"><a href="/web/20220510201529/https://data.worldbank.org/indicator/SI.POV.DDAY?locations=SV" data-reactid="218">Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)</a></div><div class="indicator-item__col indicator-item__col--flex" data-reactid="219"></div><div class="indicator-item__col indicator-item__col--middle" data-reactid="220"></div><div class="indicator-item__col indicator-item__col--last" data-reactid="221"><div class="indicator-item__chart-title-mob" data-reactid="222"><span data-reactid="223">Trend</span></div><div class="chart view indicator-item__chart" data-reactid="224"><div class="indicator-item__chart-inner-wrap" data-reactid="225"><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="226"/><div class="d3-chart spinning" data-reactid="227"></div></div></div></div></div></div><div class="indicator-item__wrapper spinning" style="z-index:5;" data-reactid="228"><div class="indicator-item__inner" data-reactid="229"><div class="indicator-item__headline-mobile" data-reactid="230"><a href="/web/20220510201529/https://data.worldbank.org/indicator/SP.DYN.LE00.IN?locations=SV" data-reactid="231">Life expectancy at birth, total (years)</a></div><div class="indicator-item__col indicator-item__col--flex" data-reactid="232"></div><div class="indicator-item__col indicator-item__col--middle" data-reactid="233"></div><div class="indicator-item__col indicator-item__col--last" data-reactid="234"><div class="indicator-item__chart-title-mob" data-reactid="235"><span data-reactid="236">Trend</span></div><div class="chart view indicator-item__chart" data-reactid="237"><div class="indicator-item__chart-inner-wrap" data-reactid="238"><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="239"/><div class="d3-chart spinning" data-reactid="240"></div></div></div></div></div></div><div class="indicator-item__wrapper spinning" style="z-index:4;" data-reactid="241"><div class="indicator-item__inner" data-reactid="242"><div class="indicator-item__headline-mobile" data-reactid="243"><a href="/web/20220510201529/https://data.worldbank.org/indicator/SP.POP.TOTL?locations=SV" data-reactid="244">Population, total</a></div><div class="indicator-item__col indicator-item__col--flex" data-reactid="245"></div><div class="indicator-item__col indicator-item__col--middle" data-reactid="246"></div><div class="indicator-item__col indicator-item__col--last" data-reactid="247"><div class="indicator-item__chart-title-mob" data-reactid="248"><span data-reactid="249">Trend</span></div><div class="chart view indicator-item__chart" data-reactid="250"><div class="indicator-item__chart-inner-wrap" data-reactid="251"><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="252"/><div class="d3-chart spinning" data-reactid="253"></div></div></div></div></div></div><div class="indicator-item__wrapper spinning" style="z-index:3;" data-reactid="254"><div class="indicator-item__inner" data-reactid="255"><div class="indicator-item__headline-mobile" data-reactid="256"><a href="/web/20220510201529/https://data.worldbank.org/indicator/SP.POP.GROW?locations=SV" data-reactid="257">Population growth (annual %)</a></div><div class="indicator-item__col indicator-item__col--flex" data-reactid="258"></div><div class="indicator-item__col indicator-item__col--middle" data-reactid="259"></div><div class="indicator-item__col indicator-item__col--last" data-reactid="260"><div class="indicator-item__chart-title-mob" data-reactid="261"><span data-reactid="262">Trend</span></div><div class="chart view indicator-item__chart" data-reactid="263"><div class="indicator-item__chart-inner-wrap" data-reactid="264"><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="265"/><div class="d3-chart spinning" data-reactid="266"></div></div></div></div></div></div><div class="indicator-item__wrapper spinning" style="z-index:2;" data-reactid="267"><div class="indicator-item__inner" data-reactid="268"><div class="indicator-item__headline-mobile" data-reactid="269"><a href="/web/20220510201529/https://data.worldbank.org/indicator/SM.POP.NETM?locations=SV" data-reactid="270">Net migration</a></div><div class="indicator-item__col indicator-item__col--flex" data-reactid="271"></div><div class="indicator-item__col indicator-item__col--middle" data-reactid="272"></div><div class="indicator-item__col indicator-item__col--last" data-reactid="273"><div class="indicator-item__chart-title-mob" data-reactid="274"><span data-reactid="275">Trend</span></div><div class="chart view indicator-item__chart" data-reactid="276"><div class="indicator-item__chart-inner-wrap" data-reactid="277"><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="278"/><div class="d3-chart spinning" data-reactid="279"></div></div></div></div></div></div><div class="indicator-item__wrapper spinning" style="z-index:1;" data-reactid="280"><div class="indicator-item__inner" data-reactid="281"><div class="indicator-item__headline-mobile" data-reactid="282"><a href="/web/20220510201529/https://data.worldbank.org/indicator/HD.HCI.OVRL?locations=SV" data-reactid="283">Human Capital Index (HCI) (scale 0-1)</a></div><div class="indicator-item__col indicator-item__col--flex" data-reactid="284"></div><div class="indicator-item__col indicator-item__col--middle" data-reactid="285"></div><div class="indicator-item__col indicator-item__col--last" data-reactid="286"><div class="indicator-item__chart-title-mob" data-reactid="287"><span data-reactid="288">Trend</span></div><div class="chart view indicator-item__chart" data-reactid="289"><div class="indicator-item__chart-inner-wrap" data-reactid="290"><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="291"/><div class="d3-chart spinning" data-reactid="292"></div></div></div></div></div></div></div><div class="indicator-item" id="1" data-reactid="293"><h1 data-reactid="294"><span data-reactid="295">Economic</span></h1><div class="indicator-status-bar" data-reactid="296"><div data-reactid="297"><span data-reactid="298">Indicator</span></div><div data-reactid="299"><span data-reactid="300">Most recent value</span></div><div data-reactid="301"><span data-reactid="302">Trend</span></div></div><div class="indicator-item__wrapper spinning" style="z-index:6;" data-reactid="303"><div class="indicator-item__inner" data-reactid="304"><div class="indicator-item__headline-mobile" data-reactid="305"><a href="/web/20220510201529/https://data.worldbank.org/indicator/NY.GDP.MKTP.CD?locations=SV" data-reactid="306">GDP (current US$)</a></div><div class="indicator-item__col indicator-item__col--flex" data-reactid="307"></div><div class="indicator-item__col indicator-item__col--middle" data-reactid="308"></div><div class="indicator-item__col indicator-item__col--last" data-reactid="309"><div class="indicator-item__chart-title-mob" data-reactid="310"><span data-reactid="311">Trend</span></div><div class="chart view indicator-item__chart" data-reactid="312"><div class="indicator-item__chart-inner-wrap" data-reactid="313"><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="314"/><div class="d3-chart spinning" data-reactid="315"></div></div></div></div></div></div><div class="indicator-item__wrapper spinning" style="z-index:5;" data-reactid="316"><div class="indicator-item__inner" data-reactid="317"><div class="indicator-item__headline-mobile" data-reactid="318"><a href="/web/20220510201529/https://data.worldbank.org/indicator/NY.GDP.PCAP.CD?locations=SV" data-reactid="319">GDP per capita (current US$)</a></div><div class="indicator-item__col indicator-item__col--flex" data-reactid="320"></div><div class="indicator-item__col indicator-item__col--middle" data-reactid="321"></div><div class="indicator-item__col indicator-item__col--last" data-reactid="322"><div class="indicator-item__chart-title-mob" data-reactid="323"><span data-reactid="324">Trend</span></div><div class="chart view indicator-item__chart" data-reactid="325"><div class="indicator-item__chart-inner-wrap" data-reactid="326"><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="327"/><div class="d3-chart spinning" data-reactid="328"></div></div></div></div></div></div><div class="indicator-item__wrapper spinning" style="z-index:4;" data-reactid="329"><div class="indicator-item__inner" data-reactid="330"><div class="indicator-item__headline-mobile" data-reactid="331"><a href="/web/20220510201529/https://data.worldbank.org/indicator/NY.GDP.MKTP.KD.ZG?locations=SV" data-reactid="332">GDP growth (annual %)</a></div><div class="indicator-item__col indicator-item__col--flex" data-reactid="333"></div><div class="indicator-item__col indicator-item__col--middle" data-reactid="334"></div><div class="indicator-item__col indicator-item__col--last" data-reactid="335"><div class="indicator-item__chart-title-mob" data-reactid="336"><span data-reactid="337">Trend</span></div><div class="chart view indicator-item__chart" data-reactid="338"><div class="indicator-item__chart-inner-wrap" data-reactid="339"><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="340"/><div class="d3-chart spinning" data-reactid="341"></div></div></div></div></div></div><div class="indicator-item__wrapper spinning" style="z-index:3;" data-reactid="342"><div class="indicator-item__inner" data-reactid="343"><div class="indicator-item__headline-mobile" data-reactid="344"><a href="/web/20220510201529/https://data.worldbank.org/indicator/SL.UEM.TOTL.ZS?locations=SV" data-reactid="345">Unemployment, total (% of total labor force) (modeled ILO estimate)</a></div><div class="indicator-item__col indicator-item__col--flex" data-reactid="346"></div><div class="indicator-item__col indicator-item__col--middle" data-reactid="347"></div><div class="indicator-item__col indicator-item__col--last" data-reactid="348"><div class="indicator-item__chart-title-mob" data-reactid="349"><span data-reactid="350">Trend</span></div><div class="chart view indicator-item__chart" data-reactid="351"><div class="indicator-item__chart-inner-wrap" data-reactid="352"><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="353"/><div class="d3-chart spinning" data-reactid="354"></div></div></div></div></div></div><div class="indicator-item__wrapper spinning" style="z-index:2;" data-reactid="355"><div class="indicator-item__inner" data-reactid="356"><div class="indicator-item__headline-mobile" data-reactid="357"><a href="/web/20220510201529/https://data.worldbank.org/indicator/FP.CPI.TOTL.ZG?locations=SV" data-reactid="358">Inflation, consumer prices (annual %)</a></div><div class="indicator-item__col indicator-item__col--flex" data-reactid="359"></div><div class="indicator-item__col indicator-item__col--middle" data-reactid="360"></div><div class="indicator-item__col indicator-item__col--last" data-reactid="361"><div class="indicator-item__chart-title-mob" data-reactid="362"><span data-reactid="363">Trend</span></div><div class="chart view indicator-item__chart" data-reactid="364"><div class="indicator-item__chart-inner-wrap" data-reactid="365"><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="366"/><div class="d3-chart spinning" data-reactid="367"></div></div></div></div></div></div><div class="indicator-item__wrapper spinning" style="z-index:1;" data-reactid="368"><div class="indicator-item__inner" data-reactid="369"><div class="indicator-item__headline-mobile" data-reactid="370"><a href="/web/20220510201529/https://data.worldbank.org/indicator/BX.TRF.PWKR.DT.GD.ZS?locations=SV" data-reactid="371">Personal remittances, received (% of GDP)</a></div><div class="indicator-item__col indicator-item__col--flex" data-reactid="372"></div><div class="indicator-item__col indicator-item__col--middle" data-reactid="373"></div><div class="indicator-item__col indicator-item__col--last" data-reactid="374"><div class="indicator-item__chart-title-mob" data-reactid="375"><span data-reactid="376">Trend</span></div><div class="chart view indicator-item__chart" data-reactid="377"><div class="indicator-item__chart-inner-wrap" data-reactid="378"><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="379"/><div class="d3-chart spinning" data-reactid="380"></div></div></div></div></div></div></div><div class="indicator-item" id="2" data-reactid="381"><h1 data-reactid="382"><span data-reactid="383">Environment</span></h1><div class="indicator-status-bar" data-reactid="384"><div data-reactid="385"><span data-reactid="386">Indicator</span></div><div data-reactid="387"><span data-reactid="388">Most recent value</span></div><div data-reactid="389"><span data-reactid="390">Trend</span></div></div><div class="indicator-item__wrapper spinning" style="z-index:6;" data-reactid="391"><div class="indicator-item__inner" data-reactid="392"><div class="indicator-item__headline-mobile" data-reactid="393"><a href="/web/20220510201529/https://data.worldbank.org/indicator/EN.ATM.CO2E.PC?locations=SV" data-reactid="394">CO2 emissions (metric tons per capita)</a></div><div class="indicator-item__col indicator-item__col--flex" data-reactid="395"></div><div class="indicator-item__col indicator-item__col--middle" data-reactid="396"></div><div class="indicator-item__col indicator-item__col--last" data-reactid="397"><div class="indicator-item__chart-title-mob" data-reactid="398"><span data-reactid="399">Trend</span></div><div class="chart view indicator-item__chart" data-reactid="400"><div class="indicator-item__chart-inner-wrap" data-reactid="401"><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="402"/><div class="d3-chart spinning" data-reactid="403"></div></div></div></div></div></div><div class="indicator-item__wrapper spinning" style="z-index:5;" data-reactid="404"><div class="indicator-item__inner" data-reactid="405"><div class="indicator-item__headline-mobile" data-reactid="406"><a href="/web/20220510201529/https://data.worldbank.org/indicator/AG.LND.FRST.ZS?locations=SV" data-reactid="407">Forest area (% of land area)</a></div><div class="indicator-item__col indicator-item__col--flex" data-reactid="408"></div><div class="indicator-item__col indicator-item__col--middle" data-reactid="409"></div><div class="indicator-item__col indicator-item__col--last" data-reactid="410"><div class="indicator-item__chart-title-mob" data-reactid="411"><span data-reactid="412">Trend</span></div><div class="chart view indicator-item__chart" data-reactid="413"><div class="indicator-item__chart-inner-wrap" data-reactid="414"><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="415"/><div class="d3-chart spinning" data-reactid="416"></div></div></div></div></div></div><div class="indicator-item__wrapper spinning" style="z-index:4;" data-reactid="417"><div class="indicator-item__inner" data-reactid="418"><div class="indicator-item__headline-mobile" data-reactid="419"><a href="/web/20220510201529/https://data.worldbank.org/indicator/EG.ELC.ACCS.ZS?locations=SV" data-reactid="420">Access to electricity (% of population)</a></div><div class="indicator-item__col indicator-item__col--flex" data-reactid="421"></div><div class="indicator-item__col indicator-item__col--middle" data-reactid="422"></div><div class="indicator-item__col indicator-item__col--last" data-reactid="423"><div class="indicator-item__chart-title-mob" data-reactid="424"><span data-reactid="425">Trend</span></div><div class="chart view indicator-item__chart" data-reactid="426"><div class="indicator-item__chart-inner-wrap" data-reactid="427"><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="428"/><div class="d3-chart spinning" data-reactid="429"></div></div></div></div></div></div><div class="indicator-item__wrapper spinning" style="z-index:3;" data-reactid="430"><div class="indicator-item__inner" data-reactid="431"><div class="indicator-item__headline-mobile" data-reactid="432"><a href="/web/20220510201529/https://data.worldbank.org/indicator/ER.H2O.FWTL.ZS?locations=SV" data-reactid="433">Annual freshwater withdrawals, total (% of internal resources)</a></div><div class="indicator-item__col indicator-item__col--flex" data-reactid="434"></div><div class="indicator-item__col indicator-item__col--middle" data-reactid="435"></div><div class="indicator-item__col indicator-item__col--last" data-reactid="436"><div class="indicator-item__chart-title-mob" data-reactid="437"><span data-reactid="438">Trend</span></div><div class="chart view indicator-item__chart" data-reactid="439"><div class="indicator-item__chart-inner-wrap" data-reactid="440"><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="441"/><div class="d3-chart spinning" data-reactid="442"></div></div></div></div></div></div><div class="indicator-item__wrapper spinning" style="z-index:2;" data-reactid="443"><div class="indicator-item__inner" data-reactid="444"><div class="indicator-item__headline-mobile" data-reactid="445"><a href="/web/20220510201529/https://data.worldbank.org/indicator/EG.ELC.RNWX.ZS?locations=SV" data-reactid="446">Electricity production from renewable sources, excluding hydroelectric (% of total)</a></div><div class="indicator-item__col indicator-item__col--flex" data-reactid="447"></div><div class="indicator-item__col indicator-item__col--middle" data-reactid="448"></div><div class="indicator-item__col indicator-item__col--last" data-reactid="449"><div class="indicator-item__chart-title-mob" data-reactid="450"><span data-reactid="451">Trend</span></div><div class="chart view indicator-item__chart" data-reactid="452"><div class="indicator-item__chart-inner-wrap" data-reactid="453"><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="454"/><div class="d3-chart spinning" data-reactid="455"></div></div></div></div></div></div><div class="indicator-item__wrapper spinning" style="z-index:1;" data-reactid="456"><div class="indicator-item__inner" data-reactid="457"><div class="indicator-item__headline-mobile" data-reactid="458"><a href="/web/20220510201529/https://data.worldbank.org/indicator/SH.STA.SMSS.ZS?locations=SV" data-reactid="459">People using safely managed sanitation services (% of population)</a></div><div class="indicator-item__col indicator-item__col--flex" data-reactid="460"></div><div class="indicator-item__col indicator-item__col--middle" data-reactid="461"></div><div class="indicator-item__col indicator-item__col--last" data-reactid="462"><div class="indicator-item__chart-title-mob" data-reactid="463"><span data-reactid="464">Trend</span></div><div class="chart view indicator-item__chart" data-reactid="465"><div class="indicator-item__chart-inner-wrap" data-reactid="466"><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="467"/><div class="d3-chart spinning" data-reactid="468"></div></div></div></div></div></div></div><div class="indicator-item" id="3" data-reactid="469"><h1 data-reactid="470"><span data-reactid="471">Institutions</span></h1><div class="indicator-status-bar" data-reactid="472"><div data-reactid="473"><span data-reactid="474">Indicator</span></div><div data-reactid="475"><span data-reactid="476">Most recent value</span></div><div data-reactid="477"><span data-reactid="478">Trend</span></div></div><div class="indicator-item__wrapper spinning" style="z-index:6;" data-reactid="479"><div class="indicator-item__inner" data-reactid="480"><div class="indicator-item__headline-mobile" data-reactid="481"><a href="/web/20220510201529/https://data.worldbank.org/indicator/VC.IHR.PSRC.P5?locations=SV" data-reactid="482">Intentional homicides (per 100,000 people)</a></div><div class="indicator-item__col indicator-item__col--flex" data-reactid="483"></div><div class="indicator-item__col indicator-item__col--middle" data-reactid="484"></div><div class="indicator-item__col indicator-item__col--last" data-reactid="485"><div class="indicator-item__chart-title-mob" data-reactid="486"><span data-reactid="487">Trend</span></div><div class="chart view indicator-item__chart" data-reactid="488"><div class="indicator-item__chart-inner-wrap" data-reactid="489"><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="490"/><div class="d3-chart spinning" data-reactid="491"></div></div></div></div></div></div><div class="indicator-item__wrapper spinning" style="z-index:5;" data-reactid="492"><div class="indicator-item__inner" data-reactid="493"><div class="indicator-item__headline-mobile" data-reactid="494"><a href="/web/20220510201529/https://data.worldbank.org/indicator/GC.DOD.TOTL.GD.ZS?locations=SV" data-reactid="495">Central government debt, total (% of GDP)</a></div><div class="indicator-item__col indicator-item__col--flex" data-reactid="496"></div><div class="indicator-item__col indicator-item__col--middle" data-reactid="497"></div><div class="indicator-item__col indicator-item__col--last" data-reactid="498"><div class="indicator-item__chart-title-mob" data-reactid="499"><span data-reactid="500">Trend</span></div><div class="chart view indicator-item__chart" data-reactid="501"><div class="indicator-item__chart-inner-wrap" data-reactid="502"><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="503"/><div class="d3-chart spinning" data-reactid="504"></div></div></div></div></div></div><div class="indicator-item__wrapper spinning" style="z-index:4;" data-reactid="505"><div class="indicator-item__inner" data-reactid="506"><div class="indicator-item__headline-mobile" data-reactid="507"><a href="/web/20220510201529/https://data.worldbank.org/indicator/IQ.SPI.OVRL?locations=SV" data-reactid="508">Statistical performance indicators (SPI): Overall score (scale 0-100)</a></div><div class="indicator-item__col indicator-item__col--flex" data-reactid="509"></div><div class="indicator-item__col indicator-item__col--middle" data-reactid="510"></div><div class="indicator-item__col indicator-item__col--last" data-reactid="511"><div class="indicator-item__chart-title-mob" data-reactid="512"><span data-reactid="513">Trend</span></div><div class="chart view indicator-item__chart" data-reactid="514"><div class="indicator-item__chart-inner-wrap" data-reactid="515"><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="516"/><div class="d3-chart spinning" data-reactid="517"></div></div></div></div></div></div><div class="indicator-item__wrapper spinning" style="z-index:3;" data-reactid="518"><div class="indicator-item__inner" data-reactid="519"><div class="indicator-item__headline-mobile" data-reactid="520"><a href="/web/20220510201529/https://data.worldbank.org/indicator/IT.NET.USER.ZS?locations=SV" data-reactid="521">Individuals using the Internet (% of population)</a></div><div class="indicator-item__col indicator-item__col--flex" data-reactid="522"></div><div class="indicator-item__col indicator-item__col--middle" data-reactid="523"></div><div class="indicator-item__col indicator-item__col--last" data-reactid="524"><div class="indicator-item__chart-title-mob" data-reactid="525"><span data-reactid="526">Trend</span></div><div class="chart view indicator-item__chart" data-reactid="527"><div class="indicator-item__chart-inner-wrap" data-reactid="528"><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="529"/><div class="d3-chart spinning" data-reactid="530"></div></div></div></div></div></div><div class="indicator-item__wrapper spinning" style="z-index:2;" data-reactid="531"><div class="indicator-item__inner" data-reactid="532"><div class="indicator-item__headline-mobile" data-reactid="533"><a href="/web/20220510201529/https://data.worldbank.org/indicator/SG.GEN.PARL.ZS?locations=SV" data-reactid="534">Proportion of seats held by women in national parliaments (%)</a></div><div class="indicator-item__col indicator-item__col--flex" data-reactid="535"></div><div class="indicator-item__col indicator-item__col--middle" data-reactid="536"></div><div class="indicator-item__col indicator-item__col--last" data-reactid="537"><div class="indicator-item__chart-title-mob" data-reactid="538"><span data-reactid="539">Trend</span></div><div class="chart view indicator-item__chart" data-reactid="540"><div class="indicator-item__chart-inner-wrap" data-reactid="541"><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="542"/><div class="d3-chart spinning" data-reactid="543"></div></div></div></div></div></div><div class="indicator-item__wrapper spinning" style="z-index:1;" data-reactid="544"><div class="indicator-item__inner" data-reactid="545"><div class="indicator-item__headline-mobile" data-reactid="546"><a href="/web/20220510201529/https://data.worldbank.org/indicator/BX.KLT.DINV.WD.GD.ZS?locations=SV" data-reactid="547">Foreign direct investment, net inflows (% of GDP)</a></div><div class="indicator-item__col indicator-item__col--flex" data-reactid="548"></div><div class="indicator-item__col indicator-item__col--middle" data-reactid="549"></div><div class="indicator-item__col indicator-item__col--last" data-reactid="550"><div class="indicator-item__chart-title-mob" data-reactid="551"><span data-reactid="552">Trend</span></div><div class="chart view indicator-item__chart" data-reactid="553"><div class="indicator-item__chart-inner-wrap" data-reactid="554"><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="555"/><div class="d3-chart spinning" data-reactid="556"></div></div></div></div></div></div></div></div></div><div class="react-tabs__tab-panel" role="tabpanel" id="react-tabs-3" aria-labelledby="react-tabs-2" data-reactid="557"></div><div class="react-tabs__tab-panel" role="tabpanel" id="react-tabs-5" aria-labelledby="react-tabs-4" data-reactid="558"></div></div></section><aside class="sidebar location-sidebar" data-reactid="559"><p data-reactid="560"><span data-reactid="561">Graph, map and compare more than 1,000 time series indicators from the World Development Indicators.</span></p><div data-reactid="562"><ul class="meta" data-reactid="563"><li class="in come-level" data-reactid="564"><em data-reactid="565"><span data-reactid="566">Income level</span><!-- react-text: 567 -->: <!-- /react-text --></em><a class="toggle" data-reactid="568"><strong data-reactid="569">Lower middle income</strong></a></li><li class="region" data-reactid="570"><em data-reactid="571"><span data-reactid="572">Region</span><!-- react-text: 573 -->: <!-- /react-text --></em><a class="toggle" data-reactid="574"><strong data-reactid="575">Latin America & Caribbean</strong></a></li></ul><div class="buttonGroup" data-reactid="576"><div class="btn-item download" data-reactid="577"><h4 data-reactid="578"><span data-reactid="579">Download</span></h4><p data-reactid="580"><a href="https://web.archive.org/web/20220510201529/https://api.worldbank.org/v2/en/country/SLV?downloadformat=csv" data-reactid="581">CSV</a><a href="https://web.archive.org/web/20220510201529/https://api.worldbank.org/v2/en/country/SLV?downloadformat=xml" data-reactid="582">XML</a><a href="https://web.archive.org/web/20220510201529/https://api.worldbank.org/v2/en/country/SLV?downloadformat=excel" data-reactid="583">EXCEL</a></p></div><a class="btn-item databank" href="https://web.archive.org/web/20220510201529/http://databank.worldbank.org/data/reports.aspx?source=2&country=SLV" target="_blank" data-reactid="584"><h4 data-reactid="585"><span data-reactid="586">DataBank</span></h4><p data-reactid="587"><span data-reactid="588">Online tool for visualization and analysis</span></p></a><a class="links btn-item icon-flag" href="https://web.archive.org/web/20220510201529/http://databank.worldbank.org/data/Views/Reports/ReportWidgetCustom.aspx?Report_Name=CountryProfile&Id=b450fd57&tbar=y&dd=y&inf=n&zm=n&country=SLV" target="_blank" data-reactid="589"><h4 data-reactid="590">Country Profile</h4></a></div></div></aside></div></article><a class="top-link top-link--hide" href="#" id="js-top" data-reactid="591"><span class="screen-reader-text" data-reactid="592">Back to top</span></a></div></div><div data-reactid="593"><article class="details card projects" id="projects" data-reactid="594"><h2 data-reactid="595">Projects & Operations</h2><section class="minicard-area location" data-reactid="596"><div class="featured-indicators" data-reactid="597"><ul class="chart-list" data-reactid="598"><li class="location-detail-item " data-reactid="599"><a href="https://web.archive.org/web/20220510201529/https://projects.worldbank.org/en/projects-operations/projects-summary?searchTerm=&status_exact=Active^Closed&prodline_exact=GU^PE&countrycode_exact=SV" data-reactid="600"><span class="name" data-reactid="601">IBRD/IDA Operations Approved by Fiscal Year</span><div class="chart" data-reactid="602"><div class="chart-summry" data-reactid="603"><div data-reactid="604"><em data-reactid="605">$140.00 million</em><p data-reactid="606"><!-- react-text: 607 -->FY<!-- /react-text --><strong data-reactid="608">2012</strong></p></div></div><div class="chart-graph" data-reactid="609"><div class="d3-chart " data-reactid="610"></div><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="611"/></div></div></a></li><li class="location-detail-item " data-reactid="612"><a href="https://web.archive.org/web/20220510201529/https://projects.worldbank.org/en/projects-operations/projects-summary?searchTerm=&status_exact=Active^Closed&prodline_exact=GU^PE&countrycode_exact=SV" data-reactid="613"><span class="name" data-reactid="614">New and Supplemental Projects by Fiscal Year</span><div class="chart" data-reactid="615"><div class="chart-summry" data-reactid="616"><div data-reactid="617"><em data-reactid="618">2 </em><p data-reactid="619"><!-- react-text: 620 -->FY<!-- /react-text --><strong data-reactid="621">2012</strong></p></div></div><div class="chart-graph" data-reactid="622"><div class="d3-chart " data-reactid="623"></div><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="624"/></div></div></a></li></ul></div></section><aside class="sidebar" data-reactid="625"><p data-reactid="626">Search, browse and map more than 10,000 projects from 1947 to the present.</p><div data-reactid="627"><a class="button primary" href="https://web.archive.org/web/20220510201529/https://projects.worldbank.org/en/projects-operations/projects-summary?&searchTerm=&countrycode_exact=SV" target="_blank" data-reactid="628">Projects & Operations</a></div></aside></article><article class="details card finances" id="finances" data-reactid="629"><h2 data-reactid="630">Finances</h2><section class="minicard-area location" data-reactid="631"><div class="featured-indicators" data-reactid="632"><ul class="chart-list" data-reactid="633"><li class="location-detail-item " data-reactid="634"><a href="https://web.archive.org/web/20220510201529/https://financesapp.worldbank.org/countries/El Salvador" data-reactid="635"><span class="name" data-reactid="636">Summary of IBRD Loans</span><div class="chart" data-reactid="637"><div class="chart-summry" data-reactid="638"><div data-reactid="639"><em data-reactid="640">$1.18 million</em><p data-reactid="641"><!-- react-text: 642 -->Disbursed as of<!-- /react-text --><!-- react-text: 643 --> <!-- /react-text --><strong data-reactid="644">Aug 31, 2021</strong></p></div></div><div class="chart-graph" data-reactid="645"><div class="d3-chart " data-reactid="646"></div><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="647"/></div><div class="legend" data-reactid="648"><div data-reactid="649"><i style="background:#2B7CB5;" data-reactid="650"></i><!-- react-text: 651 -->Original Principal Amount<!-- /react-text --></div><div data-reactid="652"><i style="background:#4CBBC6;" data-reactid="653"></i><!-- react-text: 654 -->Cancelled Amount<!-- /react-text --></div><div data-reactid="655"><i style="background:#61A461;" data-reactid="656"></i><!-- react-text: 657 -->Disbursed Amount<!-- /react-text --></div><div data-reactid="658"><i style="background:#5A6E9D;" data-reactid="659"></i><!-- react-text: 660 -->Undisbursed Amount<!-- /react-text --></div><div data-reactid="661"><i style="background:#E2428B;" data-reactid="662"></i><!-- react-text: 663 -->Borrower's Obligation<!-- /react-text --></div></div></div></a></li></ul></div></section><aside class="sidebar" data-reactid="664"><p data-reactid="665">Explore raw data about the World Bank's finances - slice and dice datasets; visualize data; share it with other site users or through social networks; or take it home with a mobile app.</p><div data-reactid="666"><a class="button primary" href="https://web.archive.org/web/20220510201529/https://financesapp.worldbank.org/countries/El Salvador" target="_blank" data-reactid="667">Finances</a></div></aside></article><article class="details card surveys" id="surveys" data-reactid="668"><h2 data-reactid="669">Surveys</h2><section class="minicard-area location" data-reactid="670"><div class="featured-indicators" data-reactid="671"><ul class="chart-list" data-reactid="672"><li data-reactid="673"><span class="name" data-reactid="674">Most Recent Surveys</span><div class="survey-item" data-reactid="675"><a class="link" href="https://web.archive.org/web/20220510201529/http://microdata.worldbank.org/index.php/catalog/2938" target="_blank" data-reactid="676">KNOMAD-ILO Migration Costs Surveys 2015</a><p data-reactid="677"><span data-reactid="678">By</span><!-- react-text: 679 --> <!-- /react-text --><!-- react-text: 680 -->Global Knowledge Partnership on Migration and Development (KNOMAD) & International Labour Organization (ILO)<!-- /react-text --></p><em data-reactid="681"><span data-reactid="682">Submitted on:</span><!-- react-text: 683 --> <!-- /react-text --><!-- react-text: 684 -->01 Dec, 2017<!-- /react-text --></em></div><div class="survey-item" data-reactid="685"><a class="link" href="https://web.archive.org/web/20220510201529/http://microdata.worldbank.org/index.php/catalog/4446" target="_blank" data-reactid="686">World Bank Group Country Survey 2021</a><p data-reactid="687"><span data-reactid="688">By</span><!-- react-text: 689 --> <!-- /react-text --><!-- react-text: 690 -->Public Opinion Research Group<!-- /react-text --></p><em data-reactid="691"><span data-reactid="692">Submitted on:</span><!-- react-text: 693 --> <!-- /react-text --><!-- react-text: 694 -->13 Apr, 2022<!-- /react-text --></em></div><div class="survey-item" data-reactid="695"><a class="link" href="https://web.archive.org/web/20220510201529/http://microdata.worldbank.org/index.php/catalog/4059" target="_blank" data-reactid="696">COVID-19 High Frequency Phone Surveys 2020</a><p data-reactid="697"><span data-reactid="698">By</span><!-- react-text: 699 --> <!-- /react-text --><!-- react-text: 700 -->Sergio Olivieri, Gabriel Lara Ibarra, Jose Antonio Cuesta Leiva<!-- /react-text --></p><em data-reactid="701"><span data-reactid="702">Submitted on:</span><!-- react-text: 703 --> <!-- /react-text --><!-- react-text: 704 -->29 Sep, 2021<!-- /react-text --></em></div><div class="survey-item" data-reactid="705"><a class="link" href="https://web.archive.org/web/20220510201529/http://microdata.worldbank.org/index.php/catalog/3057" target="_blank" data-reactid="706">World Bank Group Country Survey 2018</a><p data-reactid="707"><span data-reactid="708">By</span><!-- react-text: 709 --> <!-- /react-text --><!-- react-text: 710 -->Public Opinion Research Group<!-- /react-text --></p><em data-reactid="711"><span data-reactid="712">Submitted on:</span><!-- react-text: 713 --> <!-- /react-text --><!-- react-text: 714 -->01 Aug, 2018<!-- /react-text --></em></div></li></ul></div></section><aside class="sidebar" data-reactid="715"><p data-reactid="716">Microdata Library, providing data on people living in developing countries, their institutions, their environment, their communities and the operation of their economies.</p><div data-reactid="717"><a class="button primary" href="https://web.archive.org/web/20220510201529/http://microdata.worldbank.org/index.php/catalog/?country[]=el+salvador" target="_blank" data-reactid="718">Microdata</a></div></aside></article><article class="details card human_capital_index" id="human_capital_index" data-reactid="719"><h2 data-reactid="720">Human Capital Index</h2><section class="minicard-area location" data-reactid="721"><div class="featured-indicators" data-reactid="722"><ul class="chart-list" data-reactid="723"><li class="location-detail-item no-link full-width " data-reactid="724"><span class="name" data-reactid="725"><span data-reactid="726">HCI and GDP Per Capita PPP (log scale, horizontal axis)</span></span><p class="subChartTitle" data-reactid="727"><!-- react-text: 728 --> <!-- /react-text --><span data-reactid="729">Productivity relative to benchmark of complete education and full health</span></p><p class="currentLocation" data-reactid="730"><!-- react-text: 731 --> <!-- /react-text --><!-- react-text: 732 -->El Salvador<!-- /react-text --><!-- react-text: 733 --> <!-- /react-text --></p><div class="chart" data-reactid="734"><span data-reactid="735"></span><div class="chart-graph" data-reactid="736"><div class="d3-chart " data-reactid="737"></div><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="738"/></div></div></li></ul></div></section><aside class="sidebar" data-reactid="739"><p data-reactid="740">The Human Capital Index (HCI) database provides data at the country level for each of the components of the Human Capital Index as well as for the overall index, disaggregated by gender. The index measures the amount of human capital that a child born today can expect to attain by age 18, given the risks of poor health and poor education that prevail in the country where she lives. It is designed to highlight how improvements in current health and education outcomes shape the productivity of the next generation of workers, assuming that children born today experience over the next 18 years the educational opportunities and health risks that children in this age range currently face.</p><div data-reactid="741"><a class="button primary" href="https://web.archive.org/web/20220510201529/http://www.worldbank.org/en/publication/human-capital" target="_blank" data-reactid="742">Human Capital Index</a></div></aside></article><article class="details card prospects" id="prospects" data-reactid="743"><h2 data-reactid="744">Global Economic Prospects - Forecasts</h2><section class="minicard-area location" data-reactid="745"><div class="featured-indicators" data-reactid="746"><ul class="chart-list" data-reactid="747"><li class="location-detail-item no-link " data-reactid="748"><span class="name" data-reactid="749">Annual GDP Growth (%)</span><!-- react-text: 750 --><!-- /react-text --><!-- react-text: 751 --><!-- /react-text --><div class="chart" data-reactid="752"><span data-reactid="753"></span><div class="chart-graph" data-reactid="754"><div class="d3-chart " data-reactid="755"></div><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="756"/></div><div class="legend" data-reactid="757"><div data-reactid="758"><i style="background:#2B7CB5;" data-reactid="759"></i><!-- react-text: 760 -->El Salvador<!-- /react-text --></div></div></div></li></ul></div></section><aside class="sidebar" data-reactid="761"><p data-reactid="762">Global Economic Prospects examines trends for the world economy and how they affect developing countries. The report includes country-specific three-year forecasts for major macroeconomic indicators, including commodity and financial markets.</p><div data-reactid="763"><a class="button primary" href="https://web.archive.org/web/20220510201529/http://www.worldbank.org/en/publication/global-economic-prospects#data" target="_blank" data-reactid="764">Global Economic Prospects</a></div></aside></article><article class="details card climate" id="climate" data-reactid="765"><h2 data-reactid="766">Climate Change</h2><section class="minicard-area location" data-reactid="767"><div class="featured-indicators" data-reactid="768"><ul class="chart-list" data-reactid="769"><li class="location-detail-item " data-reactid="770"><a href="https://web.archive.org/web/20220510201529/https://climateknowledgeportal.worldbank.org/country/El Salvador/climate-data-historical" data-reactid="771"><span class="name" data-reactid="772">Average Monthly Temperature 1901 - 2009 (C)</span><div class="chart" data-reactid="773"><span data-reactid="774"></span><div class="chart-graph" data-reactid="775"><div class="d3-chart " data-reactid="776"></div><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="777"/></div></div></a></li><li class="location-detail-item " data-reactid="778"><a href="https://web.archive.org/web/20220510201529/https://climateknowledgeportal.worldbank.org/country/El Salvador/climate-data-historical" data-reactid="779"><span class="name" data-reactid="780">Average Monthly Rainfall 1901 - 2009 (mm)</span><div class="chart" data-reactid="781"><span data-reactid="782"></span><div class="chart-graph" data-reactid="783"><div class="d3-chart " data-reactid="784"></div><img class="placeholder" src="/web/20220510201529im_/https://data.worldbank.org/assets/images/placeholder.png" data-reactid="785"/></div></div></a></li></ul></div></section><aside class="sidebar" data-reactid="786"><p data-reactid="787">The Climate Change Knowledge Portal (CCKP) provides climate data and climate-risk information for users to understand and communicate future climate change scenarios.</p><div data-reactid="788"><a class="button primary" href="https://web.archive.org/web/20220510201529/https://climateknowledgeportal.worldbank.org/country/el salvador/climate-data-historical" target="_blank" data-reactid="789">Climate Change Knowledge Portal</a></div></aside></article></div><article class="details card" data-reactid="790"></article></div><div id="hf_footer_wrapper" data-reactid="791"><div class="right-bottom" data-reactid="792"><a class="help-improve" href="https://web.archive.org/web/20220510201529/http://goo.gl/forms/Hw4zfOQufm" target="new" data-reactid="793"><span data-reactid="794">Help us improve this site</span></a><button class="fixed-button" data-reactid="795"><span data-reactid="796">Help / Feedback</span></button></div><div class="wrapper" data-reactid="797"><ul class="_bottom" data-reactid="798"><li class="_bottom_logo" data-reactid="799"><a href="https://web.archive.org/web/20220510201529/http://www.worldbank.org/" data-reactid="800"><img src="/web/20220510201529im_/https://data.worldbank.org/assets/images/logo-wbg-footer-en.svg" alt="The World Bank Working for a World Free of Poverty" data-reactid="801"/></a></li><li class="_ibrd" data-reactid="802"><a href="https://web.archive.org/web/20220510201529/http://www.worldbank.org/en/about/what-we-do/brief/ibrd" data-reactid="803">IBRD</a></li><li data-reactid="804"><a href="https://web.archive.org/web/20220510201529/http://www.worldbank.org/ida" data-reactid="805">IDA</a></li><li data-reactid="806"><a href="https://web.archive.org/web/20220510201529/http://www.ifc.org/" data-reactid="807">IFC</a></li><li data-reactid="808"><a href="https://web.archive.org/web/20220510201529/http://www.miga.org/" data-reactid="809">MIGA</a></li><li data-reactid="810"><a href="https://web.archive.org/web/20220510201529/http://icsid.worldbank.org/" data-reactid="811">ICSID</a></li></ul><div class="_bottom_left" data-reactid="812"><ul data-reactid="813"><li data-reactid="814"><a href="https://web.archive.org/web/20220510201529/http://www.worldbank.org/en/about/legal" data-reactid="815">Legal</a></li><li data-reactid="816"><a href="https://web.archive.org/web/20220510201529/https://www.worldbank.org/en/about/legal/privacy-notice" data-reactid="817">Privacy Notice</a></li><li data-reactid="818"><a href="https://web.archive.org/web/20220510201529/http://www.worldbank.org/en/access-to-information" data-reactid="819">Access to Information</a></li><li data-reactid="820"><a href="https://web.archive.org/web/20220510201529/http://www.worldbank.org/jobs" data-reactid="821">Jobs</a></li><li class="_last" data-reactid="822"><a href="https://web.archive.org/web/20220510201529/http://www.worldbank.org/contacts" data-reactid="823">Contact</a></li></ul><div class="_copyright" data-reactid="824"><!-- react-text: 825 -->© <!-- /react-text --><!-- react-text: 826 -->2022<!-- /react-text --><!-- react-text: 827 --> The World Bank Group, All Rights Reserved.<!-- /react-text --></div></div><div class="_bottom_right" data-reactid="828"><a href="https://web.archive.org/web/20220510201529/http://www.worldbank.org/fraudandcorruption?clear" data-reactid="829"><div data-reactid="830">REPORT FRAUD OR CORRUPTION</div></a></div></div><div class="privacy-widget hide" data-reactid="831"><p data-reactid="832"><!-- react-text: 833 -->This site uses cookies to optimize functionality and give you the best possible experience. 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The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","sourceNote","The HCI calculates the contributions of health and education to worker productivity. The final index score ranges from zero to one and measures the productivity as a future worker of child born today relative to the benchmark of full health and complete education.","^4Q","CC BY-4.0","fullname","Human Capital Index (HCI) (scale 0-1)","sourceOrganization","World Bank staff calculations based on the methodology described in World Bank (2018). https://openknowledge.worldbank.org/handle/10986/30498","shortname","Human Capital Index","IndicatorName","Human capital index (HCI) (scale 0-1)"]],"^4[",["^ ","^2","atom","^3","Human Capital Index (HCI) (scale 0-1)"],"id",["^ ","^2","atom","^3","HD.HCI.OVRL"],"last_year",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","PK","BD","ES","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","IT","AL","HT","CG","KI","MK","PT","AF","FR","CF","CR","GN","IL","CO","VN","PE","NA","ML","SS","PS","KM","IN","LS","LV","IQ","PW","SC","ZA","HN","GM","ZM","MT","CL","YE","PL","CD","JO","SK","NO","ZW","KN","NI","SV","SZ","AG","SL","AO","LU","GT","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","TO","KW","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","MD","LT","JM","PG","VU","AE","SN","BA","TJ","LC","VC","KE","MG","GA","KG","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","QA","GD","BT","TV","PH","BH","NE"]]],"relatedIndicators",["^ ","^2","atom","^3",["HD.HCI.OVRL.UB.MA","HD.HCI.OVRL.FE","HD.HCI.OVRL.UB","HD.HCI.OVRL.UB.FE","HD.HCI.OVRL.LB.FE","HD.HCI.OVRL.MA","HD.HCI.OVRL.LB.MA","HD.HCI.OVRL.LB"]],"^51",["^ ","^2","atom","^3","Human Capital Index"],"source",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","The HCI calculates the contributions of health and education to worker productivity. 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PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP at purchaser's prices is the sum of gross value added by all resident producers in the country plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2017 international dollars.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","GDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP at purchaser's prices is the sum of gross value added by all resident producers in the country plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2017 international dollars.","^4Q","CC BY-4.0","^4[","GDP per capita, PPP (constant 2017 international $)","^50","International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.","^51","GDP per capita, PPP","^52","GDP per capita, PPP (constant 2017 international $)"]],"^4[",["^ ","^2","atom","^3","GDP per capita, PPP (constant 2017 international $)"],"id",["^ ","^2","atom","^3","NY.GDP.PCAP.PP.KD"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","LB","MA","XK","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","ST","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","PS","KM","MV","IN","LS","DJ","LV","IQ","PW","KY","SC","ZA","LY","T3","BO","HN","GM","ZM","MT","CL","PL","TC","CD","T2","JO","SK","NO","ZW","XG","KN","NI","PR","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","MD","LT","T5","JM","PG","VU","AE","SN","BA","TJ","LC","VC","KE","MG","BM","GA","KG","NR","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","QA","GD","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["NY.GDP.PCAP.PP.CD","NY.GDP.PCAP.KD.ZG","NY.GDP.PCAP.KN","NY.GDP.PCAP.KD","NY.GDP.PCAP.CN","NY.GDP.PCAP.CD","NY.GDP.DEFL.KD.ZG","NY.GDP.PETR.RT.ZS","NY.GDP.COAL.RT.ZS"]],"^51",["^ ","^2","atom","^3","GDP per capita, PPP"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","GDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP at purchaser's prices is the sum of gross value added by all resident producers in the country plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2017 international dollars."],"^50",["^ ","^2","atom","^3","International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","3","^3","Economy & Growth"]]],"^58",["^ ","^2","atom","^3","dollar"]],"^O",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","1.2"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","Generalcomments","The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from around 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).","Unitofmeasure","%","^59","International comparisons of poverty estimates entail both conceptual and practical problems. Countries have different definitions of poverty, and consistent comparisons across countries can be difficult. Local poverty lines tend to have higher purchasing power in rich countries, where more generous standards are used, than in poor countries.\n\nSince World Development Report 1990, the World Bank has aimed to apply a common standard in measuring extreme poverty, anchored to what poverty means in the world's poorest countries. The welfare of people living in different countries can be measured on a common scale by adjusting for differences in the purchasing power of currencies. The commonly used $1 a day standard, measured in 1985 international prices and adjusted to local currency using purchasing power parities (PPPs), was chosen for World Development Report 1990 because it was typical of the poverty lines in low-income countries at the time. As differences in the cost of living across the world evolve, the international poverty line has to be periodically updated using new PPP price data to reflect these changes. The last change was in October 2015, when we adopted $1.90 as the international poverty line using the 2011 PPP. Prior to that, the 2008 update set the international poverty line at $1.25 using the 2005 PPP. Poverty measures based on international poverty lines attempt to hold the real value of the poverty line constant across countries, as is done when making comparisons over time. The $3.20 poverty line is derived from typical national poverty lines in countries classified as Lower Middle Income. The $5.50 poverty line is derived from typical national poverty lines in countries classified as Upper Middle Income.\n\nEarly editions of World Development Indicators used PPPs from the Penn World Tables to convert values in local currency to equivalent purchasing power measured in U.S dollars. Later editions used 1993, 2005, and 2011 consumption PPP estimates produced by the World Bank. The current extreme poverty line is set at $1.90 a day in 2011 PPP terms, which represents the mean of the poverty lines found in 15 of the poorest countries ranked by per capita consumption. The new poverty line maintains the same standard for extreme poverty - the poverty line typical of the poorest countries in the world - but updates it using the latest information on the cost of living in developing countries. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.\n\nThe statistics reported here are based on consumption data or, when unavailable, on income surveys.","^5<","Annual","Developmentrelevance","The World Bank Group is committed to reducing extreme poverty to 3 percent or less, globally, by 2030. Monitoring poverty is important on the global development agenda as well as on the national development agenda of many countries. The World Bank produced its first global poverty estimates for developing countries for World Development Report 1990: Poverty (World Bank 1990) using household survey data for 22 countries (Ravallion, Datt, and van de Walle 1991). Since then there has been considerable expansion in the number of countries that field household income and expenditure surveys. The World Bank maintains a database that is updated annually as new survey data become available (and thus may contain more recent data or revisions) and conducts a major reassessment of progress against poverty every year. The Poverty and Inequality Platform (PIP) is an interactive computational tool that allows users to replicate these internationally comparable $1.90, $3.20 and $5.50 a day global, regional and country-level poverty estimates and to compute poverty measures for custom country groupings and for different poverty lines. PIP also provides access to user-friendly dashboards with graphs and interactive maps that visualize trends in key poverty and inequality indicators for different regions and countries.","Shortdefinition","Poverty headcount ratio at $1.90 a day is the percentage of the population living on less than $1.90 a day at 2011 international prices.","^4V","Poverty: Poverty rates","^4W","World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.","^4Y","Poverty headcount ratio at $1.90 a day is the percentage of the population living on less than $1.90 a day at 2011 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Poverty headcount ratio at $1.90 a day is the percentage of the population living on less than $1.90 a day at 2011 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.","Relatedsourcelinks","World Bank, Poverty and Inequality Platform: https://pip.worldbank.org/","^4Q","CC BY-4.0","Limitationsandexceptions","Despite progress in the last decade, the challenges of measuring poverty remain. The timeliness, frequency, quality, and comparability of household surveys need to increase substantially, particularly in the poorest countries. The availability and quality of poverty monitoring data remains low in small states, countries with fragile situations, and low-income countries and even some middle-income countries. The low frequency and lack of comparability of the data available in some countries create uncertainty over the magnitude of poverty reduction. \n\nBesides the frequency and timeliness of survey data, other data quality issues arise in measuring household living standards. The surveys ask detailed questions on sources of income and how it was spent, which must be carefully recorded by trained personnel. Income is generally more difficult to measure accurately, and consumption comes closer to the notion of living standards. And income can vary over time even if living standards do not. But consumption data are not always available: the latest estimates reported here use consumption data for about two-thirds of countries.\n\nHowever, even similar surveys may not be strictly comparable because of differences in timing or in the quality and training of enumerators. Comparisons of countries at different levels of development also pose a potential problem because of differences in the relative importance of the consumption of nonmarket goods. The local market value of all consumption in kind (including own production, particularly important in underdeveloped rural economies) should be included in total consumption expenditure but may not be. Most survey data now include valuations for consumption or income from own production, but valuation methods vary.","^51","Poverty headcount ratio at $1.90 a day","^50","World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.","^4[","Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)","^52","Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)"]],"^4[",["^ ","^2","atom","^3","Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)"],"id",["^ ","^2","atom","^3","SI.POV.DDAY"],"^53",["^ ","^2","atom","^3",[2021,["ID"]]],"^54",["^ ","^2","atom","^3",["SI.POV.NAHC","SI.POV.LMIC.GP","SI.POV.MDIM","SI.POV.GINI","SI.POV.MDIM.MA","SI.POV.MDIM.17.XQ","SI.POV.UMIC","SI.POV.MDIM.HH","SI.POV.MDIM.FE"]],"^51",["^ ","^2","atom","^3","Poverty headcount ratio at $1.90 a day"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Poverty headcount ratio at $1.90 a day is the percentage of the population living on less than $1.90 a day at 2011 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions."],"^50",["^ ","^2","atom","^3","World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://pip.worldbank.org"],"^57",["^ ","^2","atom","^3",[["^ ","id","11","^3","Poverty "],["^ ","id","2","^3","Aid Effectiveness "],["^ ","id","19","^3","Climate Change"]]],"^58",["^ ","^2","atom","^3","dollar"]],"^P",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","1.3"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from around 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).","^5>","%","^59","Inequality in the distribution of income is reflected in the share of income or consumption accruing to a portion of the population ranked by income or consumption levels. The portions ranked lowest by personal income receive the smallest shares of total income.\n\nData on the distribution of income or consumption come from nationally representative household surveys. Where the original data from the household survey were available, they have been used to directly calculate the income or consumption shares by quintile. Otherwise, shares have been estimated from the best available grouped data.\n\nThe distribution data have been adjusted for household size, providing a more consistent measure of per capita income or consumption. \n\nThe year reflects the year in which the underlying household survey data were collected or, when the data collection period bridged two calendar years, the year data collection started.\n\nPercentage shares by quintile may not sum to 100 because of rounding.","^5<","Annual","^5?","The World Bank Group's goal of promoting shared prosperity has been defined as fostering income growth of the bottom 40 per cent of the welfare distribution in every country. Income distribution measures are important background indicators for shared prosperity.","^5@","Percentage share of income or consumption that accrues to the first (poorest) quintile.","^4V","Poverty: Income distribution","^4W","World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.","^4Y","Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.","^5A","World Bank, Poverty and Inequality Platform: https://pip.worldbank.org/","^4Q","CC BY-4.0","^5B","Despite progress in the last decade, the challenges of measuring poverty remain. The timeliness, frequency, quality, and comparability of household surveys need to increase substantially, particularly in the poorest countries. The availability and quality of poverty monitoring data remains low in small states, countries with fragile situations, and low-income countries and even some middle-income countries. The low frequency and lack of comparability of the data available in some countries create uncertainty over the magnitude of poverty reduction. \n\nBesides the frequency and timeliness of survey data, other data quality issues arise in measuring household living standards. The surveys ask detailed questions on sources of income and how it was spent, which must be carefully recorded by trained personnel. Income is generally more difficult to measure accurately, and consumption comes closer to the notion of living standards. And income can vary over time even if living standards do not. But consumption data are not always available: the latest estimates reported here use consumption data for about two-thirds of countries.\n\nHowever, even similar surveys may not be strictly comparable because of differences in timing or in the quality and training of enumerators. Comparisons of countries at different levels of development also pose a potential problem because of differences in the relative importance of the consumption of nonmarket goods. The local market value of all consumption in kind (including own production, particularly important in underdeveloped rural economies) should be included in total consumption expenditure but may not be. Most survey data now include valuations for consumption or income from own production, but valuation methods vary.","^51","Income share held by lowest 20%","^50","World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.","^4[","Income share held by lowest 20%","^52","Income share held by lowest 20%"]],"^4[",["^ ","^2","atom","^3","Income share held by lowest 20%"],"id",["^ ","^2","atom","^3","SI.DST.FRST.20"],"^53",["^ ","^2","atom","^3",[2021,["ID"]]],"^54",["^ ","^2","atom","^3",["SI.DST.05TH.20","SI.DST.02ND.20","SI.DST.10TH.10","SI.DST.03RD.20","SI.DST.FRST.10","SI.DST.FRST.20","SI.DST.04TH.20","SI.DST.FRST.10","SI.DST.03RD.20"]],"^51",["^ ","^2","atom","^3","Income share held by lowest 20%"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding."],"^50",["^ ","^2","atom","^3","World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://pip.worldbank.org"],"^57",["^ ","^2","atom","^3",[["^ ","id","11","^3","Poverty "],["^ ","id","2","^3","Aid Effectiveness "]]],"^58",["^ ","^2","atom","^3","percent"]],"^Q",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","1.3"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from around 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).","^5>","%","^59","The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.\n\nThe Gini index provides a convenient summary measure of the degree of inequality. Data on the distribution of income or consumption come from nationally representative household surveys. Where the original data from the household survey were available, they have been used to calculate the income or consumption shares by quintile. Otherwise, shares have been estimated from the best available grouped data.\n\nThe distribution data have been adjusted for household size, providing a more consistent measure of per capita income or consumption. \n\nThe year reflects the year in which the underlying household survey data were collected or, when the data collection period bridged two calendar years, the year data collection started.","^5<","Annual","^5?","The World Bank Group's goal of promoting shared prosperity has been defined as fostering income growth of the bottom 40 per cent of the welfare distribution in every country. Gini coefficients are important background information for shared prosperity.","^5@","The Gini index measures the extent to which the distribution of income or consumption among individuals or households within an economy deviates from a perfectly equal distribution. A Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.","^4V","Poverty: Income distribution","^4W","World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.","^4Y","Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.","^5A","World Bank, Poverty and Inequality Platform: https://pip.worldbank.org/","^4Q","CC BY-4.0","^5B","Gini coefficients are not unique. It is possible for two different Lorenz curves to give rise to the same Gini coefficient. Furthermore it is possible for the Gini coefficient of a developing country to rise (due to increasing inequality of income) while the number of people in absolute poverty decreases. This is because the Gini coefficient measures relative, not absolute, wealth.\n\nAnother limitation of the Gini coefficient is that it is not additive across groups, i.e. the total Gini of a society is not equal to the sum of the Gini's for its sub-groups. Thus, country-level Gini coefficients cannot be aggregated into regional or global Gini's, although a Gini coefficient can be computed for the aggregate.\n\nBecause the underlying household surveys differ in methods and types of welfare measures collected, data are not strictly comparable across countries or even across years within a country. Two sources of non-comparability should be noted for distributions of income in particular. First, the surveys can differ in many respects, including whether they use income or consumption expenditure as the living standard indicator. The distribution of income is typically more unequal than the distribution of consumption. In addition, the definitions of income used differ more often among surveys. Consumption is usually a much better welfare indicator, particularly in developing countries. Second, households differ in size (number of members) and in the extent of income sharing among members. And individuals differ in age and consumption needs. Differences among countries in these respects may bias comparisons of distribution. \n\nWorld Bank staff have made an effort to ensure that the data are as comparable as possible. Wherever possible, consumption has been used rather than income. Income distribution and Gini indexes for high-income economies are calculated directly from the Luxembourg Income Study database, using an estimation method consistent with that applied for developing countries.","^51","Gini index","^50","World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.","^4[","Gini index","^52","Gini index"]],"^4[",["^ ","^2","atom","^3","Gini index"],"id",["^ ","^2","atom","^3","SI.POV.GINI"],"^53",["^ ","^2","atom","^3",[2021,["ID"]]],"^54",["^ ","^2","atom","^3",["SI.POV.NAHC","SI.POV.LMIC.GP","SI.POV.DDAY","SI.POV.MDIM","SI.POV.MDIM.MA","SI.POV.MDIM.17.XQ","SI.POV.UMIC","SI.POV.MDIM.HH","SI.POV.MDIM.FE"]],"^51",["^ ","^2","atom","^3","Gini index"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality."],"^50",["^ ","^2","atom","^3","World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://pip.worldbank.org"],"^57",["^ ","^2","atom","^3",[["^ ","id","11","^3","Poverty "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^R",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","WV.3"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5:","Weighted average","^5<","Annual","^4V","Environment: Density & urbanization","^4W","United Nations Human Settlements Programme (UN-HABITAT)","^4Y","Population living in slums is the proportion of the urban population living in slum households. A slum household is defined as a group of individuals living under the same roof lacking one or more of the following conditions: access to improved water, access to improved sanitation, sufficient living area, housing durability, and security of tenure, as adopted in the Millennium Development Goal Target 7.D. The successor, the Sustainable Development Goal 11.1.1, considers inadequate housing (housing affordability) to complement the above definition of slums/informal settlements.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Population living in slums is the proportion of the urban population living in slum households. A slum household is defined as a group of individuals living under the same roof lacking one or more of the following conditions: access to improved water, access to improved sanitation, sufficient living area, housing durability, and security of tenure, as adopted in the Millennium Development Goal Target 7.D. The successor, the Sustainable Development Goal 11.1.1, considers inadequate housing (housing affordability) to complement the above definition of slums/informal settlements.","^4Q","CC BY-4.0","^4[","Population living in slums (% of urban population)","^50","United Nations Human Settlements Programme (UN-HABITAT)","^51","Population living in slums","^52","Population living in slums (% of urban population)"]],"^4[",["^ ","^2","atom","^3","Population living in slums (% of urban population)"],"id",["^ ","^2","atom","^3","EN.POP.SLUM.UR.ZS"],"^53",["^ ","^2","atom","^3",[2018,["BI","BJ","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","ME","EC","RO","GR","PK","ST","BD","SR","ES","GW","TG","BY","TR","UA","MW","AM","ZT","SY","SO","HT","CG","MK","PT","AF","CF","CR","GN","CO","VN","PE","NA","ML","SS","KM","MV","IN","LS","DJ","IQ","ZA","T3","BO","HN","GM","ZM","CL","YE","PL","CD","T2","JO","NO","ZW","XG","NI","SV","SZ","SL","AO","GT","GQ","ET","TT","CN","TZ","DK","PY","RW","FJ","T4","VE","BF","SA","MX","DO","MN","GH","AR","CA","IR","BZ","NG","CM","MM","SD","SE","KH","PA","LR","MD","T5","JM","SN","CU","BA","TJ","LC","KE","MG","GA","KG","UZ","UG","RS","SI","GY","CI","HU","EG","TH","MZ","NP","TD","GD","PH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["EN.POP.EL5M.ZS","EN.POP.EL5M.UR.ZS","EN.POP.DNST","EN.POP.EL5M.RU.ZS","EN.ATM.NOXE.KT.CE","EN.CO2.TRAN.ZS","EN.ATM.METH.AG.KT.CE","EN.FSH.THRD.NO","EN.ATM.METH.EG.KT.CE"]],"^51",["^ ","^2","atom","^3","Population living in slums"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Population living in slums is the proportion of the urban population living in slum households. A slum household is defined as a group of individuals living under the same roof lacking one or more of the following conditions: access to improved water, access to improved sanitation, sufficient living area, housing durability, and security of tenure, as adopted in the Millennium Development Goal Target 7.D. The successor, the Sustainable Development Goal 11.1.1, considers inadequate housing (housing affordability) to complement the above definition of slums/informal settlements."],"^50",["^ ","^2","atom","^3","United Nations Human Settlements Programme (UN-HABITAT)"],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","11","^3","Poverty "],["^ ","id","16","^3","Urban Development "],["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","percent"]],"^S",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","2.18"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Health: Mortality","^59","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.","^5:","Weighted average","^5<","Annual","^5?","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.","^4W","(1) United Nations Population Division. World Population Prospects: 2019 Revision, or derived from male and female life expectancy at birth from sources such as: (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.","^4Y","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.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","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.","^4Q","CC BY-4.0","^5B","Annual data series from United Nations Population Division's World Population Prospects are interpolated data from 5-year period data. Therefore they may not reflect real events as much as observed data.","^4[","Life expectancy at birth, total (years)","^50","(1) United Nations Population Division. World Population Prospects: 2019 Revision, or derived from male and female life expectancy at birth from sources such as: (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.","^51","Life expectancy at birth, total","^52","Life expectancy at birth, total (years)"]],"^4[",["^ ","^2","atom","^3","Life expectancy at birth, total (years)"],"id",["^ ","^2","atom","^3","SP.DYN.LE00.IN"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","VI","LB","MA","XK","TL","LA","MR","DE","ID","GE","TN","AW","BR","MF","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","SY","SO","IT","AL","HT","CG","KI","MK","JG","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","IN","LS","DJ","LV","TM","IQ","ER","SC","ZA","LY","T3","BO","FO","HN","GM","ZM","MT","CL","KP","YE","PL","CD","T2","JO","SK","NO","ZW","XG","NI","PR","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","GH","AR","CA","IR","BZ","NG","CM","MM","LI","SD","MY","WS","AT","SB","SE","KH","PA","LR","MD","LT","T5","JM","GL","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","BM","GA","KG","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","GU","QA","GD","BT","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["SP.DYN.LE00.MA.IN","SP.DYN.LE00.FE.IN","SP.DYN.TO65.FE.ZS","SP.DYN.CDRT.IN","SP.DYN.CONU.ZS","SP.DYN.AMRT.MA","SP.DYN.IMRT.IN","SP.DYN.IMRT.MA.IN","SP.DYN.CBRT.IN"]],"^51",["^ ","^2","atom","^3","Life expectancy at birth, total"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","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."],"^50",["^ ","^2","atom","^3","(1) United Nations Population Division. World Population Prospects: 2019 Revision, or derived from male and female life expectancy at birth from sources such as: (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^T",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","2.13"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Health: Disease prevention","^59","Governments in developing countries usually finance immunization against measles and diphtheria, pertussis (whooping cough), and tetanus (DTP) as part of the basic public health package. The data shown here are based on an assessment of national immunization coverage rates by the WHO and UNICEF. The assessment considered both administrative data from service providers and household survey data on children's immunization histories. Based on the data available, consideration of potential biases, and contributions of local experts, the most likely true level of immunization coverage was determined for each year.\n\nNotes on regional and global aggregates: When the vaccine is not introduced in a national immunization schedule, the missing value is assumed zero (or close to zero) in the relevant groups' averages.","^5:","Weighted average","^5<","Annual","^5?","Immunization is one of the most cost-effective public health interventions, and ??is an essential component for reducing under-five mortality. Immunization coverage estimates are used to monitor coverage of immunization services and to guide disease eradication and elimination efforts.","^4W","WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).","^4Y","Child immunization, measles, measures the percentage of children ages 12-23 months who received the measles vaccination before 12 months or at any time before the survey. A child is considered adequately immunized against measles after receiving one dose of vaccine.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Child immunization, measles, measures the percentage of children ages 12-23 months who received the measles vaccination before 12 months or at any time before the survey. A child is considered adequately immunized against measles after receiving one dose of vaccine.","^4Q","CC BY-4.0","^5B","In many developing countries a lack of precise information on the size of the cohort of one-year-old children makes immunization coverage difficult to estimate from program statistics.","^4[","Immunization, measles (% of children ages 12-23 months)","^50","WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).","^51","Immunization, measles","^52","Immunization, measles (% of children ages 12-23 months)"]],"^4[",["^ ","^2","atom","^3","Immunization, measles (% of children ages 12-23 months)"],"id",["^ ","^2","atom","^3","SH.IMM.MEAS"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","LB","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","SY","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","CF","CR","GN","IL","CO","BS","VN","PE","ML","SS","PS","KM","MV","IN","LS","DJ","LV","TM","SM","IQ","ER","PW","SC","ZA","LY","BO","HN","ZM","MT","CL","KP","YE","PL","CD","JO","SK","NO","ZW","KN","NI","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CZ","ET","EE","HR","RU","CN","TZ","FI","DK","PY","CH","RW","FJ","KZ","TO","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","AD","MD","LT","JM","PG","VU","AE","SN","CU","TJ","LC","VC","KE","MG","GA","KG","NR","AU","UZ","UG","IS","RS","SI","GY","CI","NL","HU","OM","GB","EG","TH","LK","MZ","NP","TD","QA","GD","BT","TV","PH","BH","NE"]]],"^54",["^ ","^2","atom","^3",["SH.IMM.HEPB","SH.IMM.IDPT","SH.MMR.DTHS","SH.STA.AIRP.MA.P5","SH.ALC.PCAP.FE.LI","SH.H2O.SMDW.ZS","SH.SVR.WAST.ZS","SH.STA.MMRT","SH.SGR.IRSK.ZS"]],"^51",["^ ","^2","atom","^3","Immunization, measles"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Child immunization, measles, measures the percentage of children ages 12-23 months who received the measles vaccination before 12 months or at any time before the survey. A child is considered adequately immunized against measles after receiving one dose of vaccine."],"^50",["^ ","^2","atom","^3","WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/)."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://www.who.int/immunization/monitoring_surveillance/en/"],"^57",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "]]],"^58",["^ ","^2","atom","^3","percent"]],"^U",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5:","Weighted average","^5<","Annual","^4V","Health: Risk factors","^4W","The Program in Global Surgery and Social Change (PGSSC) at Harvard Medical School (https://www.pgssc.org/)","^4Y","The proportion of population at risk of catastrophic expenditure when surgical care is required. Catastrophic expenditure is defined as direct out of pocket payments for surgical and anaesthesia care exceeding 10% of total income.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","The proportion of population at risk of catastrophic expenditure when surgical care is required. Catastrophic expenditure is defined as direct out of pocket payments for surgical and anaesthesia care exceeding 10% of total income.","^4Q","CC BY-4.0","^4[","Risk of catastrophic expenditure for surgical care (% of people at risk)","^50","The Program in Global Surgery and Social Change (PGSSC) at Harvard Medical School (https://www.pgssc.org/)","^51","Risk of catastrophic expenditure for surgical care","^52","Risk of catastrophic expenditure for surgical care (% of people at risk)"]],"^4[",["^ ","^2","atom","^3","Risk of catastrophic expenditure for surgical care (% of people at risk)"],"id",["^ ","^2","atom","^3","SH.SGR.CRSK.ZS"],"^53",["^ ","^2","atom","^3",[2020,["MU","BJ","LB","MA","TL","LA","MR","DE","ID","TN","BR","BW","EC","RO","GR","PK","BD","ES","GW","TG","BY","TR","US","IE","UA","MW","JP","AM","ZT","SY","IT","HT","CG","PT","CV","FR","CR","GN","CO","VN","PE","NA","ML","KM","IN","LS","LV","TM","SC","ZA","T3","BO","HN","GM","MT","CL","PL","CD","T2","JO","SK","NO","XG","NI","SV","SL","AO","LU","GT","AZ","CY","CZ","EE","HR","RU","CN","TZ","FI","DK","PY","CH","RW","KZ","T4","VE","BF","BG","BE","UY","MX","DO","GH","AR","CA","IR","BZ","NG","CM","SD","MY","AT","SE","PA","LR","MD","LT","T5","JM","PG","VU","AE","SN","BA","TJ","KE","MG","GA","KG","AU","DZ","UZ","UG","IS","RS","SI","T7","NL","HU","GB","EG","TH","LK","MZ","NP","KR","TD","BT","PH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["SH.SGR.IRSK.ZS","SH.SGR.PROC.P5","SH.MMR.DTHS","SH.STA.AIRP.MA.P5","SH.ALC.PCAP.FE.LI","SH.H2O.SMDW.ZS","SH.SVR.WAST.ZS","SH.STA.MMRT","SH.DYN.NCOM.FE.ZS"]],"^51",["^ ","^2","atom","^3","Risk of catastrophic expenditure for surgical care"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","The proportion of population at risk of catastrophic expenditure when surgical care is required. Catastrophic expenditure is defined as direct out of pocket payments for surgical and anaesthesia care exceeding 10% of total income."],"^50",["^ ","^2","atom","^3","The Program in Global Surgery and Social Change (PGSSC) at Harvard Medical School (https://www.pgssc.org/)"],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://www.pgssc.org/"],"^57",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "]]],"^58",["^ ","^2","atom","^3","percent"]],"^V",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","2.17"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^59","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.","^5:","Weighted average","^5<","Annual","^4V","Health: Risk factors","^4W","UNAIDS estimates.","^4Y","Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV.","^4Q","CC BY-4.0","^5B","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.","^4[","Prevalence of HIV, total (% of population ages 15-49)","^50","UNAIDS estimates.","^51","Prevalence of HIV, total","^52","Prevalence of HIV, total (% of population ages 15-49)"]],"^4[",["^ ","^2","atom","^3","Prevalence of HIV, total (% of population ages 15-49)"],"id",["^ ","^2","atom","^3","SH.DYN.AIDS.ZS"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","PK","ST","SR","ES","GW","TG","BY","IE","UA","MW","JP","AM","SY","SO","IT","AL","HT","CG","PT","AF","CV","CF","CR","GN","CO","BS","VN","PE","NA","ML","SS","KM","LS","DJ","ER","ZA","LY","T3","BO","HN","GM","ZM","CL","YE","CD","T2","JO","ZW","XG","NI","SV","SZ","SL","AO","GT","GQ","AZ","ET","EE","HR","TT","TZ","DK","PY","CH","RW","FJ","KZ","VE","NZ","BF","SA","UY","MX","DO","MN","GH","AR","IR","BZ","NG","CM","SD","MY","KH","PA","LR","MD","JM","PG","AE","SN","CU","TJ","KE","MG","GA","KG","AU","DZ","UZ","UG","SG","IS","RS","SI","GY","CI","NL","EG","TH","LK","MZ","NP","TD","QA","BT","PH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["SH.DYN.AIDS.FE.ZS","SH.DYN.NCOM.FE.ZS","SH.DYN.2024","SH.DYN.MORT.MA","SH.DYN.1014","SH.DYN.0509","SH.DYN.NMRT","SH.DYN.MORT.FE","SH.DYN.NCOM.ZS"]],"^51",["^ ","^2","atom","^3","Prevalence of HIV, total"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV."],"^50",["^ ","^2","atom","^3","UNAIDS estimates."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "],["^ ","id","2","^3","Aid Effectiveness "]]],"^58",["^ ","^2","atom","^3","percent"]],"^W",["^ ","^4Q",["^ ","^2","atom","^3","Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://creativecommons.org/licenses/by-nc/4.0/"],"^4S",["^ ","^2","atom","^3","3.8"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Environment: Emissions","^59","Carbon dioxide emissions, largely by-products of energy production and use, account for the largest share of greenhouse gases, which are associated with global warming. Anthropogenic carbon dioxide emissions result primarily from fossil fuel combustion and cement manufacturing. In combustion different fossil fuels release different amounts of carbon dioxide for the same level of energy use: oil releases about 50 percent more carbon dioxide than natural gas, and coal releases about twice as much. Cement manufacturing releases about half a metric ton of carbon dioxide for each metric ton of cement produced. Data for carbon dioxide emissions include gases from the burning of fossil fuels and cement manufacture, but excludes emissions from land use such as deforestation.","^5:","Weighted average","^5<","Annual","^5?","Carbon dioxide (CO2) is naturally occurring gas fixed by photosynthesis into organic matter. A byproduct of fossil fuel combustion and biomass burning, it is also emitted from land use changes and other industrial processes. It is the principal anthropogenic greenhouse gas that affects the Earth's radiative balance. It is the reference gas against which other greenhouse gases are measured, thus having a Global Warming Potential of 1.\n\nBurning of carbon-based fuels since the industrial revolution has rapidly increased concentrations of atmospheric carbon dioxide, increasing the rate of global warming and causing anthropogenic climate change. It is also a major source of ocean acidification since it dissolves in water to form carbonic acid.\n\nThe addition of man-made greenhouse gases to the Atmosphere disturbs the earth's radiative balance. This is leading to an increase in the earth's surface temperature and to related effects on climate, sea level rise and world agriculture. Emissions of CO2 are from burning oil, coal and gas for energy use, burning wood and waste materials, and from industrial processes such as cement production.\n\nThe carbon dioxide emissions of a country are only an indicator of one greenhouse gas. For a more complete idea of how a country influences climate change, gases such as methane and nitrous oxide should be taken into account. This is particularly important in agricultural economies.\n\nEmission intensity is the average emission rate of a given pollutant from a given source relative to the intensity of a specific activity. Emission intensities are also used to compare the environmental impact of different fuels or activities. The related terms - emission factor and carbon intensity - are often used interchangeably.\n\nThe environmental effects of carbon dioxide are of significant interest. Carbon dioxide (CO2) makes up the largest share of the greenhouse gases contributing to global warming and climate change. Converting all other greenhouse gases (methane (CH4), nitrous oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), sulphur hexafluoride (SF6)) to carbon dioxide (or CO2) equivalents makes it possible to compare them and to determine their individual and total contributions to global warming. The Kyoto Protocol, an environmental agreement adopted in 1997 by many of the parties to the United Nations Framework Convention on Climate Change (UNFCCC), is working towards curbing CO2 emissions globally.","^4W","Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions. See SP.POP.TOTL for the denominator's source.","^4Y","Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring.","^4R","https://web.archive.org/web/20220510201529/https://creativecommons.org/licenses/by-nc/4.0/","^4Z","Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring.","^4Q","Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","^5B","The U.S. Department of Energy's Carbon Dioxide Information Analysis Center (CDIAC) calculates annual anthropogenic emissions from data on fossil fuel consumption (from the United Nations Statistics Division's World Energy Data Set) and world cement manufacturing (from the U.S. Department of Interior's Geological Survey, USGS 2011). Although estimates of global carbon dioxide emissions are probably accurate within 10 percent (as calculated from global average fuel chemistry and use), country estimates may have larger error bounds. Trends estimated from a consistent time series tend to be more accurate than individual values.\n\nEach year the CDIAC recalculates the entire time series since 1949, incorporating recent findings and corrections. Estimates exclude fuels supplied to ships and aircraft in international transport because of the difficulty of apportioning the fuels among benefiting countries.","^4[","CO2 emissions (metric tons per capita)","^50","Data for up to 1990 are sourced from Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States. Data from 1990 are CAIT data: Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions. See SP.POP.TOTL for the denominator's source.","^51","CO2 emissions","^52","CO2 emissions (metric tons per capita)"]],"^4[",["^ ","^2","atom","^3","CO2 emissions (metric tons per capita)"],"id",["^ ","^2","atom","^3","EN.ATM.CO2E.PC"],"^53",["^ ","^2","atom","^3",[2018,["MU","BI","BJ","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","ST","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","SY","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","KM","MV","IN","LS","DJ","LV","TM","IQ","ER","PW","SC","ZA","LY","T3","BO","HN","GM","ZM","MT","CL","KP","YE","PL","CD","T2","JO","SK","NO","ZW","XG","KN","NI","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","LI","SD","MY","WS","AT","SB","SE","KH","PA","LR","AD","MD","LT","T5","JM","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","GA","KG","NR","AU","DZ","UZ","UG","SG","IS","RS","SI","T7","GY","CI","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","QA","GD","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["EN.ATM.CO2E.LF.KT","EN.ATM.CO2E.PP.GD.KD","EN.ATM.CO2E.KT","EN.ATM.CO2E.EG.ZS","EN.ATM.CO2E.SF.ZS","EN.ATM.CO2E.KD.GD","EN.ATM.CO2E.PP.GD","EN.ATM.CO2E.GF.KT","EN.ATM.CO2E.SF.KT"]],"^51",["^ ","^2","atom","^3","CO2 emissions"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring."],"^50",["^ ","^2","atom","^3","Data for up to 1990 are sourced from Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States. Data from 1990 are CAIT data: Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions. See SP.POP.TOTL for the denominator's source."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://www.climatewatchdata.org/ghg-emissions"],"^57",["^ ","^2","atom","^3",[["^ ","id","19","^3","Climate Change"],["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^X",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","3.13"],"^4T",["^ ","^2","atom","^3",2],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5:","Weighted average","^5<","Annual","^4V","Environment: Energy production & use","^4W","World Bank, Sustainable Energy for All (SE4ALL) database from the SE4ALL Global Tracking Framework led jointly by the World Bank, International Energy Agency, and the Energy Sector Management Assistance Program.","^4Y","Renewable energy consumption is the share of renewables energy in total final energy consumption.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Renewable energy consumption is the share of renewables energy in total final energy consumption.","^4Q","CC BY-4.0","^4[","Renewable energy consumption (% of total final energy consumption)","^50","World Bank, Sustainable Energy for All (SE4ALL) database from the SE4ALL Global Tracking Framework led jointly by the World Bank, International Energy Agency, and the Energy Sector Management Assistance Program.","^51","Renewable energy consumption","^52","Renewable energy consumption (% of total final energy consumption)"]],"^4[",["^ ","^2","atom","^3","Renewable energy consumption (% of total final energy consumption)"],"id",["^ ","^2","atom","^3","EG.FEC.RNEW.ZS"],"^53",["^ ","^2","atom","^3",[2018,["MU","BI","BJ","VI","LB","MA","XK","TL","LA","MR","DE","ID","GE","TN","AW","BR","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","SX","BY","TR","US","IE","UA","BN","MW","JP","AM","SY","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","AS","IN","LS","DJ","LV","TM","IQ","ER","PW","KY","SC","ZA","LY","BO","FO","HN","GM","ZM","MT","CL","KP","YE","PL","TC","CD","JO","SK","NO","ZW","KN","NI","PR","SV","IM","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","LI","SD","MY","WS","VG","AT","SB","SE","KH","PA","LR","AD","MP","MD","LT","JM","GL","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","BM","GA","GI","KG","NR","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","GU","QA","GD","BT","TV","PH","BH","NE"]]],"^54",["^ ","^2","atom","^3",["EG.ELC.PETR.ZS","EG.CFT.ACCS.RU.ZS","EG.USE.COMM.CL.ZS","EG.ELC.RNWX.KH","EG.ELC.NUCL.ZS","EG.ELC.LOSS.ZS","EG.CFT.ACCS.UR.ZS","EG.USE.PCAP.KG.OE","EG.ELC.ACCS.UR.ZS"]],"^51",["^ ","^2","atom","^3","Renewable energy consumption"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Renewable energy consumption is the share of renewables energy in total final energy consumption."],"^50",["^ ","^2","atom","^3","World Bank, Sustainable Energy for All (SE4ALL) database from the SE4ALL Global Tracking Framework led jointly by the World Bank, International Energy Agency, and the Energy Sector Management Assistance Program."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","5","^3","Energy & Mining "],["^ ","id","19","^3","Climate Change"],["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","percent"]],"^Y",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","3.11"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Environment: Land use","^59","Elevation data used to generate the low elevation coastal zones come from the SRTM3 Enhanced Global Map developed by ISCIENCES. The ISCIENCES digital elevation model was created using NASA’s Jet Propulsion Laboratory Shuttle Radar Topography Mission data processed to 3 arc-seconds (SRTM3).","^5:","Weighted Average","^5<","Annual","^5?","Scientists use the terms climate change and global warming to refer to the gradual increase in the Earth's surface temperature that has accelerated since the industrial revolution and especially over the past two decades. Most global warming has been caused by human activities that have changed the chemical composition of the atmosphere through a buildup of greenhouse gases - primarily carbon dioxide, methane, and nitrous oxide. Rising global temperatures will cause sea level rise and alter local climate conditions, affecting forests, crop yields, and water supplies, and may affect human health, animals, and many types of ecosystems.","^4W","Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.","^4Y","Land area below 5m is the percentage of total land where the elevation is 5 meters or less.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Land area below 5m is the percentage of total land where the elevation is 5 meters or less.","^4Q","CC BY-4.0","^5B","The 2007 Intergovernmental Panel on Climate Change's (IPCC) assessment report concluded that global warming is “unequivocal” and gave the strongest warning yet about the role of human activities. The report estimated that sea levels would rise approximately 49 centimeters over the next 100 years, with a range of uncertainty of 20–86 centimeters. That will lead to increased coastal flooding through direct inundation and a higher base for storm surges, allowing flooding of larger areas and higher elevations. Climate model simulations predict an increase in average surface air temperature of about 2.5°C by 2100 (Kattenberg and others 1996) and increase of “killer” heat waves during the warm season (Karl and others 1997).","^4[","Land area where elevation is below 5 meters (% of total land area)","^50","Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.","^51","Land area where elevation is below 5 meters","^52","Land area where elevation is below 5 meters (% of total land area)"]],"^4[",["^ ","^2","atom","^3","Land area where elevation is below 5 meters (% of total land area)"],"id",["^ ","^2","atom","^3","AG.LND.EL5M.ZS"],"^53",["^ ","^2","atom","^3",[2010,["MU","BJ","VI","LB","MA","TL","LA","MR","DE","ID","GE","TN","AW","BR","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","ZT","MC","SY","SO","IT","AL","HT","CG","KI","MK","PT","CV","FR","CR","GN","IL","CO","BS","VN","PE","NA","ML","PS","KM","MV","AS","IN","DJ","LV","SM","IQ","ER","PW","KY","SC","ZA","LY","T3","FO","HN","GM","MT","CL","KP","YE","PL","TC","CD","T2","JO","NO","XG","KN","NI","PR","SV","IM","SZ","AG","SL","AO","LU","GT","GQ","CY","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","CH","FJ","T4","TO","KW","VE","FM","NZ","BG","SA","BE","UY","MX","DO","DM","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","VG","SB","SE","KH","PA","LR","MP","MD","LT","T5","JM","GL","PG","VU","AE","SN","CU","BA","LC","VC","KE","MG","BM","GA","GI","NR","AU","DZ","SG","IS","HK","SI","T7","GY","CI","MO","NL","OM","GB","EG","TH","LK","MZ","KR","GU","QA","GD","TV","PH","BH","T6"]]],"^54",["^ ","^2","atom","^3",["AG.LND.EL5M.RU.ZS","AG.LND.EL5M.UR.ZS","AG.LND.EL5M.UR.K2","AG.LND.EL5M.RU.K2","AG.LND.AGRI.ZS","AG.LND.FRST.ZS","AG.LND.AGRI.K2","AG.LND.TOTL.K2","AG.LND.TOTL.UR.K2"]],"^51",["^ ","^2","atom","^3","Land area where elevation is below 5 meters"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Land area below 5m is the percentage of total land where the elevation is 5 meters or less."],"^50",["^ ","^2","atom","^3","Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2"],"^57",["^ ","^2","atom","^3",[["^ ","id","19","^3","Climate Change"],["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","percent"]],"^Z",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","5.8"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Public Sector: Conflict & fragility","^59","The definitions used to produce data are in line with the homicide definition used in the UNODC Homicide Statistics dataset. On the basis of these selection criteria and subject to data availability, a long and continuous time series including recent data on homicide counts and rates has been identified or created at country level. Data included in the dataset correspond to the original value provided by the source of origin, since no statistical procedure or modeling was used to change collected values or to create new or revised figures.\n\nThe intentional killing of a human being by another is the ultimate crime. Its indisputable physical consequences manifested in the form of a dead body also make it the most categorical and calculable. All existing data sources on intentional homicides, both at national and international level, stem from either criminal justice or public health systems. In the former case, data are generated by law enforcement or criminal justice authorities in the process of recording and investigating a crime event. In the latter, data are produced by health authorities certifying the cause of death of an individual.\n \nCriminal justice data were collected through UNODC regular collections of crime data from Member States, through publicly available data produced by national government sources and from data compiled by other international and regional agencies, including from Interpol, Eurostat, the Organization of American States and UNICEF. Public health data on homicides were mainly derived from databases on deaths by cause disseminated by the World Health Organization (WHO).\n\nThe inclusion of recent data was given a higher priority in the selection process than the length of the time series (number of years covered). An analysis of official reports and research literature is regularly carried out to verify homicide data used by government agencies and the scientific community.\n\nAs a result of the data collection and validation process, in many countries several homicide datasets have become available from different or multiple sources. Therefore, data series have been selected to provide the most appropriate reference counts.","^5:","Weighted average","^5<","Annual","^5?","In some regions, organized crime, drug trafficking and the violent cultures of youth gangs are predominantly responsible for the high levels of homicide. There has been a sharp increase in homicides in some countries, particularly in Central America, are making the activities of organized crime and drug trafficking more visible. Greater use of firearms is often associated with the illicit activities of organized criminal groups, which are often linked to drug trafficking.\n\nKnowledge of the patterns and causes of violent crime are crucial to forming preventive strategies. Young males are the group most affected by violent crime in all regions, particularly in the Americas. Yet women of all ages are the victims of intimate partner and family-related violence in all regions and countries. Indeed, in many of them, it is within the home where a woman is most likely to be killed.\n\nData on intentional homicides are from the United Nations Office on Drugs and Crime (UNODC), which uses a variety of national and international sources on homicides - primarily criminal justice sources as well as public health data from the World Health Organization (WHO) and the Pan American Health Organization - and the United Nations Survey of Crime Trends and Operations of Criminal Justice Systems to present accurate and comparable statistics. The UNODC defines homicide as \"unlawful death purposefully inflicted on a person by another person.\" This definition excludes deaths arising from armed conflict.","^4W","UN Office on Drugs and Crime's International Homicide Statistics database.","^4Y","Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.","^4Q","CC BY-4.0","^5B","Statistics reported to the United Nations in the context of its various surveys on crime levels and criminal justice trends are incidents of victimization that have been reported to the authorities in any given country. That means that this data is subject to the problems of accuracy of all official crime data. The survey results provide an overview of trends and interrelationships between various parts of the criminal justice system to promote informed decision-making in administration, nationally and internationally.\n\nThe degree to which different societies apportion the level of culpability to acts resulting in death is also subject to variation. Consequently, the comparison between countries and regions of \"intentional homicide\", or unlawful death purposefully inflicted on a person by another person, is also a comparison of the extent to which different countries deem that a killing be classified as such, as well as the capacity of their legal systems to record it. Caution should therefore be applied when evaluating and comparing homicide data.","^4[","Intentional homicides (per 100,000 people)","^50","UN Office on Drugs and Crime's International Homicide Statistics database.","^51","Intentional homicides","^52","Intentional homicides (per 100,000 people)"]],"^4[",["^ ","^2","atom","^3","Intentional homicides (per 100,000 people)"],"id",["^ ","^2","atom","^3","VC.IHR.PSRC.P5"],"^53",["^ ","^2","atom","^3",[2018,["MU","LB","MA","XK","DE","GE","BR","ME","EC","RO","GR","BB","PK","BD","ES","BY","TR","US","IE","JP","AM","SY","IT","AL","HT","MK","PT","AF","CV","FR","CR","CO","PS","IN","LV","PW","HN","MT","CL","PL","SK","NO","PR","SV","GT","AZ","CY","EE","HR","RU","CN","FI","DK","PY","CH","VE","BG","UY","MX","DO","MN","AR","CA","LI","AT","SE","PA","MD","LT","JM","BA","LC","KE","KG","AU","UG","SG","IS","HK","RS","SI","GY","MO","NL","OM","GB","LK","KR","BT","PH"]]],"^54",["^ ","^2","atom","^3",["VC.IHR.PSRC.FE.P5","VC.IHR.PSRC.MA.P5","VC.IDP.TOCV","VC.IDP.NWDS","VC.IDP.NWCV","VC.BTL.DETH"]],"^51",["^ ","^2","atom","^3","Intentional homicides"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded."],"^50",["^ ","^2","atom","^3","UN Office on Drugs and Crime's International Homicide Statistics database."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","13","^3","Public Sector "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^[",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","6.13"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Social Protection & Labor: Migration","^59","The United Nations High Commissioner for Refugees (UNHCR) collects and maintains data on refugees in their Statistical Online Population Database. The refugee data does not include Palestinian refugees residing in areas under the mandate of the United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA). However, the Palestinian refugees living outside the UNRWA areas of operation do fall under the responsibility of UNHCR and are thus included in the Statistical Online Population Database.\n\nRefugees are an important part of migrant stock. The refugee data refer to people who have crossed an international border to find sanctuary and have been granted refugee or refugee-like status or temporary protection. There are three main providers of refugee data: governmental agencies, UNHCR field offices and NGOs. Registrations, together with other sources - including estimates and surveys - are the main sources of refugee data. In the absence of Government estimates, UNHCR has estimated the refugee population in most industrialized countries, based on recognition of asylum-seekers. Prior to 2007, resettled refugees were included in these estimates.\n\nUp to and including 2006, to ensure that the refugee population in countries that lack a refugee registry is reflected in the global statistics, the number of refugees was estimated by UNHCR based on the arrival of refugees through resettlement programmes and the individual recognition of refugees over a 10-year (Europe and, since 2006, the United States) or 5-year (the United States before 2006, Canada and Oceania) period. Starting with the 2007 data, the cut-off period has been harmonized and now covers a 10-year period for Europe and non-European countries. Resettled refugees, however, are excluded from the refugee estimates in all countries.\n\nThe 2007-2011 refugee population category includes people in a refugee-like situation, most of who were previously included in the Others of concern group. This sub-category is descriptive in nature and includes groups of persons who are outside their country or territory of origin and who face protection risks similar to those of refugees, but for whom refugee status has, for practical or other reasons, not been ascertained.\n\nAsylum seekers - people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers - and internally displaced people - who are often confused with refugees - are not included in the data. Unlike refugees, internally displaced people remain under the protection of their own government, even if their reason for fleeing was similar to that of refugees.\n\nPalestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict.","^5:","Sum","^5<","Annual","^4[","Refugee population by country or territory of asylum","^5@","Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers -- people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of asylum is the country where an asylum claim was filed and granted.","^5?","Movement of people, most often through migration, is a significant part of global integration. Migrants contribute to the economies of both their host country and their country of origin. Yet reliable statistics on migration are difficult to collect and are often incomplete, making international comparisons a challenge.\n\nIn most developed countries, refugees are admitted for resettlement and are routinely included in population counts by censuses or population registers. Globally, the number of refugees at end 2010 was 10.55 million, including 597,300 people considered by UNHCR to be in a refugee-like situation; developing countries hosted 8.5 million refugees, or 80 percent of the global refugee population.\n\nGlobal migration patterns have become increasingly complex in modern times, involving not just refugees, but also millions of economic migrants. But refugees and migrants, even if they often travel in the same way, are fundamentally different, and for that reason are treated very differently under modern international law. Migrants, especially economic migrants, choose to move in order to improve the future prospects of themselves and their families. Refugees have to move if they are to save their lives or preserve their freedom. They have no protection from their own state - indeed it is often their own government that is threatening to persecute them. If other countries do not let them in, and do not help them once they are in, then they may be condemning them to death - or to an intolerable life in the shadows, without sustenance and without rights.","^4W","United Nations High Commissioner for Refugees (UNHCR) and UNRWA through UNHCR's Refugee Data Finder at https://www.unhcr.org/refugee-statistics/.","^4Y","Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of asylum is the country where an asylum claim was filed and granted.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of asylum is the country where an asylum claim was filed and granted.","^4Q","CC BY-4.0","^5B","There are difficulties in collecting accurate statistics on refugees. Many refugees may not be aware of the need to register or may choose not to do so, and administrative records tend to overestimate the number of refugees because it is easier to register than to de-register. In addition, most industrialized countries lack a refugee register and are thus not in a position to provide accurate information on the number of refugees residing in their country. Many countries have registries that are only maintained at the local level, so the data is not centralized.\n\nAsylum-seekers are persons who have applied for asylum or refugee status, but who have not yet received a final decision on their application. A distinction should be made between the number of asylum-seekers who have submitted an individual request during a certain period (\"asylum applications submitted\") and the number of asylum-seekers whose individual asylum request has not yet been decided at a certain date (\"backlog of undecided or pending cases\"). Caution should therefore be exercised when interpreting data on asylum-seekers.\n\nThe United Nations High Commissioner for Refugees (UNHCR) collects and maintains data on refugees, except for Palestinian refugees residing in areas under the mandate of the United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA). Registration is voluntary, and estimates by the UNRWA are not an accurate count of the Palestinian refugee population. The data shows estimates of refugees collected by the UNHCR, complemented by estimates of Palestinian refugees under the UNRWA mandate. Thus, the aggregates differ from those published by the UNHCR.\n\nStatistics concerning the former USSR have been reported under the Russian Federation, those concerning the former Czechoslovakia have been reported under the Czech Republic and those concerning the former Yugoslavia and 'Serbia and Montenegro' have been reported under Serbia. Since 2006, separate statistics are available for Serbia and for Montenegro. Prior to 2006, no separate statistics are available and both countries have been reported under Serbia.","Notesfromoriginalsource","The refugee population category from 2007 onwards also includes people in a refugee-like situation, most of who were previously included in the Others of concern group. This sub-category is descriptive in nature and includes groups of persons who are outside their country or territory of origin and who face protection risks similar to those of refugees, but for whom refugee status has, for practical or other reasons, not been ascertained.\n\nStatistics concerning the former USSR have been reported under the Russian Federation, those concerning the former Czechoslovakia have been reported under the Czech Republic and those concerning the former Yugoslavia and 'Serbia and Montenegro' have been reported under Serbia. Since 2006, separate statistics are available for Serbia and for Montenegro. Prior to 2006, no separate statistics are available and both countries have been reported under Serbia.","^50","United Nations High Commissioner for Refugees (UNHCR) and UNRWA through UNHCR's Refugee Data Finder at https://www.unhcr.org/refugee-statistics/.","^51","Refugee population by country or territory of asylum","^52","Refugee population by country or territory of asylum"]],"^4[",["^ ","^2","atom","^3","Refugee population by country or territory of asylum"],"id",["^ ","^2","atom","^3","SM.POP.REFG"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","LB","MA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","PK","BD","SR","ES","GW","TG","SX","BY","TR","US","IE","UA","MW","JP","AM","ZT","MC","SY","SO","IT","AL","HT","CG","MK","PT","AF","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","IN","LS","DJ","LV","TM","IQ","ER","KY","ZA","LY","T3","BO","HN","GM","ZM","MT","CL","YE","PL","TC","CD","T2","JO","SK","NO","ZW","XG","NI","SV","SZ","SL","AO","LU","GT","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","KW","VE","NZ","BF","BG","SA","BE","UY","MX","DO","MN","GH","AR","CA","IR","BZ","NG","CM","LI","SD","MY","AT","SE","PA","LR","MD","LT","T5","JM","PG","AE","SN","CU","BA","TJ","KE","MG","GA","KG","NR","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","QA","GD","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["SM.POP.REFG.OR","SM.POP.NETM","SM.POP.TOTL.ZS","SM.POP.TOTL","SP.POP.2529.FE.5Y","SP.POP.DPND","SP.POP.65UP.TO.ZS","SP.POP.65UP.TO","SP.POP.65UP.FE.IN"]],"^51",["^ ","^2","atom","^3","Refugee population by country or territory of asylum"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of asylum is the country where an asylum claim was filed and granted."],"^50",["^ ","^2","atom","^3","United Nations High Commissioner for Refugees (UNHCR) and UNRWA through UNHCR's Refugee Data Finder at https://www.unhcr.org/refugee-statistics/."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://www.unhcr.org/refugee-statistics/"],"^57",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "],["^ ","id","15","^3","Social Development "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^10",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","5.7"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Data for some countries are based on partial or uncertain data or rough estimates.","^59","Military data on manpower represent quantitative assessment of the personnel strengths of the world's armed forces. The numbers are based on the most accurate data available to, or, on the best estimate that can be made by the International Institute for Strategic Studies (IISS) at the time of its annual publication. The IISS collects the data from national governments.\n\nArmed forces personnel comprise all servicemen and women on full-time duty (including conscripts and long-term assignments from the Reserves). Reserve describes formations and units not fully manned or operational in peacetime, but which can be mobilized by recalling reservists in an emergency. IISS estimates of effective reservist strengths on the numbers available within five years of completing full-time service, unless there is good evidence that obligations are enforced for longer. Although paramilitary forces whose training, organization, equipment and control suggest they may be used to support or replace regular military forces, they are not included in the armed forces personnel. Home Guard units are counted as paramilitary.\n\nData are shown as percentage of total labor force. According to International Labour Organization (ILO armed forces occupations include all jobs held by members of the armed forces. Members of the armed forces are those personnel who are currently serving in the armed forces, including auxiliary services, whether on a voluntary or compulsory basis, and who are not free to accept civilian employment and are subject to military discipline. Included are regular members of the army, navy, air force and other military services, as well as conscripts enrolled for military training or other service for a specified period. Excluded are persons in civilian employment of government establishments concerned with defense issues; police (other than military police); customs inspectors and members of border or other armed civilian services; persons who have been temporarily withdrawn from civilian life for a short period of military training or retraining, according to national requirements, and members of military reserves not currently on active service.","^5:","Weighted average","^5<","Annual","^5?","Although national defense is an important function of government and security from external threats that contributes to economic development, high military expenditures for defense or civil conflicts burden the economy and may impede growth. Data on military expenditures are a rough indicator of the portion of national resources used for military activities and of the burden on the economy.\n\nComparisons of military spending among countries should take into account the many factors that influence perceptions of vulnerability and risk, including historical and cultural traditions, the length of borders that need defending, the quality of relations with neighbors, and the role of the armed forces in the body politic.","^4W","International Institute for Strategic Studies, The Military Balance.","^4Y","Armed forces personnel are active duty military personnel, including paramilitary forces if the training, organization, equipment, and control suggest they may be used to support or replace regular military forces. Labor force comprises all people who meet the International Labour Organization's definition of the economically active population.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Armed forces personnel are active duty military personnel, including paramilitary forces if the training, organization, equipment, and control suggest they may be used to support or replace regular military forces. Labor force comprises all people who meet the International Labour Organization's definition of the economically active population.","^4V","Public Sector: Defense & arms trade","^4Q","CC BY-4.0","^5B","Data exclude personnel not on active duty, therefore they underestimate the share of the labor force working for the defense establishment. Governments rarely report the size of their armed forces, so such data typically come from intelligence sources. Unless otherwise indicated, reserves includes all reservists committed to rejoining the armed forces in an emergency, except when national reserve service obligations following conscription last almost a lifetime.","^51","Armed forces personnel","^50","International Institute for Strategic Studies, The Military Balance.","^4[","Armed forces personnel (% of total labor force)","^52","Armed forces personnel (% of total labor force)"]],"^4[",["^ ","^2","atom","^3","Armed forces personnel (% of total labor force)"],"id",["^ ","^2","atom","^3","MS.MIL.TOTL.TF.ZS"],"^53",["^ ","^2","atom","^3",[2019,["MU","BI","BJ","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","SY","SO","IT","AL","HT","CG","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","IN","LS","DJ","LV","TM","IQ","ER","ZA","T3","BO","HN","GM","ZM","MT","CL","KP","YE","PL","CD","T2","JO","SK","NO","ZW","XG","NI","SV","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","KW","VE","NZ","BF","BG","SA","BE","UY","MX","DO","MN","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","AT","SE","KH","PA","LR","MD","LT","T5","JM","PG","AE","SN","CU","BA","TJ","KE","MG","GA","KG","AU","DZ","UZ","UG","SG","IS","RS","SI","T7","GY","CI","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","QA","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["MS.MIL.TOTL.P1","MS.MIL.XPND.GD.ZS","MS.MIL.XPND.CD","MS.MIL.XPND.CN","MS.MIL.XPND.ZS","MS.MIL.MPRT.KD","MS.MIL.XPRT.KD"]],"^51",["^ ","^2","atom","^3","Armed forces personnel"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Armed forces personnel are active duty military personnel, including paramilitary forces if the training, organization, equipment, and control suggest they may be used to support or replace regular military forces. Labor force comprises all people who meet the International Labour Organization's definition of the economically active population."],"^50",["^ ","^2","atom","^3","International Institute for Strategic Studies, The Military Balance."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","13","^3","Public Sector "]]],"^58",["^ ","^2","atom","^3","percent"]],"^11",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Public Sector: Conflict & fragility","^59","Internally displaced persons are \"persons or groups of persons who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of or in order to avoid the effects of armed conflict, situations of generalized violence, violations of human rights or natural or human-made disasters, and who have not crossed an internationally recognized state border.\" Internally displaced people are often confused with refugees. Unlike refugees, internally displaced people remain under the protection of their own government, even if their reason for fleeing was similar to that of refugees. Refugees are people who have crossed an international border to find sanctuary and have been granted refugee or refugee-like status or temporary protection.","^5:","Sum","^5<","Annual","^5?","Although all persons affected by conflict and/or human rights violations suffer, displacement from one's place of residence may make the internally displaced particularly vulnerable. Following are some of the factors that are likely to increase the need for protection:\n \n1) Internally displaced persons may be in transit from one place to another, may be in hiding, may be forced toward unhealthy or inhospitable environments, or face other circumstances that make them especially vulnerable.\n \n2) The social organization of displaced communities may have been destroyed or damaged by the act of physical displacement; family groups may be separated or disrupted; women may be forced to assume non-traditional roles or face particular vulnerabilities. Internally displaced populations, and especially groups like children, the elderly, or pregnant women, may experience profound psychosocial distress related to displacement.\n \n3) Removal from sources of income and livelihood may add to physical and psychosocial vulnerability for displaced people.\n \n4) Schooling for children and adolescents may be disrupted.\n \n5) Internal displacement to areas where local inhabitants are of different groups or inhospitable may increase risk to internally displaced communities; internally displaced persons may face language barriers during displacement.\n \n6) The condition of internal displacement may raise the suspicions of or lead to abuse by armed combatants, or other parties to conflict.\n \n7) Internally displaced persons may lack identity documents essential to receiving benefits or legal recognition; in some cases, fearing persecution, displaced persons have sometimes got rid of such documents.\n \n8) According to the Internal Displacement Monitoring Centre (IDMC) tens of millions people around the world are displaced every year within their countries by conflict, human rights violations, natural disasters and climate change. Unlike refugees who cross national borders and benefit from an established system of international protection and assistance, those forcibly uprooted within their own countries, by armed conflict, large-scale development projects, systematic violations of human rights, or natural disasters, lack predictable structures of support. Internal displacement has become one of the more pressing humanitarian, human rights and security problems confronting affected countries and the international community at large.\n \nGlobal migration patterns have become increasingly complex in modern times, involving not just refugees, but also millions of economic migrants. But refugees and migrants, even if they often travel in the same way, are fundamentally different, and for that reason are treated very differently under modern international law. Migrants, especially economic migrants, choose to move in order to improve the future prospects of themselves and their families. Refugees have to move if they are to save their lives or preserve their freedom. They have no protection from their own state - indeed it is often their own government that is threatening to persecute them. If other countries do not let them in, and do not help them once they are in, then they may be condemning them to death - or to an intolerable life in the shadows, without sustenance and without rights.","^4W","The Internal Displacement Monitoring Centre (http://www.internal-displacement.org/)","^4Y","Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. \"New Displacement\" refers to the number of new cases or incidents of displacement recorded over the specified year, rather than the number of people displaced. This is done because people may have been displaced more than once.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. \"New Displacement\" refers to the number of new cases or incidents of displacement recorded over the specified year, rather than the number of people displaced. This is done because people may have been displaced more than once.","^4Q","CC BY-4.0","^5B","Please note that most of the figures are estimates. The definition highlights two issues:\n\n1) The coercive or otherwise involuntary character of movement. The definition mentions some of the most common causes of involuntary movements, such as armed conflict, violence, human rights violations and disasters. These causes have in common that they give no choice to people but to leave their homes and deprive them of the most essential protection mechanisms, such as community networks, access to services, livelihoods. Displacement severely affects the physical, socio-economic and legal safety of people and should be systematically regarded as an indicator of potential vulnerability.\n \n2) The fact that such movement takes place within national borders. Unlike refugees, who have been deprived of the protection of their state of origin, IDPs remain legally under the protection of national authorities of their country of habitual residence. IDPs should therefore enjoy the same rights as the rest of the population. The Guiding Principles on Internal Displacement remind national authorities and other relevant actors of their responsibility to ensure that IDPs' rights are respected and fulfilled, despite the vulnerability generated by their displacement.","^4[","Internally displaced persons, new displacement associated with disasters (number of cases)","^50","The Internal Displacement Monitoring Centre (http://www.internal-displacement.org/)","^51","Internally displaced persons, new displacement associated with disasters","^52","Internally displaced persons, new displacement associated with disasters (number of cases)"]],"^4[",["^ ","^2","atom","^3","Internally displaced persons, new displacement associated with disasters (number of cases)"],"id",["^ ","^2","atom","^3","VC.IDP.NWDS"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","MA","TL","LA","MR","DE","ID","GE","TN","BR","BW","EC","RO","GR","PK","NC","BD","ES","PF","TR","US","IE","UA","MW","JP","ZT","SY","SO","IT","HT","PT","AF","CV","FR","CF","CR","GN","IL","CO","VN","PE","NA","ML","SS","PS","AS","IN","DJ","IQ","ZA","T3","BO","HN","GM","ZM","CL","KP","YE","PL","CD","T2","JO","SK","NO","ZW","XG","NI","PR","SV","AO","LU","GT","CZ","ET","HR","TT","RU","CN","TZ","PY","CH","RW","FJ","KZ","T4","TO","VE","NZ","BF","SA","UY","MX","DO","MN","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","SB","KH","PA","LR","T5","JM","PG","VU","AE","SN","CU","BA","TJ","KE","MG","BM","GA","AU","DZ","UZ","UG","IS","HK","RS","T7","CI","MO","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","BT","TV","PH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["VC.IDP.TOCV","VC.IDP.NWCV","VC.IHR.PSRC.FE.P5","VC.IHR.PSRC.MA.P5","VC.BTL.DETH","VC.IHR.PSRC.P5"]],"^51",["^ ","^2","atom","^3","Internally displaced persons, new displacement associated with disasters"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. \"New Displacement\" refers to the number of new cases or incidents of displacement recorded over the specified year, rather than the number of people displaced. This is done because people may have been displaced more than once."],"^50",["^ ","^2","atom","^3","The Internal Displacement Monitoring Centre (http://www.internal-displacement.org/)"],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://www.internal-displacement.org/"],"^57",["^ ","^2","atom","^3",[["^ ","id","13","^3","Public Sector "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^12",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Environment: Land use","^59","Elevation data used to generate the low elevation coastal zones come from the SRTM3 Enhanced Global Map developed by ISCIENCES. The ISCIENCES digital elevation model was created using NASA’s Jet Propulsion Laboratory Shuttle Radar Topography Mission data processed to 3 arc-seconds (SRTM3).","^5:","Sum","^5<","Annual","^5?","Scientists use the terms climate change and global warming to refer to the gradual increase in the Earth's surface temperature that has accelerated since the industrial revolution and especially over the past two decades. Most global warming has been caused by human activities that have changed the chemical composition of the atmosphere through a buildup of greenhouse gases - primarily carbon dioxide, methane, and nitrous oxide. Rising global temperatures will cause sea level rise and alter local climate conditions, affecting forests, crop yields, and water supplies, and may affect human health, animals, and many types of ecosystems.","^4W","Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.","^4Y","Urban land area below 5m is the total urban land area in square kilometers where the elevation is 5 meters or less.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Urban land area below 5m is the total urban land area in square kilometers where the elevation is 5 meters or less.","^4Q","CC BY-4.0","^4[","Urban land area where elevation is below 5 meters (sq. km)","^50","Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.","^51","Urban land area where elevation is below 5 meters","^52","Urban land area where elevation is below 5 meters (sq. km)"]],"^4[",["^ ","^2","atom","^3","Urban land area where elevation is below 5 meters (sq. km)"],"id",["^ ","^2","atom","^3","AG.LND.EL5M.UR.K2"],"^53",["^ ","^2","atom","^3",[2010,["MU","BJ","VI","LB","MA","TL","LA","MR","DE","ID","GE","TN","AW","BR","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","ZT","MC","SY","SO","IT","AL","HT","CG","KI","MK","PT","CV","FR","CR","GN","IL","CO","BS","VN","PE","NA","ML","PS","KM","MV","AS","IN","DJ","LV","SM","IQ","ER","PW","KY","SC","ZA","LY","T3","FO","HN","GM","MT","CL","KP","YE","PL","TC","CD","T2","JO","NO","XG","KN","NI","PR","SV","IM","SZ","AG","SL","AO","LU","GT","GQ","CY","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","CH","FJ","T4","TO","KW","VE","FM","NZ","BG","SA","BE","UY","MX","DO","DM","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","VG","SB","SE","KH","PA","LR","MP","MD","LT","T5","JM","GL","PG","VU","AE","SN","CU","BA","LC","VC","KE","MG","BM","GA","GI","NR","AU","DZ","SG","IS","HK","SI","T7","GY","CI","MO","NL","OM","GB","EG","TH","LK","MZ","KR","GU","QA","GD","TV","PH","BH","T6"]]],"^54",["^ ","^2","atom","^3",["AG.LND.EL5M.UR.ZS","AG.LND.EL5M.RU.ZS","AG.LND.EL5M.RU.K2","AG.LND.EL5M.ZS","AG.LND.AGRI.ZS","AG.LND.FRST.ZS","AG.LND.AGRI.K2","AG.LND.TOTL.K2","AG.LND.TOTL.UR.K2"]],"^51",["^ ","^2","atom","^3","Urban land area where elevation is below 5 meters"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Urban land area below 5m is the total urban land area in square kilometers where the elevation is 5 meters or less."],"^50",["^ ","^2","atom","^3","Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2"],"^57",["^ ","^2","atom","^3",[["^ ","id","19","^3","Climate Change"],["^ ","id","16","^3","Urban Development "],["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^13",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","3.12"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Environment: Density & urbanization","^59","Urban population refers to people living in urban areas as defined by national statistical offices. The indicator is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects.\n\nPercentages urban are the numbers of persons residing in an area defined as ''urban'' per 100 total population. They are calculated by the Statistics Division of the United Nations Department of Economic and Social Affairs. Particular caution should be used in interpreting the figures for percentage urban for different countries.\n\nCountries differ in the way they classify population as \"urban\" or \"rural.\" The population of a city or metropolitan area depends on the boundaries chosen.","^5:","Weighted average","^5<","Annual","^5?","Explosive growth of cities globally signifies the demographic transition from rural to urban, and is associated with shifts from an agriculture-based economy to mass industry, technology, and service.\n\nIn principle, cities offer a more favorable setting for the resolution of social and environmental problems than rural areas. Cities generate jobs and income, and deliver education, health care and other services. Cities also present opportunities for social mobilization and women's empowerment.","^4W","United Nations Population Division. World Urbanization Prospects: 2018 Revision.","^4Y","Urban population refers to people living in urban areas as defined by national statistical offices. The data are collected and smoothed by United Nations Population Division.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Urban population refers to people living in urban areas as defined by national statistical offices. The data are collected and smoothed by United Nations Population Division.","^4Q","CC BY-4.0","^5B","Aggregation of urban and rural population may not add up to total population because of different country coverage. There is no consistent and universally accepted standard for distinguishing urban from rural areas, in part because of the wide variety of situations across countries.\n\nMost countries use an urban classification related to the size or characteristics of settlements. Some define urban areas based on the presence of certain infrastructure and services. And other countries designate urban areas based on administrative arrangements. Because of national differences in the characteristics that distinguish urban from rural areas, the distinction between urban and rural population is not amenable to a single definition that would be applicable to all countries.\n\nEstimates of the world's urban population would change significantly if China, India, and a few other populous nations were to change their definition of urban centers. \n\nBecause the estimates of city and metropolitan area are based on national definitions of what constitutes a city or metropolitan area, cross-country comparisons should be made with caution.","^4[","Urban population (% of total population)","^50","United Nations Population Division. World Urbanization Prospects: 2018 Revision.","^51","Urban population","^52","Urban population (% of total population)"]],"^4[",["^ ","^2","atom","^3","Urban population (% of total population)"],"id",["^ ","^2","atom","^3","SP.URB.TOTL.IN.ZS"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","VI","LB","MA","TL","LA","MR","DE","ID","GE","TN","AW","BR","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","SX","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","MC","SY","SO","IT","AL","HT","CG","KI","MK","JG","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","AS","IN","LS","DJ","LV","TM","SM","IQ","PW","KY","SC","ZA","LY","T3","BO","FO","HN","GM","ZM","MT","CL","KP","YE","PL","TC","CD","T2","JO","SK","NO","ZW","XG","KN","NI","PR","SV","IM","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","LI","SD","MY","WS","VG","AT","SB","SE","KH","PA","LR","AD","MP","MD","LT","T5","JM","GL","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","BM","GA","GI","KG","NR","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","GU","QA","GD","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["SP.URB.TOTL","SP.URB.GROW","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"]],"^51",["^ ","^2","atom","^3","Urban population"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Urban population refers to people living in urban areas as defined by national statistical offices. The data are collected and smoothed by United Nations Population Division."],"^50",["^ ","^2","atom","^3","United Nations Population Division. World Urbanization Prospects: 2018 Revision."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","19","^3","Climate Change"],["^ ","id","16","^3","Urban Development "]]],"^58",["^ ","^2","atom","^3","percent"]],"^14",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","4.12"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^59","The IMF's Government Finance Statistics Manual 2014, harmonized with the 2008 SNA, recommends an accrual accounting method, focusing on all economic events affecting assets, liabilities, revenues, and expenses, not just those represented by cash transactions. It accounts for all changes in stocks, so stock data at the end of an accounting period equal stock data at the beginning of the period plus flows over the period. The 1986 manual considered only debt stocks.\n\nGovernment finance statistics are reported in local currency. Many countries report government finance data by fiscal year; see country metadata for information on fiscal year end by country.","^5:","Weighted average","^5<","Annual","^4V","Public Sector: Government finance: Deficit & financing","^4W","International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.","^4Y","Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.","^4Q","CC BY-4.0","^5B","For most countries central government finance data have been consolidated into one account, but for others only budgetary central government accounts are available. Countries reporting budgetary data are noted in the country metadata. Because budgetary accounts may not include all central government units (such as social security funds), they usually provide an incomplete picture. In federal states the central government accounts provide an incomplete view of total public finance.\n\nData on government revenue and expense are collected by the IMF through questionnaires to member countries and by the Organisation for Economic Co-operation and Development (OECD). Despite IMF efforts to standardize data collection, statistics are often incomplete, untimely, and not comparable across countries.","^4[","Central government debt, total (% of GDP)","^50","International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.","^51","Central government debt, total","^52","Central government debt, total (% of GDP)"]],"^4[",["^ ","^2","atom","^3","Central government debt, total (% of GDP)"],"id",["^ ","^2","atom","^3","GC.DOD.TOTL.GD.ZS"],"^53",["^ ","^2","atom","^3",[2017,["MW"]]],"^54",["^ ","^2","atom","^3",["GC.DOD.TOTL.CN","GC.XPN.TOTL.GD.ZS","GC.TAX.TOTL.CN","GC.TAX.YPKG.CN","GC.REV.GOTR.ZS","GC.XPN.TOTL.CN","GC.XPN.INTP.ZS","GC.REV.SOCL.ZS","GC.TAX.IMPT.ZS"]],"^51",["^ ","^2","atom","^3","Central government debt, total"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year."],"^50",["^ ","^2","atom","^3","International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","3","^3","Economy & Growth"],["^ ","id","13","^3","Public Sector "]]],"^58",["^ ","^2","atom","^3","percent"]],"^15",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Public Sector: Policy & institutions","^59","Weighted average of all statistical performance indicators. Scores range from 0-100 with 100 representing the best score.","^5:","Weighted average","^5<","Annual","^4[","Statistical performance indicators (SPI): Overall score (scale 0-100)","^5@","The SPI overall score is a composite score measuing country performance across five pillars: data use, data services, data products, data sources, and data infrastructure.","^5?","The new Statistical Performance Indicators (SPI) will replace the Statistical Capacity Index (SCI), which the World Bank has regularly published since 2004. Although the goals are the same, to offer a better tool to measure the statistical systems of countries, the new SPI framework has expanded into new areas including in the areas of data use, administrative data, geospatial data, data services, and data infrastructure. The SPI provides a framework that can help countries measure where they stand in several dimensions and offers an ambitious measurement agenda for the international community.","^4W","Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)","^4Y","The SPI overall score is a composite score measuing country performance across five pillars: data use, data services, data products, data sources, and data infrastructure. The new Statistical Performance Indicators (SPI) will replace the Statistical Capacity Index (SCI), which the World Bank has regularly published since 2004. Although the goals are the same, to offer a better tool to measure the statistical systems of countries, the new SPI framework has expanded into new areas including in the areas of data use, administrative data, geospatial data, data services, and data infrastructure. The SPI provides a framework that can help countries measure where they stand in several dimensions and offers an ambitious measurement agenda for the international community.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","The SPI overall score is a composite score measuing country performance across five pillars: data use, data services, data products, data sources, and data infrastructure. The new Statistical Performance Indicators (SPI) will replace the Statistical Capacity Index (SCI), which the World Bank has regularly published since 2004. Although the goals are the same, to offer a better tool to measure the statistical systems of countries, the new SPI framework has expanded into new areas including in the areas of data use, administrative data, geospatial data, data services, and data infrastructure. The SPI provides a framework that can help countries measure where they stand in several dimensions and offers an ambitious measurement agenda for the international community.","^4Q","CC BY-4.0","^5C","The SPI draws on a variety of data sources to create the indicators. A guiding principle is that the SPI rely on openly available data from credible sources, such as international organizations and NSO websites. The SPI team used web scraping, accessed publicly available databases, or in some cases visited NSO websites to acquire the information. While greater detail for each specific indicator can be found in the technical documentation describing each indicator.","^50","Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)","^51","Statistical performance indicators","^52","Statistical performance indicators (SPI): Overall score (scale 0-100)"]],"^4[",["^ ","^2","atom","^3","Statistical performance indicators (SPI): Overall score (scale 0-100)"],"id",["^ ","^2","atom","^3","IQ.SPI.OVRL"],"^53",["^ ","^2","atom","^3",[2019,["MU","BI","BJ","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","PK","ST","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","MW","JP","AM","SY","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","MV","IN","LS","DJ","LV","TM","IQ","SC","ZA","LY","BO","HN","GM","ZM","MT","CL","YE","PL","CD","JO","SK","NO","ZW","NI","SV","SZ","SL","AO","LU","GT","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","MD","LT","JM","PG","VU","AE","SN","BA","TJ","LC","VC","KE","MG","GA","KG","AU","DZ","UZ","UG","SG","IS","RS","SI","GY","CI","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","QA","BT","PH","BH","NE"]]],"^54",["^ ","^2","atom","^3",["IQ.SPI.PIL4","IQ.SPI.PIL5","IQ.SPI.PIL2","IQ.SPI.PIL3","IQ.SPI.PIL1","IQ.CPA.PROP.XQ","IQ.SCI.MTHD","IQ.CPA.TRAD.XQ","IQ.CPA.PADM.XQ"]],"^51",["^ ","^2","atom","^3","Statistical performance indicators"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","The SPI overall score is a composite score measuing country performance across five pillars: data use, data services, data products, data sources, and data infrastructure. The new Statistical Performance Indicators (SPI) will replace the Statistical Capacity Index (SCI), which the World Bank has regularly published since 2004. Although the goals are the same, to offer a better tool to measure the statistical systems of countries, the new SPI framework has expanded into new areas including in the areas of data use, administrative data, geospatial data, data services, and data infrastructure. The SPI provides a framework that can help countries measure where they stand in several dimensions and offers an ambitious measurement agenda for the international community."],"^50",["^ ","^2","atom","^3","Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)"],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/dataset/statistical-performance-indicators"],"^57",["^ ","^2","atom","^3",[["^ ","id","13","^3","Public Sector "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^16",["^ ","^4Q",["^ ","^2","atom","^3","Use and distribution of these data are subject to Stockholm International Peace Research Institute (SIPRI) terms and conditions."],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://www.sipri.org/about/terms-and-conditions"],"^4S",["^ ","^2","atom","^3","5.7"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Data for some countries are based on partial or uncertain data or rough estimates.","^59","SIPRI military expenditure data includes military and civil personnel, including retirement pensions and social services for military personnel; operation and maintenance; procurement; military research and development; and military aid (in the military expenditures of the donor country). Excluded are civil defense and current expenditures for previous military activities, such as for veterans' benefits, demobilization, and weapons conversion and destruction. This definition cannot be applied for all countries, however, since that would require more detailed information than is available about military budgets and off-budget military expenditures (for example, whether military budgets cover civil defense, reserves and auxiliary forces, police and paramilitary forces, and military pensions).\n\nSIPRI data for the most recent years include two types of estimate which apply to all countries: (a) figures for the most recent years are for adopted budgets, budget estimates or revised estimates, and are revised, more often than not, in subsequent years; and (b) the deflator used for the latest year in the series is an estimate SIPRI's primary source of military expenditure data is official data provided by national governments. These data are derived from budget documents, defense white papers, and other public documents from official government agencies, including government responses to questionnaires sent by SIPRI, the UNODA, or the Organization for Security and Co-operation in Europe. Secondary sources include international statistics, such as those of NATO and the IMF's Government Finance Statistics Yearbook. Other secondary sources include country reports of the Economist Intelligence Unit, country reports by IMF staff, and specialist journals and newspapers.\n\nThe data on military expenditures as a share of GDP are SIPRI estimates. The SIPRI military expenditure figures are presented on a calendar-year basis. The only exception is the USA, for which statistics report data on a fiscal-year basis. Calendar-year data are calculated on the assumption of an even rate of expenditure throughout the fiscal year. The ratio of military expenditure to GDP is calculated in domestic currency at current prices and for calendar years.\n\nThe SIPRI military expenditure figures are presented on a calendar-year basis. The only exception is the USA, for which statistics report data on a fiscal-year basis. Calendar-year data are calculated on the assumption of an even rate of expenditure throughout the fiscal year.","^5:","Weighted average","^5<","Annual","^5?","Although national defense is an important function of government and security from external threats that contributes to economic development, high military expenditures for defense or civil conflicts burden the economy and may impede growth. Data on military expenditures as a share of gross domestic product (GDP) are a rough indicator of the portion of national resources used for military activities and of the burden on the economy.\n\nData on military expenditures as a share of gross domestic product (GDP) are a rough indicator of the portion of national resources used for military activities and of the burden on the economy. As an \"input\" measure military expenditures are not directly related to the \"output\" of military activities, capabilities, or security. Comparisons of military spending among countries should take into account the many factors that influence perceptions of vulnerability and risk, including historical and cultural traditions, the length of borders that need defending, the quality of relations with neighbors, and the role of the armed forces in the body politic.","^4W","Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.","^4Y","Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense projects; paramilitary forces, if these are judged to be trained and equipped for military operations; and military space activities. Such expenditures include military and civil personnel, including retirement pensions of military personnel and social services for personnel; operation and maintenance; procurement; military research and development; and military aid (in the military expenditures of the donor country). Excluded are civil defense and current expenditures for previous military activities, such as for veterans' benefits, demobilization, conversion, and destruction of weapons. This definition cannot be applied for all countries, however, since that would require much more detailed information than is available about what is included in military budgets and off-budget military expenditure items. (For example, military budgets might or might not cover civil defense, reserves and auxiliary forces, police and paramilitary forces, dual-purpose forces such as military and civilian police, military grants in kind, pensions for military personnel, and social security contributions paid by one part of government to another.)","^4R","https://web.archive.org/web/20220510201529/https://www.sipri.org/about/terms-and-conditions","^4Z","Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense projects; paramilitary forces, if these are judged to be trained and equipped for military operations; and military space activities. Such expenditures include military and civil personnel, including retirement pensions of military personnel and social services for personnel; operation and maintenance; procurement; military research and development; and military aid (in the military expenditures of the donor country). Excluded are civil defense and current expenditures for previous military activities, such as for veterans' benefits, demobilization, conversion, and destruction of weapons. This definition cannot be applied for all countries, however, since that would require much more detailed information than is available about what is included in military budgets and off-budget military expenditure items. (For example, military budgets might or might not cover civil defense, reserves and auxiliary forces, police and paramilitary forces, dual-purpose forces such as military and civilian police, military grants in kind, pensions for military personnel, and social security contributions paid by one part of government to another.)","^4V","Public Sector: Defense & arms trade","^4Q","Use and distribution of these data are subject to Stockholm International Peace Research Institute (SIPRI) terms and conditions.","^5B","Data on military expenditures are not compiled using standard definitions and are often incomplete and unreliable due to countries' reluctance to disclose military information. Even in countries where the parliament vigilantly reviews budgets and spending, military expenditures and arms transfers rarely receive close scrutiny or full, public disclosure (see Ball 1984 and Happe and Wakeman-Linn 1994). However, the Stockholm International Peace Research Institute (SIPRI) has adopted a definition of military expenditure derived from the North Atlantic Treaty Organization's (NATO) former definition (in use until 2002; see Definitions).\n\nIn the many cases where SIPRI cannot make independent estimates, it uses the national data provided. Because of the differences in definitions and the difficulty in verifying the accuracy and completeness of data, data on military expenditures are not always comparable across countries. However, SIPRI puts a high priority on ensuring that the data series for each country is comparable over time.","^51","Military expenditure","^50","Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.","^4[","Military expenditure (% of GDP)","^52","Military expenditure (% of GDP)"]],"^4[",["^ ","^2","atom","^3","Military expenditure (% of GDP)"],"id",["^ ","^2","atom","^3","MS.MIL.XPND.GD.ZS"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","LB","MA","XK","TL","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","PK","BD","ES","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","IT","AL","HT","CG","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","PE","NA","ML","IN","LS","LV","IQ","SC","ZA","T3","BO","HN","GM","ZM","MT","CL","PL","CD","T2","JO","SK","NO","XG","NI","SV","SZ","SL","AO","LU","GT","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","KW","NZ","BF","BG","SA","BE","UY","MX","DO","MN","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","AT","SE","KH","PA","LR","MD","LT","T5","JM","PG","SN","BA","TJ","KE","MG","GA","KG","AU","DZ","UG","SG","RS","SI","T7","GY","CI","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["MS.MIL.XPND.CD","MS.MIL.XPND.CN","MS.MIL.XPND.ZS","MS.MIL.TOTL.P1","MS.MIL.MPRT.KD","MS.MIL.XPRT.KD","MS.MIL.TOTL.TF.ZS"]],"^51",["^ ","^2","atom","^3","Military expenditure"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense projects; paramilitary forces, if these are judged to be trained and equipped for military operations; and military space activities. Such expenditures include military and civil personnel, including retirement pensions of military personnel and social services for personnel; operation and maintenance; procurement; military research and development; and military aid (in the military expenditures of the donor country). Excluded are civil defense and current expenditures for previous military activities, such as for veterans' benefits, demobilization, conversion, and destruction of weapons. This definition cannot be applied for all countries, however, since that would require much more detailed information than is available about what is included in military budgets and off-budget military expenditure items. 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In BPM6, the headings of the financial account have been changed from credits and debits to net acquisition of financial assets and net incurrence of liabilities; i.e., all changes due to credit and debit entries are recorded on a net basis separately for financial assets and liabilities. Financial account balances are calculated as the change in assets minus the change in liabilities; signs are reversed from previous editions.","^5<","Annual","^4V","Economic Policy & Debt: Balance of payments: Capital & financial account","^4W","International Monetary Fund, Balance of Payments Statistics Yearbook and data files.","^4Y","Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capital as shown in the balance of payments. This series shows total net FDI. In BPM6, financial account balances are calculated as the change in assets minus the change in liabilities. Net FDI outflows are assets and net FDI inflows are liabilities. Data are in current U.S. dollars.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capital as shown in the balance of payments. This series shows total net FDI. In BPM6, financial account balances are calculated as the change in assets minus the change in liabilities. Net FDI outflows are assets and net FDI inflows are liabilities. Data are in current U.S. dollars.","^4Q","CC BY-4.0","^4[","Foreign direct investment, net (BoP, current US$)","^50","International Monetary Fund, Balance of Payments Statistics Yearbook and data files.","^51","Foreign direct investment, net","^52","Foreign direct investment, net (BoP, current US$)"]],"^4[",["^ ","^2","atom","^3","Foreign direct investment, net (BoP, current US$)"],"id",["^ ","^2","atom","^3","BN.KLT.DINV.CD"],"^53",["^ ","^2","atom","^3",[2021,["ID","BR","ME","PK","BD","BY","TR","UA","HT","MK","PT","IL","CO","LS","LV","GM","LU","EE","FI","CA","MY","SG","SI","NP","KR","PH"]]],"^54",["^ ","^2","atom","^3",["BX.KLT.DINV.CD.WD","BM.KLT.DINV.CD.WD","BM.KLT.DINV.WD.GD.ZS","BX.KLT.DINV.WD.GD.ZS","BN.KLT.PTXL.CD","BN.TRF.CURR.CD","BN.TRF.KOGT.CD","BN.CAB.XOKA.CD","BN.KAC.EOMS.CD"]],"^51",["^ ","^2","atom","^3","Foreign direct investment, net"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capital as shown in the balance of payments. This series shows total net FDI. In BPM6, financial account balances are calculated as the change in assets minus the change in liabilities. Net FDI outflows are assets and net FDI inflows are liabilities. Data are in current U.S. dollars."],"^50",["^ ","^2","atom","^3","International Monetary Fund, Balance of Payments Statistics Yearbook and data files."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","3","^3","Economy & Growth"],["^ ","id","7","^3","Financial Sector "]]],"^58",["^ ","^2","atom","^3","dollar"]],"^1>",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","5.10"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Infrastructure: Transportation","^59","Freight traffic on any mode is typically measured in tons and ton-kilometers. A ton-kilometer equals cargo weight transported times distance transported. For railways, an important measure of work performed is gross ton-kilometers, this measure includes rail wagons' empty weight for both empty and loaded movements. This measure of gross ton-kilometers is also called ‘trailing tons' or the total tons being hauled. Sometimes gross ton-kilometer measures include the weight of locomotives used to haul freight trains.","^5:","Median","^5<","Annual","^5?","Transport infrastructure - highways, railways, ports and waterways, and airports and air traffic control systems - and the services that flow from it are crucial to the activities of households, producers, and governments. Because performance indicators vary widely by transport mode and focus (whether physical infrastructure or the services flowing from that infrastructure), highly specialized and carefully specified indicators are required to measure a country's transport infrastructure.\n\nThe railway transport industry a vital engine of global socio-economic growth. It is of vital importance for economic development, creating direct and indirect employment, supporting tourism and local businesses. Economic growth, technological change, and market liberalization affect road transport throughout the world.\n\nRailways have helped in the industrialization process of a country by easy transportation of coal and raw-materials at a cheaper rate. As railways require huge capital outlay, they may give rise to monopolies and work against public interest at large. Even if controlled and managed by the government, lack of competition sometimes results in inefficiency and high costs. Also, many times it is not economical to operate railways in sparsely settled rural areas. Thus, in many developing countries large rural areas have no railway even today.\n\nRail transport is a major form of passenger and freight transport in many countries. It is ubiquitous in Europe, with an integrated network covering virtually the whole continent. In India, China, South Korea and Japan, many millions use trains as regular transport. In the North America, freight rail transport is widespread and heavily used in for transporting gods. The western Europe region has the highest railway density in the world and has many individual trains which operate through several countries despite technical and organizational differences in each national network. Australia has a generally sparse network, mostly along its densely populated urban centers.\n\nBulk freight handling is a key advantage for rail transport. Low or even zero transshipment costs combined with energy efficiency and low inventory costs allow trains to handle bulk much cheaper than by road. Typical bulk cargo includes coal, ore, grains and liquids. Bulk goods can be transported in open-topped cars, hopper cars and tank cars. Container trains have become the dominant type in the US for non-bulk haulage.","^4W","Internation Union of Railways (UIC), OECD Statistics","^4Y","Goods transported by railway are the volume of goods transported by railway, measured in metric tons times kilometers traveled.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Goods transported by railway are the volume of goods transported by railway, measured in metric tons times kilometers traveled.","^4Q","CC BY-4.0","^5B","Unlike the road sector, where numerous qualified motor vehicle operators can operate anywhere on the road network, railways are a restricted transport system with vehicles confined to a fixed guideway. Considering the cost and service characteristics, railways generally are best suited to carry - and can effectively compete for - bulk commodities and containerized freight for distances of 500-5,000 kilometers, and passengers for distances of 50-1,000 kilometers. Below these limits road transport tends to be more competitive, while above these limits air transport for passengers and freight and sea transport for freight tend to be more competitive. \n\nData for transport sectors are not always internationally comparable. Unlike for demographic statistics, national income accounts, and international trade data, the collection of infrastructure data has not been \"internationalized.\"","^4[","Railways, goods transported (million ton-km)","^50","Internation Union of Railways (UIC), OECD Statistics","^51","Railways, goods transported","^52","Railways, goods transported (million ton-km)"]],"^4[",["^ ","^2","atom","^3","Railways, goods transported (million ton-km)"],"id",["^ ","^2","atom","^3","IS.RRS.GOOD.MT.K6"],"^53",["^ ","^2","atom","^3",[2019,["DE","ID","GE","RO","GR","BY","TR","US","IE","UA","JP","IT","AL","MK","PT","FR","IL","LV","CL","PL","CD","SK","NO","LU","AZ","CZ","EE","HR","RU","FI","CH","NZ","BG","MX","MN","CA","AT","SE","MD","LT","BA","TJ","KG","UZ","RS","SI","T7","NL","HU","KR"]]],"^54",["^ ","^2","atom","^3",["IS.RRS.PASG.KM","IS.RRS.TOTL.KM","IS.SHP.GOOD.TU","IS.AIR.GOOD.MT.K1","IS.AIR.PSGR","IS.SHP.GCNW.XQ","IS.AIR.DPRT","IP.PAT.RESD","IC.FRM.CRIM.ZS"]],"^51",["^ ","^2","atom","^3","Railways, goods transported"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Goods transported by railway are the volume of goods transported by railway, measured in metric tons times kilometers traveled."],"^50",["^ ","^2","atom","^3","Internation Union of Railways (UIC), OECD Statistics"],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","9","^3","Infrastructure "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^1?",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Private Sector & Trade: Private infrastructure investment","^59","The data are from the World Bank's Private Participation in Infrastructure (PPI) Project database, which tracks infrastructure projects with private participation in developing countries. It provides information on more than 6,400 infrastructure projects in 139 developing economies from 1984. The database contains more than 30 fields per project record, including country, financial closure year, infrastructure services provided, type of private participation, investment, technology, capacity, project location, contract duration, private sponsors, bidding process, and development bank support.\n\nThe database is a joint product of the World Bank's Finance, Economics, and Urban Development Department and the Public-Private Infrastructure Advisory Facility. Geographic and income aggregates are calculated by the World Bank's Development Data Group.\n\nData are in current U.S. dollars.","^5:","Sum","^5<","Annual","^5@","Public Private Partnerships in energy (current US$) is the value of commitments to energy projects that have reached financial closure and directly or indirectly serve the public, including lease and management contracts, operation and management contracts with major capital expenditure, and greenfield projects (in which a private entity or public-private joint venture builds and operates a new facility). It excludes divestitures and merchant projects. Movable assets and small projects are excluded.","^5?","Investment in infrastructure projects with private participation has made important contributions to improving the efficiency of infrastructure services, and extending delivery to poor people. Developing countries have been in the forefront, looking for better approaches to infrastructure services and reaping the benefits of greater competition and customer focus. Entrepreneurship is essential to the dynamism of the modern market economy, and a greater entry density of new businesses can foster competition and economic growth.\n\nPrivate sector development and investment - tapping private sector initiative and investment for socially useful purposes - are critical for poverty reduction. In parallel with public sector efforts, private investment, especially in competitive markets, has tremendous potential to contribute to growth. Private markets are the engine of productivity growth, creating productive jobs and higher incomes. And with government playing a complementary role of regulation, funding, and service provision, private initiative and investment can help provide the basic services and conditions that empower poor people - by improving health, education, and infrastructure.","^4W","World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).","^4Y","Public Private Partnerships in energy (current US$) refers to commitments to infrastructure projects in energy (electricity and natural gas transmission and distribution) that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects such as windmills are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, and greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility). It excludes divestitures and merchant projects. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Public Private Partnerships in energy (current US$) refers to commitments to infrastructure projects in energy (electricity and natural gas transmission and distribution) that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects such as windmills are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, and greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility). It excludes divestitures and merchant projects. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars.","^4Q","CC BY-4.0","^5B","The data on investment in infrastructure projects with private participation refer to all investment commitments (public and private) in projects in which a private company assumes operating risk during the operating period or development and operating risk during the contract period. Investment refers to commitments not disbursements. Foreign state-owned companies are considered private entities for the purposes of this measure.\n\nMovable assets and small projects are excluded. The types of projects included are operations and management contracts, operations and management contracts with major capital expenditure, greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility), and divestitures. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data on the projects are compiled from publicly available information. The database aims to be as comprehensive as possible, but some projects - particularly those involving local and small-scale operators - may be omitted because they are not publicly reported.","^51","Public private partnerships investment in energy","^50","World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).","^4[","Public private partnerships investment in energy (current US$)","^52","Public private partnerships investment in energy (current US$)"]],"^4[",["^ ","^2","atom","^3","Public private partnerships investment in energy (current US$)"],"id",["^ ","^2","atom","^3","IE.PPN.ENGY.CD"],"^53",["^ ","^2","atom","^3",[2020,["BI","MA","TN","BR","PK","BD","TG","TR","UA","ZT","GN","CO","VN","PE","ML","IN","DJ","HN","CD","T2","KN","SV","RU","CN","TZ","KZ","T4","BF","MX","NG","KH","T5","BA","KE","MG","UZ","T7","CI","TH","MZ","TD","PH"]]],"^54",["^ ","^2","atom","^3",["IE.PPN.WATR.CD","IE.PPN.ICTI.CD","IE.PPN.TRAN.CD","IE.PPI.ENGY.CD","IE.PPI.ICTI.CD","IE.PPI.TRAN.CD","IE.PPI.WATR.CD","IP.PAT.RESD","IC.FRM.CRIM.ZS"]],"^51",["^ ","^2","atom","^3","Public private partnerships investment in energy"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Public Private Partnerships in energy (current US$) refers to commitments to infrastructure projects in energy (electricity and natural gas transmission and distribution) that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects such as windmills are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, and greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility). It excludes divestitures and merchant projects. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars."],"^50",["^ ","^2","atom","^3","World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org)."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://ppi.worldbank.org"],"^57",["^ ","^2","atom","^3",[["^ ","id","9","^3","Infrastructure "]]],"^58",["^ ","^2","atom","^3","dollar"]],"^1@",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Private Sector & Trade: Private infrastructure investment","^59","The data are from the World Bank's Private Participation in Infrastructure (PPI) Project database, which tracks infrastructure projects with private participation in developing countries. It provides information on more than 6,400 infrastructure projects in 139 developing economies from 1984. The database contains more than 30 fields per project record, including country, financial closure year, infrastructure services provided, type of private participation, investment, technology, capacity, project location, contract duration, private sponsors, bidding process, and development bank support.\n\nThe database is a joint product of the World Bank's Finance, Economics, and Urban Development Department and the Public-Private Infrastructure Advisory Facility. Geographic and income aggregates are calculated by the World Bank's Development Data Group.\n\nData are in current U.S. dollars.","^5:","Sum","^5<","Annual","^5@","Public Private Partnerships in transport (current US$) is the value of commitments to transportation projects that have reached financial closure and directly or indirectly serve the public, including lease and management contracts, operation and management contracts with major capital expenditure, and greenfield projects (in which a private entity or public-private joint venture builds and operates a new facility). It excludes divestitures and merchant projects. Movable assets and small projects are excluded.","^5?","Investment in infrastructure projects with private participation has made important contributions to improving the efficiency of infrastructure services, and extending delivery to poor people. Developing countries have been in the forefront, looking for better approaches to infrastructure services and reaping the benefits of greater competition and customer focus. Entrepreneurship is essential to the dynamism of the modern market economy, and a greater entry density of new businesses can foster competition and economic growth.\n\nPrivate sector development and investment - tapping private sector initiative and investment for socially useful purposes - are critical for poverty reduction. In parallel with public sector efforts, private investment, especially in competitive markets, has tremendous potential to contribute to growth. Private markets are the engine of productivity growth, creating productive jobs and higher incomes. And with government playing a complementary role of regulation, funding, and service provision, private initiative and investment can help provide the basic services and conditions that empower poor people - by improving health, education, and infrastructure.","^4W","World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).","^4Y","Public Private Partnerships in transport (current US$) refers to commitments to infrastructure projects in transport that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, and greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility). It excludes divestitures and merchant projects. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Public Private Partnerships in transport (current US$) refers to commitments to infrastructure projects in transport that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, and greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility). It excludes divestitures and merchant projects. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars.","^4Q","CC BY-4.0","^5B","The data on investment in infrastructure projects with private participation refer to all investment commitments (public and private) in projects in which a private company assumes operating risk during the operating period or development and operating risk during the contract period. Investment refers to commitments not disbursements. Foreign state-owned companies are considered private entities for the purposes of this measure.\n\nMovable assets and small projects are excluded. The types of projects included are operations and management contracts, operations and management contracts with major capital expenditure, greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility), and divestitures. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data on the projects are compiled from publicly available information. The database aims to be as comprehensive as possible, but some projects - particularly those involving local and small-scale operators - may be omitted because they are not publicly reported.","^51","Public private partnerships investment in transport","^50","World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).","^4[","Public private partnerships investment in transport (current US$)","^52","Public private partnerships investment in transport (current US$)"]],"^4[",["^ ","^2","atom","^3","Public private partnerships investment in transport (current US$)"],"id",["^ ","^2","atom","^3","IE.PPN.TRAN.CD"],"^53",["^ ","^2","atom","^3",[2020,["BR","EC","BD","UA","SO","GN","CO","PE","IN","HN","T2","RU","CN","KZ","T4","MX","CM","T5","KE","GA","EG"]]],"^54",["^ ","^2","atom","^3",["IE.PPN.WATR.CD","IE.PPN.ICTI.CD","IE.PPN.ENGY.CD","IE.PPI.ENGY.CD","IE.PPI.ICTI.CD","IE.PPI.TRAN.CD","IE.PPI.WATR.CD","IP.PAT.RESD","IC.FRM.CRIM.ZS"]],"^51",["^ ","^2","atom","^3","Public private partnerships investment in transport"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Public Private Partnerships in transport (current US$) refers to commitments to infrastructure projects in transport that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, and greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility). It excludes divestitures and merchant projects. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars."],"^50",["^ ","^2","atom","^3","World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org)."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://ppi.worldbank.org"],"^57",["^ ","^2","atom","^3",[["^ ","id","9","^3","Infrastructure "]]],"^58",["^ ","^2","atom","^3","dollar"]],"^1A",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Private Sector & Trade: Private infrastructure investment","^59","The data are from the World Bank's Private Participation in Infrastructure (PPI) Project database, which tracks infrastructure projects with private participation in developing countries. It provides information on more than 6,400 infrastructure projects in 139 developing economies from 1984. The database contains more than 30 fields per project record, including country, financial closure year, infrastructure services provided, type of private participation, investment, technology, capacity, project location, contract duration, private sponsors, bidding process, and development bank support.\n\nThe database is a joint product of the World Bank's Finance, Economics, and Urban Development Department and the Public-Private Infrastructure Advisory Facility. Geographic and income aggregates are calculated by the World Bank's Development Data Group.\n\nData are in current U.S. dollars.","^5:","Sum","^5<","Annual","^5@","Public Private Partnerships in water and sanitation (current US$) is the value of commitments to water and sanitation projects that have reached financial closure and directly or indirectly serve the public, including lease and management contracts, operation and management contracts with major capital expenditure, and greenfield projects (in which a private entity or public-private joint venture builds and operates a new facility). It excludes divestitures and merchant projects. Movable assets and small projects are excluded.","^5?","Investment in infrastructure projects with private participation has made important contributions to improving the efficiency of infrastructure services, and extending delivery to poor people. Developing countries have been in the forefront, looking for better approaches to infrastructure services and reaping the benefits of greater competition and customer focus. Entrepreneurship is essential to the dynamism of the modern market economy, and a greater entry density of new businesses can foster competition and economic growth.\n\nPrivate sector development and investment - tapping private sector initiative and investment for socially useful purposes - are critical for poverty reduction. In parallel with public sector efforts, private investment, especially in competitive markets, has tremendous potential to contribute to growth. Private markets are the engine of productivity growth, creating productive jobs and higher incomes. And with government playing a complementary role of regulation, funding, and service provision, private initiative and investment can help provide the basic services and conditions that empower poor people - by improving health, education, and infrastructure.","^4W","World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).","^4Y","Public Private Partnerships in water and sanitation (current US$) refers to commitments to infrastructure projects in water and sanitation that have reached financial closure and directly or indirectly serve the public. Movable assets, incinerators, standalone solid waste projects, and small projects are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, and greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility). It excludes divestitures and merchant projects. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Public Private Partnerships in water and sanitation (current US$) refers to commitments to infrastructure projects in water and sanitation that have reached financial closure and directly or indirectly serve the public. Movable assets, incinerators, standalone solid waste projects, and small projects are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, and greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility). It excludes divestitures and merchant projects. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars.","^4Q","CC BY-4.0","^5B","The data on investment in infrastructure projects with private participation refer to all investment commitments (public and private) in projects in which a private company assumes operating risk during the operating period or development and operating risk during the contract period. Investment refers to commitments not disbursements. Foreign state-owned companies are considered private entities for the purposes of this measure.\n\nMovable assets and small projects are excluded. The types of projects included are operations and management contracts, operations and management contracts with major capital expenditure, greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility), and divestitures. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data on the projects are compiled from publicly available information. The database aims to be as comprehensive as possible, but some projects - particularly those involving local and small-scale operators - may be omitted because they are not publicly reported.","^51","Public private partnerships investment in water and sanitation","^50","World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).","^4[","Public private partnerships investment in water and sanitation (current US$)","^52","Public private partnerships investment in water and sanitation (current US$)"]],"^4[",["^ ","^2","atom","^3","Public private partnerships investment in water and sanitation (current US$)"],"id",["^ ","^2","atom","^3","IE.PPN.WATR.CD"],"^53",["^ ","^2","atom","^3",[2020,["BR","CN","T4","MX","UZ","CI"]]],"^54",["^ ","^2","atom","^3",["IE.PPN.ICTI.CD","IE.PPN.TRAN.CD","IE.PPN.ENGY.CD","IE.PPI.ENGY.CD","IE.PPI.ICTI.CD","IE.PPI.TRAN.CD","IE.PPI.WATR.CD","IP.PAT.RESD","IC.FRM.CRIM.ZS"]],"^51",["^ ","^2","atom","^3","Public private partnerships investment in water and sanitation"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Public Private Partnerships in water and sanitation (current US$) refers to commitments to infrastructure projects in water and sanitation that have reached financial closure and directly or indirectly serve the public. Movable assets, incinerators, standalone solid waste projects, and small projects are excluded. The types of projects included are management and lease contracts, operations and management contracts with major capital expenditure, and greenfield projects (in which a private entity or a public-private joint venture builds and operates a new facility). It excludes divestitures and merchant projects. Investment commitments are the sum of investments in facilities and investments in government assets. Investments in facilities are the resources the project company commits to invest during the contract period either in new facilities or in expansion and modernization of existing facilities. Investments in government assets are the resources the project company spends on acquiring government assets such as state-owned enterprises, rights to provide services in a specific area, or the use of specific radio spectrums. Data is presented based on investment year. Data are in current U.S. dollars."],"^50",["^ ","^2","atom","^3","World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org)."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://ppi.worldbank.org"],"^57",["^ ","^2","atom","^3",[["^ ","id","9","^3","Infrastructure "]]],"^58",["^ ","^2","atom","^3","dollar"]],"^1B",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.","^59","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 estimates and is harmonized to ensure comparability across countries and over time by accounting for differences in data source, scope of coverage, methodology, and other country-specific factors. The estimates are based mainly on nationally representative labor force surveys, with other sources (population censuses and nationally reported estimates) used only when no survey data are available.","^5:","Weighted average","^5<","Annual","^5?","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.","^4W","International Labour Organization, ILOSTAT database. Data retrieved on February 8, 2022.","^4Y","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.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","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.","^4V","Social Protection & Labor: Labor force structure","^4Q","CC BY-4.0","^5B","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.","^51","Labor force participation rate, total","^50","International Labour Organization, ILOSTAT database. Data retrieved on February 8, 2022.","^4[","Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate)","^52","Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate)"]],"^4[",["^ ","^2","atom","^3","Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate)"],"id",["^ ","^2","atom","^3","SL.TLF.CACT.ZS"],"^53",["^ ","^2","atom","^3",[2021,["MU","BI","BJ","VI","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","SY","SO","IT","AL","HT","CG","MK","JG","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","IN","LS","DJ","LV","TM","IQ","ER","ZA","LY","T3","BO","HN","GM","ZM","MT","CL","KP","YE","PL","CD","T2","JO","SK","NO","ZW","XG","NI","PR","SV","SZ","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","NZ","BF","BG","SA","BE","UY","MX","DO","MN","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","MD","LT","T5","JM","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","GA","KG","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","GU","QA","BT","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["SL.TLF.CACT.NE.ZS","SL.TLF.CACT.MA.NE.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.CACT.MA.ZS","SL.TLF.0714.SW.TM","SL.TLF.0714.SW.FE.TM"]],"^51",["^ ","^2","atom","^3","Labor force participation rate, total"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^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."],"^50",["^ ","^2","atom","^3","International Labour Organization, ILOSTAT database. Data retrieved on February 8, 2022."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","10","^3","Social Protection & Labor"]]],"^58",["^ ","^2","atom","^3","percent"]],"^1C",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","2.4"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Social Protection & Labor: Economic activity","^59","GDP per person employed represents labor productivity — output per unit of labor input. To compare labor productivity levels across countries, GDP is converted to international dollars using purchasing power parity rates which take account of differences in relative prices between countries.","^5:","Weighted average","^5<","Annual","^5;","2017","^5?","Labor productivity is used to assess a country's economic ability to create and sustain decent employment opportunities with fair and equitable remuneration. Productivity increases obtained through investment, trade, technological progress, or changes in work organization can increase social protection and reduce poverty, which in turn reduce vulnerable employment and working poverty. Productivity increases do not guarantee these improvements, but without them - and the economic growth they bring - improvements are highly unlikely.\n\nGDP per person employed 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 8.2.1]","^4W","Derived using data from International Labour Organization, ILOSTAT database. The data retrieved on June 15, 2021.","^4Y","GDP per person employed is gross domestic product (GDP) divided by total employment in the economy. Purchasing power parity (PPP) GDP is GDP converted to 2017 constant international dollars using PPP rates. An international dollar has the same purchasing power over GDP that a U.S. dollar has in the United States.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","GDP per person employed is gross domestic product (GDP) divided by total employment in the economy. Purchasing power parity (PPP) GDP is GDP converted to 2017 constant international dollars using PPP rates. An international dollar has the same purchasing power over GDP that a U.S. dollar has in the United States.","^4Q","CC BY-4.0","^5B","For comparability of individual sectors labor productivity is estimated according to national accounts conventions. However, there are still significant limitations on the availability of reliable data. Information on consistent series of output in both national currencies and purchasing power parity dollars is not easily available, especially in developing countries, because the definition, coverage, and methodology are not always consistent across countries. For example, countries employ different methodologies for estimating the missing values for the nonmarket service sectors and use different definitions of the informal sector.","^51","GDP per person employed","^50","Derived using data from International Labour Organization, ILOSTAT database. The data retrieved on June 15, 2021.","^4[","GDP per person employed (constant 2017 PPP $)","^52","GDP per person employed (constant 2017 PPP $)"]],"^4[",["^ ","^2","atom","^3","GDP per person employed (constant 2017 PPP $)"],"id",["^ ","^2","atom","^3","SL.GDP.PCAP.EM.KD"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","ST","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","SO","IT","AL","HT","CG","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","PS","KM","MV","IN","LS","DJ","LV","IQ","ZA","LY","T3","BO","HN","GM","ZM","MT","CL","PL","CD","T2","JO","SK","NO","ZW","XG","NI","PR","SV","SZ","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","NZ","BF","BG","SA","BE","UY","MX","DO","MN","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","MD","LT","T5","JM","PG","VU","AE","SN","BA","TJ","LC","VC","KE","MG","GA","KG","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","QA","BT","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["SL.EMP.VULN.ZS","SL.TLF.0714.SW.TM","SL.TLF.CACT.NE.ZS","SL.SLF.0714.FE.ZS","SL.UEM.TOTL.FE.ZS","SL.IND.EMPL.MA.ZS","SL.WAG.0714.MA.ZS","SL.UEM.ADVN.ZS","SL.TLF.0714.SW.FE.TM"]],"^51",["^ ","^2","atom","^3","GDP per person employed"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","GDP per person employed is gross domestic product (GDP) divided by total employment in the economy. Purchasing power parity (PPP) GDP is GDP converted to 2017 constant international dollars using PPP rates. An international dollar has the same purchasing power over GDP that a U.S. dollar has in the United States."],"^50",["^ ","^2","atom","^3","Derived using data from International Labour Organization, ILOSTAT database. The data retrieved on June 15, 2021."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","10","^3","Social Protection & Labor"]]],"^58",["^ ","^2","atom","^3","dollar"]],"^1D",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","2.4"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.","^59","The employment to population ratio indicates how efficiently an economy provides jobs for people who want to work. A high ratio means that a large proportion of the population is employed. But a lower employment to population ratio can be seen as a positive sign, especially for young people, if it is caused by an increase in their education. \n\nThe series is part of the ILO estimates and is harmonized to ensure comparability across countries and over time by accounting for differences in data source, scope of coverage, methodology, and other country-specific factors. The estimates are based mainly on nationally representative labor force surveys, with other sources (population censuses and nationally reported estimates) used only when no survey data are available.","^5:","Weighted average","^5<","Annual","^5?","Four targets were added to the UN Millennium Declaration at the 2005 World Summit High-Level Plenary Meeting of the 60th Session of the UN General Assembly. One was full and productive employment and decent work for all, which is seen as the main route for people to escape poverty. Employment to population ratio is a key measure to monitor whether a country is on track to achieve the Millennium Development Goal of eradicating extreme poverty and hunger by 2015. And it continues to be a priority in the Sustainable Development Goal of promoting sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all.","^4W","International Labour Organization, ILOSTAT database. Data retrieved on February 8, 2022.","^4Y","Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.","^4V","Social Protection & Labor: Economic activity","^4Q","CC BY-4.0","^5B","Data on employment by status are drawn from labor force surveys and household surveys, supplemented by official estimates and censuses for a small group of countries. The labor force survey is the most comprehensive source for internationally comparable employment, but there are still some limitations for comparing data across countries and over time even within a country. \n\nComparability of employment ratios across countries is affected by variations in definitions of employment and population. The biggest difference results from the age range used to define labor force activity. The population base for employment ratios can also vary. Most countries use the resident, non-institutionalized population of working age living in private households, which excludes members of the armed forces and individuals residing in mental, penal, or other types of institutions. But some countries include members of the armed forces in the population base of their employment ratio while excluding them from employment data.\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. Employment ratios tend to vary during the year as seasonal workers enter and leave.\n\nThis indicator also has a gender bias because women who do not consider their work employment or who are not perceived as working tend to be undercounted. This bias has different effects across countries and reflects demographic, social, legal, and cultural trends and norms.","^51","Employment to population ratio, 15+, total","^50","International Labour Organization, ILOSTAT database. Data retrieved on February 8, 2022.","^4[","Employment to population ratio, 15+, total (%) (modeled ILO estimate)","^52","Employment to population ratio, 15+, total (%) (modeled ILO estimate)"]],"^4[",["^ ","^2","atom","^3","Employment to population ratio, 15+, total (%) (modeled ILO estimate)"],"id",["^ ","^2","atom","^3","SL.EMP.TOTL.SP.ZS"],"^53",["^ ","^2","atom","^3",[2021,["MU","BI","BJ","VI","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","SY","SO","IT","AL","HT","CG","MK","JG","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","IN","LS","DJ","LV","TM","IQ","ER","ZA","LY","T3","BO","HN","GM","ZM","MT","CL","KP","YE","PL","CD","T2","JO","SK","NO","ZW","XG","NI","PR","SV","SZ","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","NZ","BF","BG","SA","BE","UY","MX","DO","MN","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","MD","LT","T5","JM","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","GA","KG","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","GU","QA","BT","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["SL.EMP.TOTL.SP.FE.ZS","SL.EMP.TOTL.SP.MA.NE.ZS","SL.EMP.TOTL.SP.FE.NE.ZS","SL.EMP.TOTL.SP.MA.ZS","SL.EMP.TOTL.SP.NE.ZS","SL.EMP.VULN.ZS","SL.EMP.1524.SP.FE.NE.ZS","SL.EMP.1524.SP.FE.ZS","SL.EMP.1524.SP.ZS"]],"^51",["^ ","^2","atom","^3","Employment to population ratio, 15+, total"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population."],"^50",["^ ","^2","atom","^3","International Labour Organization, ILOSTAT database. Data retrieved on February 8, 2022."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","10","^3","Social Protection & Labor"]]],"^58",["^ ","^2","atom","^3","percent"]],"^1E",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","3.1"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Environment: Land use","^59","Forest is determined both by the presence of trees and the absence of other predominant land uses. The trees should reach a minimum height of 5 meters in situ. Areas under reforestation that have not yet reached but are expected to reach a canopy cover of 10 percent and a tree height of 5 meters are included, as are temporarily unstocked areas, resulting from human intervention or natural causes, which are expected to regenerate.\n\nThe Food and Agriculture Organization (FAO) provides detail information on forest cover, and adjusted estimates of forest cover. The survey uses a uniform definition of forest. Although FAO provides a breakdown of forest cover between natural forest and plantation for developing countries, forest data used to derive this indictor data does not reflect that breakdown. Total land area does not include inland water bodies such as major rivers and lakes. Variations from year to year may be due to updated or revised data rather than to change in area. The indictor is derived by dividing total area under forest of a country by country's total land area, and multiplying by 100.","^5:","Weighted average","^5<","Annual","^5?","As threats to biodiversity mount, the international community is increasingly focusing on conserving diversity. Deforestation is a major cause of loss of biodiversity, and habitat conservation is vital for stemming this loss. Conservation efforts have focused on protecting areas of high biodiversity.\n\nOn a global average, more than one-third of all forest is primary forest, i.e. forest of native species where there are no clearly visible indications of human activities and the ecological processes have not been significantly disturbed. Primary forests, in particular tropical moist forests, include the most species-rich, diverse terrestrial ecosystems. The decrease of forest area, .11 percent over a ten-year period, is largely due to reclassification of primary forest to \"other naturally regenerated forest\" because of selective logging and other human interventions.\n\nDestruction of rainforests remains a significant environmental problem Much of what remains of the world's rainforests is in the Amazon basin, where the Amazon Rainforest covers approximately 4 million square kilometers. The regions with the highest tropical deforestation rate are in Central America and tropical Asia. FAO estimates that the decrease of primary forest area, 0.4 percent over a ten-year period, is largely due to reclassification of primary forest to \"other naturally regenerated forest\" because of selective logging and other human interventions. Large-scale planting of trees is significantly reducing the net loss of forest area globally, and afforestation and natural expansion of forests in some countries and regions have reduced the net loss of forest area significantly at the global level.\n\nForests cover about 31 percent of total land area of the world; the world's total forest area is just over 4 billion hectares. On a global average, more than one-third of all forest is primary forest, i.e. forest of native species where there are no clearly visible indications of human activities and the ecological processes have not been significantly disturbed. Primary forests, in particular tropical moist forests, include the most species-rich, diverse terrestrial ecosystems.\n\nNational parks, game reserves, wilderness areas and other legally established protected areas cover more than 10 percent of the total forest area in most countries and regions. FAO estimates that around 10 million people are employed in forest management and conservation - but many more are directly dependent on forests for their livelihoods. Close to 1.2 billion hectares of forest are managed primarily for the production of wood and non-wood forest products. An additional 25 percent of forest area is designated for multiple uses - in most cases including the production of wood and non-wood forest products. The area designated primarily for productive purposes has decreased by more than 50 million hectares since 1990 as forests have been designated for other purposes.","^4W","Food and Agriculture Organization, electronic files and web site.","^4Y","Forest area is land under natural or planted stands of trees of at least 5 meters in situ, whether productive or not, and excludes tree stands in agricultural production systems (for example, in fruit plantations and agroforestry systems) and trees in urban parks and gardens.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Forest area is land under natural or planted stands of trees of at least 5 meters in situ, whether productive or not, and excludes tree stands in agricultural production systems (for example, in fruit plantations and agroforestry systems) and trees in urban parks and gardens.","^4Q","CC BY-4.0","^5B","FAO has been collecting and analyzing data on forest area since 1946. This is done at intervals of 5-10 years as part of the Global Forest Resources Assessment (FRA). FAO reports data for 229 countries and territories; for the remaining 56 small island states and territories where no information is provided, a report is prepared by FAO using existing information and a literature search. The data are aggregated at sub-regional, regional and global levels by the FRA team at FAO, and estimates are produced by straight summation.\n\nThe lag between the reference year and the actual production of data series as well as the frequency of data production varies between countries. Deforested areas do not include areas logged but intended for regeneration or areas degraded by fuelwood gathering, acid precipitation, or forest fires. Negative numbers indicate an increase in forest area.\n\nData includes areas with bamboo and palms; forest roads, firebreaks and other small open areas; forest in national parks, nature reserves and other protected areas such as those of specific scientific, historical, cultural or spiritual interest; windbreaks, shelterbelts and corridors of trees with an area of more than 0.5 hectares and width of more than 20 meters; plantations primarily used for forestry or protective purposes, such as rubber-wood plantations and cork oak stands. Data excludes tree stands in agricultural production systems, such as fruit plantations and agroforestry systems. Forest area also excludes trees in urban parks and gardens. The proportion of forest area to total land area is calculated and changes in the proportion are computed to identify trends.","^4[","Forest area (% of land area)","^50","Food and Agriculture Organization, electronic files and web site.","^51","Forest area","^52","Forest area (% of land area)"]],"^4[",["^ ","^2","atom","^3","Forest area (% of land area)"],"id",["^ ","^2","atom","^3","AG.LND.FRST.ZS"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","VI","LB","MA","TL","LA","MR","DE","ID","GE","TN","AW","BR","MF","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","SX","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","SY","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","AS","IN","LS","DJ","LV","TM","SM","IQ","ER","PW","KY","SC","ZA","LY","T3","BO","FO","HN","GM","ZM","MT","CL","KP","YE","PL","TC","CD","T2","JO","SK","NO","ZW","XG","KN","NI","PR","SV","IM","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","LI","SD","MY","WS","VG","AT","SB","SE","KH","PA","LR","AD","MP","MD","LT","T5","JM","GL","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","BM","GA","KG","AU","DZ","UZ","UG","SG","IS","RS","SI","T7","GY","CI","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","GU","QA","GD","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["AG.LND.FRST.K2","AG.LND.AGRI.ZS","AG.LND.AGRI.K2","AG.LND.EL5M.RU.ZS","AG.LND.EL5M.UR.ZS","AG.LND.TOTL.K2","AG.LND.EL5M.UR.K2","AG.LND.TOTL.UR.K2","AG.LND.EL5M.RU.K2"]],"^51",["^ ","^2","atom","^3","Forest area"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Forest area is land under natural or planted stands of trees of at least 5 meters in situ, whether productive or not, and excludes tree stands in agricultural production systems (for example, in fruit plantations and agroforestry systems) and trees in urban parks and gardens."],"^50",["^ ","^2","atom","^3","Food and Agriculture Organization, electronic files and web site."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","1","^3","Agriculture & Rural Development "],["^ ","id","19","^3","Climate Change"],["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","percent"]],"^1F",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","4.11"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5:","Weighted average","^5<","Annual","^4V","Economic Policy & Debt: National accounts: Adjusted savings & income","^4W","World Bank staff estimates based on sources and methods in World Bank's \"The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium\" (2011).","^4Y","Net forest depletion is calculated as the product of unit resource rents and the excess of roundwood harvest over natural growth.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Net forest depletion is calculated as the product of unit resource rents and the excess of roundwood harvest over natural growth.","^4Q","CC BY-4.0","^5B","A positive net depletion figure for forest resources implies that the harvest rate exceeds the rate of natural growth; this is not the same as deforestation, which represents a change in land use. In principle, there should be an addition to savings in countries where growth exceeds harvest, but empirical estimates suggest that most of this net growth is in forested areas that cannot currently be exploited economically. Because the depletion estimates reflect only timber values, they ignore all the external and nontimber benefits associated with standing forests.","^4[","Adjusted savings: net forest depletion (% of GNI)","^50","World Bank staff estimates based on sources and methods in World Bank's \"The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium\" (2011).","^51","Adjusted savings: net forest depletion","^52","Adjusted savings: net forest depletion (% of GNI)"]],"^4[",["^ ","^2","atom","^3","Adjusted savings: net forest depletion (% of GNI)"],"id",["^ ","^2","atom","^3","NY.ADJ.DFOR.GN.ZS"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","ST","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","KM","MV","IN","LS","DJ","LV","IQ","SC","ZA","LY","T3","BO","HN","GM","ZM","CL","PL","CD","T2","JO","SK","NO","ZW","XG","NI","SV","SZ","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","MD","LT","T5","JM","PG","VU","AE","SN","BA","TJ","LC","VC","KE","MG","GA","KG","AU","DZ","UZ","UG","SG","IS","RS","SI","T7","GY","CI","NL","HU","EG","TH","LK","MZ","NP","KR","TD","QA","BT","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["NY.ADJ.DFOR.CD","NY.ADJ.NNTY.KD","NY.ADJ.SVNX.CD","NY.ADJ.DNGY.GN.ZS","NY.ADJ.DMIN.CD","NY.ADJ.DNGY.CD","NY.ADJ.NNTY.PC.KD","NY.ADJ.SVNX.GN.ZS","NY.ADJ.DKAP.CD"]],"^51",["^ ","^2","atom","^3","Adjusted savings: net forest depletion"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Net forest depletion is calculated as the product of unit resource rents and the excess of roundwood harvest over natural growth."],"^50",["^ ","^2","atom","^3","World Bank staff estimates based on sources and methods in World Bank's \"The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium\" (2011)."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","3","^3","Economy & Growth"],["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","percent"]],"^1G",["^ ","^4Q",["^ ","^2","atom","^3","Use and distribution of these data are subject to Protected Planet terms and conditions."],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://www.protectedplanet.net/c/terms-and-conditions"],"^4S",["^ ","^2","atom","^3","WV.3"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Restricted use: Please contact the Protected Planet for third-party use of these data.","^59","This indicator is calculated using all the nationally designated protected areas recorded in the World Database on Protected Areas (WDPA) whose location and extent is known. The WDPA database is stored within a Geographic Information System (GIS) that stores information about protected areas such as their name, type and date of designation, documented area, geographic location (point) and/or boundary (polygon).\n\nA GIS analysis is used to calculate terrestrial and marine protection. For this a global protected area layer is created by combining the polygons and points recorded in the WDPA. Circular buffers are created around points based on the known extent of protected areas for which no polygon is available. Annual protected area layers are created by dissolving the global protected area layer by the known year of establishment of protected areas recorded in the WDPA. The annual protected area layers are overlaid with country/territory boundaries, coastlines and buffered coastlines (delineating the territorial waters) to obtain the absolute coverage (in square kilometers) of protected areas by country/territory per year from 1990 to present. The total area of a country's/territory's terrestrial protected areas and marine protected areas in territorial waters is divided by the total area of its land areas (including inland waters) and territorial waters to obtain the relative coverage (percentage) of protected areas.","^5:","Weighted average","^5<","Annual","^5?","The International Union for Conservation of Nature (IUCN) defines a protected area as \"a clearly defined geographical space, recognized, dedicated and managed, through legal or other effective means, to achieve the long-term conservation of nature with associated ecosystem services and cultural values.\"\n\nTerrestrial protected areas are totally or partially protected areas of at least 1,000 hectares that are designated by national authorities as scientific reserves with limited public access, national parks, natural monuments, nature reserves or wildlife sanctuaries, protected landscapes, and areas managed mainly for sustainable use.\n\nMarine protected areas are areas of intertidal or subtidal terrain - and overlying water and associated flora and fauna and historical and cultural features - that have been reserved by law or other effective means to protect part or the entire enclosed environment. Sites protected under local or provincial law are excluded.\n\nAs threats to biodiversity mount, the international community is increasingly focusing on conserving diversity. Deforestation is a major cause of loss of biodiversity, and habitat conservation is vital for stemming this loss. Conservation efforts have focused on protecting areas of high biodiversity. Increasing the proportion of terrestrial and marine areas protected helps defend vulnerable plant and animal species and safeguard biodiversity.\n \nProtected areas remain the fundamental building blocks of virtually all national and international conservation strategies, supported by governments and international institutions. They provide the core of efforts to protect the world's threatened species and are increasingly recognized as essential providers of ecosystem services and biological resources. Some sites are owned and managed by governments, others by private individuals, companies, communities and faith groups.\n\nThe Sustainable Development Goals (SDGs) address concerns common to all economies. In recognition of the vulnerability of animal and plant species, SDGs include targets 14 and 15 to highlight the importance of marine and terrestorial protected areas. Increasing the proportion of terrestrial and marine areas protected helps defend vulnerable plant and animal species and safeguard biodiversity.","^4W","World Database on Protected Areas (WDPA) where the compilation and management is carried out by United Nations Environment World Conservation Monitoring Centre (UNEP-WCMC) in collaboration with governments, non-governmental organizations, academia and industry. The data is available online through the Protected Planet website (https://www.protectedplanet.net/).","^4Y","Terrestrial protected areas are totally or partially protected areas of at least 1,000 hectares that are designated by national authorities as scientific reserves with limited public access, national parks, natural monuments, nature reserves or wildlife sanctuaries, protected landscapes, and areas managed mainly for sustainable use. Marine protected areas are areas of intertidal or subtidal terrain--and overlying water and associated flora and fauna and historical and cultural features--that have been reserved by law or other effective means to protect part or all of the enclosed environment. Sites protected under local or provincial law are excluded.","^4R","https://web.archive.org/web/20220510201529/https://www.protectedplanet.net/c/terms-and-conditions","^4Z","Terrestrial protected areas are totally or partially protected areas of at least 1,000 hectares that are designated by national authorities as scientific reserves with limited public access, national parks, natural monuments, nature reserves or wildlife sanctuaries, protected landscapes, and areas managed mainly for sustainable use. Marine protected areas are areas of intertidal or subtidal terrain--and overlying water and associated flora and fauna and historical and cultural features--that have been reserved by law or other effective means to protect part or all of the enclosed environment. Sites protected under local or provincial law are excluded.","^4V","Environment: Biodiversity & protected areas","^4Q","Use and distribution of these data are subject to Protected Planet terms and conditions.","^5B","The data source for this indicator is the World Database on Protected Areas (WDPA), the most comprehensive global dataset on marine and terrestrial protected areas available. \n\nThe extent to which the land areas, including inland waters, and territorial waters of a country/territory are protected is useful for planning purpose to protect biodiversity. However, it is neither an indication of how well managed the terrestrial and marine protected areas are, nor confirmation that protection measures are effectively enforced. Further, the indicator does not provide information on non-designated or internationally designated protected areas that may also be important for conserving biodiversity. There are known data and knowledge gaps for some countries/regions due to difficulties in reporting national protected area data to the WDPA and/or determining whether a site conforms to the IUCN definition of a protected area.\n\nGaps and/or time lags in reporting national protected area data to the WDPA can however result in discrepancies, which are resolved in communication with data providers. The World Conservation Monitoring Centre (WCMC) compiles data on protected areas, numbers of certain species, and numbers of those species under threat from various sources. Because of differences in definitions, reporting practices, and reporting periods, cross-country comparability is limited.\n\nDue to variations in consistency and methods of collection, data quality is highly variable across countries. Some countries update their information more frequently than others, some have more accurate data on extent of coverage, and many underreport the number or extent of protected areas.","^51","Terrestrial and marine protected areas","^50","World Database on Protected Areas (WDPA) where the compilation and management is carried out by United Nations Environment World Conservation Monitoring Centre (UNEP-WCMC) in collaboration with governments, non-governmental organizations, academia and industry. The data is available online through the Protected Planet website (https://www.protectedplanet.net/).","^4[","Terrestrial and marine protected areas (% of total territorial area)","^52","Terrestrial and marine protected areas (% of total territorial area)"]],"^4[",["^ ","^2","atom","^3","Terrestrial and marine protected areas (% of total territorial area)"],"id",["^ ","^2","atom","^3","ER.PTD.TOTL.ZS"],"^53",["^ ","^2","atom","^3",[2021,["MU","BI","BJ","VI","LB","MA","TL","LA","MR","DE","ID","GE","TN","AW","BR","MF","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","SX","BY","TR","US","IE","UA","BN","MW","JP","AM","MC","SY","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","AS","IN","LS","DJ","LV","TM","IQ","ER","PW","KY","SC","ZA","LY","BO","FO","HN","GM","ZM","MT","CL","KP","YE","PL","TC","CD","JO","SK","NO","ZW","KN","NI","PR","SV","IM","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","LI","SD","MY","WS","VG","AT","SB","SE","KH","PA","LR","AD","MP","MD","LT","JM","GL","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","BM","GA","GI","KG","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","GY","CI","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","GU","QA","GD","BT","TV","PH","BH","NE"]]],"^54",["^ ","^2","atom","^3",["ER.LND.PTLD.ZS","ER.H2O.FWIN.ZS","ER.H2O.INTR.PC","ER.GDP.FWTL.M3.KD","ER.FSH.CAPT.MT","ER.H2O.FWST.ZS","ER.H2O.FWAG.ZS","ER.H2O.FWTL.ZS","ER.MRN.PTMR.ZS"]],"^51",["^ ","^2","atom","^3","Terrestrial and marine protected areas"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Terrestrial protected areas are totally or partially protected areas of at least 1,000 hectares that are designated by national authorities as scientific reserves with limited public access, national parks, natural monuments, nature reserves or wildlife sanctuaries, protected landscapes, and areas managed mainly for sustainable use. Marine protected areas are areas of intertidal or subtidal terrain--and overlying water and associated flora and fauna and historical and cultural features--that have been reserved by law or other effective means to protect part or all of the enclosed environment. Sites protected under local or provincial law are excluded."],"^50",["^ ","^2","atom","^3","World Database on Protected Areas (WDPA) where the compilation and management is carried out by United Nations Environment World Conservation Monitoring Centre (UNEP-WCMC) in collaboration with governments, non-governmental organizations, academia and industry. The data is available online through the Protected Planet website (https://www.protectedplanet.net/)."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://www.protectedplanet.net/"],"^57",["^ ","^2","atom","^3",[["^ ","id","19","^3","Climate Change"],["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","percent"]],"^1H",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Private Sector & Trade: Business environment","^59","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.","^5:","Unweighted average","^5<","Annual","^4[","Firms using banks to finance investment (% of firms)","^5?","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\nFinancial markets connect firms to lenders and investors, allowing firms to grow their businesses: creditworthy firms can obtain credit from financial intermediaries at competitive prices. But too often market imperfections and government-induced distortions limit access to credit and thus restrain growth.\n\nExcessive reliance on internal funds is a sign of potentially inefficient financial intermediation.","^4W","World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).","^4Y","Firms using banks to finance investment are the percentage of firms using banks to finance investments.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Firms using banks to finance investment are the percentage of firms using banks to finance investments.","^4Q","CC BY-4.0","^5B","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.","^5C","All surveys were administered using the Enterprise Surveys methodology as outlined in the Methodology page which can be found from www.enterprisesurveys.org.","^50","World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).","^51","Firms using banks to finance investment","^52","Firms using banks to finance investment (% of firms)"]],"^4[",["^ ","^2","atom","^3","Firms using banks to finance investment (% of firms)"],"id",["^ ","^2","atom","^3","IC.FRM.BNKS.ZS"],"^53",["^ ","^2","atom","^3",[2020,["TN","IE","AM","ZT","ZA","T3","T2","XG","LU","FI","DK","T4","BE","SE","T5","T7","NL","EG","T6"]]],"^54",["^ ","^2","atom","^3",["IC.FRM.CRIM.ZS","IC.FRM.INFM.ZS","IC.FRM.THEV.ZS","IC.FRM.CORR.ZS","IC.FRM.OUTG.ZS","IC.FRM.RSDV.ZS","IC.FRM.TRNG.ZS","IC.FRM.FEMM.ZS","IC.FRM.METG.ZS"]],"^51",["^ ","^2","atom","^3","Firms using banks to finance investment"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Firms using banks to finance investment are the percentage of firms using banks to finance investments."],"^50",["^ ","^2","atom","^3","World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/)."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://www.enterprisesurveys.org/"],"^57",["^ ","^2","atom","^3",[["^ ","id","5","^3","Energy & Mining "],["^ ","id","12","^3","Private Sector"]]],"^58",["^ ","^2","atom","^3","percent"]],"^1I",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",2],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5:","Unweighted average","^5<","Annual","^5@","Logistics professionals' perception of the ease of arranging competitively priced shipments to a country, on a rating ranging from 1 (very difficult) to 5 (very easy). Scores are averaged across all respondents.","^4V","Private Sector & Trade: Trade facilitation","^4W","World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at: https://lpi.worldbank.org/. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.","^4Y","Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents assessed the ease of arranging competitively priced shipments to markets, on a rating ranging from 1 (very difficult) to 5 (very easy). Scores are averaged across all respondents.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents assessed the ease of arranging competitively priced shipments to markets, on a rating ranging from 1 (very difficult) to 5 (very easy). Scores are averaged across all respondents.","^4Q","CC BY-4.0","^4[","Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)","^50","World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at: https://lpi.worldbank.org/. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.","^51","Logistics performance index: Ease of arranging competitively priced shipments","^52","Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)"]],"^4[",["^ ","^2","atom","^3","Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high)"],"id",["^ ","^2","atom","^3","LP.LPI.ITRN.XQ"],"^53",["^ ","^2","atom","^3",[2018,["MU","BI","BJ","LB","MA","LA","MR","DE","ID","GE","TN","BR","ME","EC","RO","GR","PK","ST","BD","ES","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","SY","SO","IT","AL","HT","CG","MK","PT","AF","FR","CF","CR","GN","IL","CO","BS","VN","PE","ML","KM","MV","IN","LS","DJ","LV","TM","IQ","ER","ZA","LY","T3","BO","HN","GM","ZM","MT","CL","YE","PL","CD","T2","JO","SK","NO","ZW","XG","SV","SL","AO","LU","GT","GQ","CY","CZ","EE","HR","TT","RU","CN","FI","DK","PY","CH","RW","FJ","KZ","T4","KW","VE","NZ","BF","BG","SA","BE","UY","MX","DO","MN","GH","AR","CA","IR","NG","CM","MM","SD","MY","AT","SB","SE","KH","PA","LR","MD","LT","T5","JM","PG","AE","SN","CU","BA","TJ","KE","MG","GA","KG","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","NL","HU","OM","GB","EG","TH","LK","NP","KR","TD","QA","BT","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["LP.LPI.LOGS.XQ","LP.LPI.TIME.XQ","LP.LPI.INFR.XQ","LP.LPI.TRAC.XQ","LP.LPI.OVRL.XQ","LP.LPI.CUST.XQ","LP.EXP.DURS.MD","LP.IMP.DURS.MD"]],"^51",["^ ","^2","atom","^3","Logistics performance index: Ease of arranging competitively priced shipments"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents assessed the ease of arranging competitively priced shipments to markets, on a rating ranging from 1 (very difficult) to 5 (very easy). Scores are averaged across all respondents."],"^50",["^ ","^2","atom","^3","World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at: https://lpi.worldbank.org/. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://lpi.worldbank.org/"],"^57",["^ ","^2","atom","^3",[["^ ","id","12","^3","Private Sector"],["^ ","id","21","^3","Trade"]]],"^58",["^ ","^2","atom","^3","unknown"]],"^1J",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","5.13"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Infrastructure: Technology","^59","The method for determining high-technology exports was developed by the Organisation for Economic Co-operation and Development in collaboration with Eurostat. It takes a \"product approach\" (rather than a \"sectoral approach\") based on R&D intensity (expenditure divided by total sales) for groups of products from Germany, Italy, Japan, the Netherlands, Sweden, and the United States.\n\nThe original high-tech products classification is based on SITC Rev. 3 and is taken from Table 4 of Annex 2 of the 1997 working paper of Thomas Hatzichronouglou, OECD. The methodology used to determine high-tech exports takes the \"product approach\" based on R&D intensity on products from Germany, Italy, Japan, the Netherlands, Sweden, and the United States.\n\nHigh Technology Products List - SITC Rev. 3:\n1 Aerospace 7921+7922+7923+7924+7925+79291+79293+(714-71489-71499)+87411\n2 Computers-office machines 75113+75131+75132+75134+(752-7529)+75997\n3 Electronics-telecommunications 76381+76383+(764-76493-76499)\n+7722+77261+77318+77625+77627+7763+7764+7768+89879\n4 Pharmacy 5413+5415+5416+5421+5422\n5 Scientific instruments 774+8711+8713+8714+8719+87211+(874-87411-8742)\n+88111+88121+88411+88419+89961+89963+89966+89967\n6 Electrical machinery 77862+77863+77864+77865+7787+77884\n7 Chemistry 52222+52223+52229+52269+525+531+57433+591\n8 Non-electrical machinery 71489+71499+71871+71877+71878+72847+7311+73131+73135\n+73142+73144+73151+73153+73161+73163+73165\n+73312+73314+73316+7359+73733+73735\n9 Armament 891","^5:","Weighted average","^5<","Annual","^5?","The OECD has developed a four-way classification of exports: high, medium-high, medium-low and low-technology. The classification is based on the importance of expenditures on research and development relative to the gross output and value added of different types of industries that produce goods for export. Examples of high-technology industries are aircraft, computers, and pharmaceuticals; medium-high-technology includes motor vehicles, electrical equipment and most chemicals; medium-low-technology includes rubber, plastics, basic metals and ship construction; low-technology industries include food processing, textiles, clothing and footwear.\n\nIndustries of high and medium-high-technology intensity account for over two-thirds of total OECD manufacturing exports. Differences among countries are substantial; the share of high and medium-high-technology industries ranges from over 80 percent in Japan and Ireland to less than 10 percent in Iceland. Technology exports have grown rapidly in Iceland, Turkey and the eastern European countries, although most of these countries, with Hungary and the Czech Republic as exceptions, still focus primarily on low and medium-low-technology exports.","^4W","United Nations, Comtrade database through the WITS platform.","^4Y","High-technology exports are products with high R&D intensity, such as in aerospace, computers, pharmaceuticals, scientific instruments, and electrical machinery.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","High-technology exports are products with high R&D intensity, such as in aerospace, computers, pharmaceuticals, scientific instruments, and electrical machinery.","^4Q","CC BY-4.0","^5B","Because industrial sectors specializing in a few high-technology products may also produce low-technology products, the product approach is more appropriate for international trade. The method takes only R&D intensity into account, but other characteristics of high technology are also important, such as knowhow, scientific personnel, and technology embodied in patents. Considering these characteristics would yield a different list (see Hatzichronoglou 1997).","^4[","High-technology exports (% of manufactured exports)","^50","United Nations, Comtrade database through the WITS platform.","^51","High-technology exports","^52","High-technology exports (% of manufactured exports)"]],"^4[",["^ ","^2","atom","^3","High-technology exports (% of manufactured exports)"],"id",["^ ","^2","atom","^3","TX.VAL.TECH.MF.ZS"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","LB","MA","MR","DE","ID","GE","AW","BR","ME","BW","EC","RO","GR","BB","PK","ES","PF","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","IT","AL","CG","KI","MK","PT","CV","FR","CR","IL","CO","VN","PE","NA","PS","KM","IN","LS","LV","SC","ZA","BO","GM","ZM","MT","CL","PL","CD","T2","JO","SK","NO","ZW","NI","SV","SZ","LU","GT","AZ","CY","CZ","ET","EE","HR","RU","CN","FI","DK","PY","CH","KZ","T4","KW","NZ","BF","BG","SA","BE","UY","MX","DO","AR","CA","BZ","NG","MM","MY","AT","SE","KH","MD","LT","T5","AE","SN","BA","TJ","KE","MG","BM","KG","AU","UZ","UG","SG","IS","HK","SI","T7","GY","MO","NL","HU","GB","EG","TH","LK","MZ","KR","QA","GD","PH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["TX.VAL.TECH.CD","TX.VAL.MRCH.WR.ZS","TX.VAL.ICTG.ZS.UN","TX.VAL.MRCH.XD.WD","TX.VAL.TRVL.ZS.WT","TX.VAL.SERV.CD.WT","TX.VAL.MRCH.R5.ZS","TX.VAL.MRCH.AL.ZS","TX.VAL.MRCH.R2.ZS"]],"^51",["^ ","^2","atom","^3","High-technology exports"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","High-technology exports are products with high R&D intensity, such as in aerospace, computers, pharmaceuticals, scientific instruments, and electrical machinery."],"^50",["^ ","^2","atom","^3","United Nations, Comtrade database through the WITS platform."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","12","^3","Private Sector"],["^ ","id","14","^3","Science & Technology "],["^ ","id","21","^3","Trade"]]],"^58",["^ ","^2","atom","^3","percent"]],"^1K",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","5.4"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Stock market data were previously sourced from Standard & Poor's until they discontinued their \"Global Stock Markets Factbook\" and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.","^59","The value of shares traded represent the transfer of ownership effected automatically through the exchange's electronic order book (EOB), where orders placed by trading members are usually exposed to all market users and automatically matched according to precise rules set up by the exchange, generally on a price/time priority basis. For data before 2001, the WFE used two different approaches for the collection of trading data, depending on the individual stock exchange's market organization and rules. The first approach is the Trading System View (TSV). Stock exchanges adopting this view count only those transactions which pass through their trading system or trading floor. The TSV is generally adopted by exchanges which operate a centralized order book (order-driven market). Trades done by their members off the exchange are not included. The second approach is the Regulated Environment View (REV). Stock exchanges in this category include all transactions subject to supervision by the market authority, including transactions made by members, and sometimes non-members, on outside trading systems and transactions into foreign markets. Figures reported under the REV approach will be higher than those reported under the TSV approach.","^5:","Weighted average","^5<","Annual","^5?","Stock market size can be measured in various ways, and each may produce a different ranking of countries.\n\nThe development of an economy's financial markets is closely related to its overall development. Well-functioning financial systems provide good and easily accessible information which can lower transaction costs and subsequently improve resource allocation and boosts economic growth. Both banking systems and stock markets enhance growth, the main factor in poverty reduction. At low levels of economic development commercial banks tend to dominate the financial system, while at higher levels domestic stock markets tend to become more active and efficient relative to domestic banks.\n\nOpen economies with sound macroeconomic policies, good legal systems, and shareholder protection attract capital and therefore have larger financial markets. Recent research on stock market development shows that modern communications technology and increased financial integration have resulted in more cross-border capital flows, a stronger presence of financial firms around the world, and the migration of stock exchange activities to international exchanges. Many firms in emerging markets now cross-list on international exchanges, which provides them with lower cost capital and more liquidity-traded shares. However, this also means that exchanges in emerging markets may not have enough financial activity to sustain them, putting pressure on them to rethink their operations.","^4W","World Federation of Exchanges database.","^4Y","The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values.","^4V","Financial Sector: Capital markets","^4Q","CC BY-4.0","^5B","Data cover measures of size (market capitalization, number of listed domestic companies) and liquidity (value of shares traded as a percentage of gross domestic product, value of shares traded as a percentage of market capitalization). The comparability of such data across countries may be limited by conceptual and statistical weaknesses, such as inaccurate reporting and differences in accounting standards. Only EOB trades are included in the total value of shares traded.","^51","Stocks traded, total value","^50","World Federation of Exchanges database.","^4[","Stocks traded, total value (% of GDP)","^52","Stocks traded, total value (% of GDP)"]],"^4[",["^ ","^2","atom","^3","Stocks traded, total value (% of GDP)"],"id",["^ ","^2","atom","^3","CM.MKT.TRAD.GD.ZS"],"^53",["^ ","^2","atom","^3",[2020,["MU","LB","MA","DE","ID","BR","RO","GR","BB","BD","ES","BY","TR","JP","ZT","CR","IL","CO","VN","PE","NA","PS","IN","KY","ZA","MT","CL","PL","T2","JO","LU","CY","CZ","RU","CN","TZ","CH","KZ","T4","KW","NZ","BG","SA","MX","GH","AR","CA","IR","NG","MY","AT","PA","T5","JM","AE","KE","AU","HK","SI","T7","CI","HU","OM","EG","TH","LK","KR","QA","PH","BH"]]],"^54",["^ ","^2","atom","^3",["CM.MKT.TRAD.CD","CM.MKT.TRNR","CM.MKT.LCAP.GD.ZS","CM.MKT.INDX.ZG","CM.MKT.LCAP.CD","CM.MKT.LDOM.NO"]],"^51",["^ ","^2","atom","^3","Stocks traded, total value"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values."],"^50",["^ ","^2","atom","^3","World Federation of Exchanges database."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","7","^3","Financial Sector "]]],"^58",["^ ","^2","atom","^3","percent"]],"^1L",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","5.12"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Please cite the International Telecommunication Union for third-party use of these data.","^59","The Internet is a world-wide public computer network. It provides access to a number of communication services including the World Wide Web and carries email, news, entertainment and data files, irrespective of the device used (not assumed to be only via a computer - it may also be by mobile phone, PDA, games machine, digital TV etc.). Access can be via a fixed or mobile network. For additional/latest information on sources and country notes, please also refer to: https://www.itu.int/en/ITU-D/Statistics/Pages/stat/default.aspx","^5:","Weighted average","^5<","Annual","^5?","The digital and information revolution has changed the way the world learns, communicates, does business, and treats illnesses. New information and communications technologies (ICT) offer vast opportunities for progress in all walks of life in all countries - opportunities for economic growth, improved health, better service delivery, learning through distance education, and social and cultural advances.\n\nToday's smartphones and tablets have computer power equivalent to that of yesterday's computers and provide a similar range of functions. Device convergence is thus rendering the conventional definition obsolete.\n\nComparable statistics on access, use, quality, and affordability of ICT are needed to formulate growth-enabling policies for the sector and to monitor and evaluate the sector's impact on development. Although basic access data are available for many countries, in most developing countries little is known about who uses ICT; what they are used for (school, work, business, research, government); and how they affect people and businesses. The global Partnership on Measuring ICT for Development is helping to set standards, harmonize information and communications technology statistics, and build statistical capacity in developing countries. However, despite significant improvements in the developing world, the gap between the ICT haves and have-nots remains.","^4W","International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database","^4Y","Internet users are individuals who have used the Internet (from any location) in the last 3 months. The Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Internet users are individuals who have used the Internet (from any location) in the last 3 months. The Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc.","^4V","Infrastructure: Communications","^4Q","CC BY-4.0","^5B","Operators have traditionally been the main source of telecommunications data, so information on subscriptions has been widely available for most countries. This gives a general idea of access, but a more precise measure is the penetration rate - the share of households with access to telecommunications. During the past few years more information on information and communication technology use has become available from household and business surveys. Also important are data on actual use of telecommunications services. Ideally, statistics on telecommunications (and other information and communications technologies) should be compiled for all three measures: subscriptions, access, and use. The quality of data varies among reporting countries as a result of differences in regulations covering data provision and availability.\n\nDiscrepancies may also arise in cases where the end of a fiscal year differs from that used by ITU, which is the end of December of every year. A number of countries have fiscal years that end in March or June of every year.","^51","Individuals using the Internet","^50","International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database","^4[","Individuals using the Internet (% of population)","^52","Individuals using the Internet (% of population)"]],"^4[",["^ ","^2","atom","^3","Individuals using the Internet (% of population)"],"id",["^ ","^2","atom","^3","IT.NET.USER.ZS"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","PK","ST","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","BN","JP","AM","ZT","SY","IT","AL","HT","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","MV","IN","LS","DJ","LV","SC","ZA","T3","BO","HN","GM","ZM","MT","CL","PL","CD","T2","SK","NO","ZW","XG","NI","SV","SL","AO","LU","GT","AZ","CY","CZ","ET","EE","HR","RU","CN","TZ","FI","DK","PY","CH","RW","KZ","T4","KW","NZ","BF","BG","SA","BE","UY","MX","DO","MN","GH","AR","CA","IR","NG","CM","MM","SD","MY","AT","SE","PA","LR","LT","T5","AE","SN","CU","BA","LC","KE","GA","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","MO","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","QA","GD","BT","PH","BH","T6"]]],"^54",["^ ","^2","atom","^3",["IT.NET.SECR","IT.NET.BBND.P2","IT.NET.BBND","IT.NET.SECR.P6","IT.MLT.MAIN","IT.MLT.MAIN.P2","IT.CEL.SETS.P2","IT.CEL.SETS","IP.PAT.RESD"]],"^51",["^ ","^2","atom","^3","Individuals using the Internet"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Internet users are individuals who have used the Internet (from any location) in the last 3 months. The Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc."],"^50",["^ ","^2","atom","^3","International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database"],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","9","^3","Infrastructure "]]],"^58",["^ ","^2","atom","^3","percent"]],"^1M",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","5.11"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Please cite the International Telecommunication Union for third-party use of these data.","^59","Refers to the subscriptions to a public mobile telephone service and provides access to Public Switched Telephone Network (PSTN) using cellular technology, including number of pre-paid SIM cards active during the past three months. This includes both analogue and digital cellular systems (IMT-2000 (Third Generation, 3G) and 4G subscriptions, but excludes mobile broadband subscriptions via data cards or USB modems. Subscriptions to public mobile data services, private trunked mobile radio, telepoint or radio paging, and telemetry services should also be excluded. This should include all mobile cellular subscriptions that offer voice communications.\n\nData on mobile cellular subscribers are derived using administrative data that countries (usually the regulatory telecommunication authority or the Ministry in charge of telecommunications) regularly, and at least annually, collect from telecommunications operators.\n\nData for this indicator are readily available for approximately 90 percent of countries, either through ITU's World Telecommunication Indicators questionnaires or from official information available on the Ministry or Regulator's website. For the rest, information can be aggregated through operators' data (mainly through annual reports) and complemented by market research reports.\n\nMobile cellular subscriptions (per 100 people) indicator is derived by all mobile subscriptions divided by the country's population and multiplied by 100. For additional/latest information on sources and country notes, please also refer to: https://www.itu.int/en/ITU-D/Statistics/Pages/stat/default.aspx","^5:","Weighted average","^5<","Annual","^5?","The quality of an economy's infrastructure, including power and communications, is an important element in investment decisions for both domestic and foreign investors. Government effort alone is not enough to meet the need for investments in modern infrastructure; public-private partnerships, especially those involving local providers and financiers, are critical for lowering costs and delivering value for money. In telecommunications, competition in the marketplace, along with sound regulation, is lowering costs, improving quality, and easing access to services around the globe.\n\nAccess to telecommunication services rose on an unprecedented scale over the past two decades. This growth was driven primarily by wireless technologies and liberalization of telecommunications markets, which have enabled faster and less costly network rollout. The International Telecommunication Union (ITU) estimates that there were about 6 billion mobile subscriptions globally in the early 2010s. No technology has ever spread faster around the world. Mobile communications have a particularly important impact in rural areas. The mobility, ease of use, flexible deployment, and relatively low and declining rollout costs of wireless technologies enable them to reach rural populations with low levels of income and literacy. The next billion mobile subscribers will consist mainly of the rural poor. Access is the key to delivering telecommunications services to people. If the service is not affordable to most people, goals of universal usage will not be met.\n\nMobile cellular telephone subscriptions are subscriptions to a public mobile telephone service using cellular technology, which provide access to the public switched telephone network (PSTN) using cellular technology. It includes postpaid and prepaid subscriptions and includes analogue and digital cellular systems.\n\nOver the past decade new financing and technology, along with privatization and market liberalization, have spurred dramatic growth in telecommunications in many countries. With the rapid development of mobile telephony and the global expansion of the Internet, information and communication technologies are increasingly recognized as essential tools of development, contributing to global integration and enhancing public sector effectiveness, efficiency, and transparency.","^4W","International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database","^4Y","Mobile cellular telephone subscriptions are subscriptions to a public mobile telephone service that provide access to the PSTN using cellular technology. The indicator includes (and is split into) the number of postpaid subscriptions, and the number of active prepaid accounts (i.e. that have been used during the last three months). The indicator applies to all mobile cellular subscriptions that offer voice communications. It excludes subscriptions via data cards or USB modems, subscriptions to public mobile data services, private trunked mobile radio, telepoint, radio paging and telemetry services.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Mobile cellular telephone subscriptions are subscriptions to a public mobile telephone service that provide access to the PSTN using cellular technology. The indicator includes (and is split into) the number of postpaid subscriptions, and the number of active prepaid accounts (i.e. that have been used during the last three months). The indicator applies to all mobile cellular subscriptions that offer voice communications. It excludes subscriptions via data cards or USB modems, subscriptions to public mobile data services, private trunked mobile radio, telepoint, radio paging and telemetry services.","^4V","Infrastructure: Communications","^4Q","CC BY-4.0","^5B","Operators have traditionally been the main source of telecommunications data, so information on subscriptions has been widely available for most countries. This gives a general idea of access, but a more precise measure is the penetration rate - the share of households with access to telecommunications. During the past few years more information on information and communication technology use has become available from household and business surveys. Also important are data on actual use of telecommunications services. Ideally, statistics on telecommunications (and other information and communications technologies) should be compiled for all three measures: subscriptions, access, and use. The quality of data varies among reporting countries as a result of differences in regulations covering data provision and availability.\n\nDiscrepancies between global and national figures may arise when countries use a different definition than the one used by ITU. For example, some countries do not include the number of ISDN channels when calculating the number of fixed telephone lines. Discrepancies may also arise in cases where the end of a fiscal year differs from that used by ITU, which is the end of December of every year. A number of countries have fiscal years that end in March or June of every year. Data are usually not adjusted but discrepancies in the definition, reference year or the break in comparability in between years are noted in a data note. For this reason, data are not always strictly comparable. Missing values are estimated by ITU.\n\nMobile subscriptions include both analogue and digital cellular systems (IMT-2000 (Third Generation, 3G) and 4G subscriptions, but excludes mobile broadband subscriptions via data cards or USB modems. Subscriptions to public mobile data services, private trunked mobile radio, telepoint or radio paging, and telemetry services are also excluded, but all mobile cellular subscriptions that offer voice communications are included. Both postpaid and prepaid subscriptions are included.","^51","Mobile cellular subscriptions","^50","International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database","^4[","Mobile cellular subscriptions (per 100 people)","^52","Mobile cellular subscriptions (per 100 people)"]],"^4[",["^ ","^2","atom","^3","Mobile cellular subscriptions (per 100 people)"],"id",["^ ","^2","atom","^3","IT.CEL.SETS.P2"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","VI","LB","MA","TL","LA","MR","DE","ID","GE","TN","AW","BR","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","MC","SY","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","IN","LS","DJ","LV","TM","SM","IQ","ER","PW","KY","SC","ZA","LY","T3","BO","FO","HN","GM","ZM","MT","CL","KP","YE","PL","CD","T2","JO","SK","NO","ZW","XG","KN","NI","PR","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","LI","SD","MY","WS","VG","AT","SB","SE","KH","PA","LR","AD","MD","LT","T5","JM","GL","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","BM","GA","GI","KG","NR","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","QA","GD","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["IT.CEL.SETS","IT.MLT.MAIN","IT.MLT.MAIN.P2","IT.NET.SECR","IT.NET.BBND.P2","IT.NET.USER.ZS","IT.NET.BBND","IT.NET.SECR.P6","IP.PAT.RESD"]],"^51",["^ ","^2","atom","^3","Mobile cellular subscriptions"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Mobile cellular telephone subscriptions are subscriptions to a public mobile telephone service that provide access to the PSTN using cellular technology. The indicator includes (and is split into) the number of postpaid subscriptions, and the number of active prepaid accounts (i.e. that have been used during the last three months). The indicator applies to all mobile cellular subscriptions that offer voice communications. It excludes subscriptions via data cards or USB modems, subscriptions to public mobile data services, private trunked mobile radio, telepoint, radio paging and telemetry services."],"^50",["^ ","^2","atom","^3","International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database"],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","9","^3","Infrastructure "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^1N",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","5.12"],"^4T",["^ ","^2","atom","^3",2],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Please cite the International Telecommunication Union for third-party use of these data.","^59","Data refer to subscriptions to high-speed access to the public Internet (a TCP/IP connection), at downstream speeds equal to, or greater than, 256 kbit/s. This includes cable modem, DSL, fibre-to-the-home/building and other fixed (wired)-broadband subscriptions. This total is measured irrespective of the method of payment. It excludes subscriptions that have access to data communications (including the Internet) via mobile-cellular networks. It excludes technologies listed under the wireless-broadband category.\n\nFixed broadband Internet subscribers per 100 people is obtained by dividing the number of fixed broadband Internet subscribers by the population and then multiplying by 100. For additional/latest information on sources and country notes, please also refer to: https://www.itu.int/en/ITU-D/Statistics/Pages/stat/default.aspx","^5:","Weighted average","^5<","Annual","^5?","The quality of an economy's infrastructure, including power and communications, is an important element in investment decisions for both domestic and foreign investors. Government effort alone is not enough to meet the need for investments in modern infrastructure; public-private partnerships, especially those involving local providers and financiers, are critical for lowering costs and delivering value for money. In telecommunications, competition in the marketplace, along with sound regulation, is lowering costs, improving quality, and easing access to services around the globe.\n\nComparable statistics on access, use, quality, and affordability of ICT are needed to formulate growth-enabling policies for the sector and to monitor and evaluate the sector's impact on development. Although basic access data are available for many countries, in most developing countries little is known about who uses ICT; what they are used for (school, work, business, research, government); and how they affect people and businesses. The global Partnership on Measuring ICT for Development is helping to set standards, harmonize information and communications technology statistics, and build statistical capacity in developing countries. However, despite significant improvements in the developing world, the gap between the ICT haves and have-nots remains.\n\nThere are several economic gains associated with broadband. For example, with DSL, users can use a single standard phone line for both voice and data services. This enables them to surf the Internet and call a friend at the same time - all using the same phone line. Broadband also enhances many Internet applications such as new e-government services like electronic tax filing, online health care services, e-learning and increased levels of electronic commerce.\n\nAccess to telecommunication services rose on an unprecedented scale over the past two decades. This growth was driven primarily by wireless technologies and liberalization of telecommunications markets, which have enabled faster and less costly network rollout. Mobile communications have a particularly important impact in rural areas. The mobility, ease of use, flexible deployment, and relatively low and declining rollout costs of wireless technologies enable them to reach rural populations with low levels of income and literacy. The next billion mobile subscribers will consist mainly of the rural poor. Access is the key to delivering telecommunications services to people. If the service is not affordable to most people, goals of universal usage will not be met.\n\nOver the past decade new financing and technology, along with privatization and market liberalization, have spurred dramatic growth in telecommunications in many countries. With the rapid development of mobile telephony and the global expansion of the Internet, information and communication technologies are increasingly recognized as essential tools of development, contributing to global integration and enhancing public sector effectiveness, efficiency, and transparency.","^4W","International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database","^4Y","Fixed broadband subscriptions refers to fixed subscriptions to high-speed access to the public Internet (a TCP/IP connection), at downstream speeds equal to, or greater than, 256 kbit/s. This includes cable modem, DSL, fiber-to-the-home/building, other fixed (wired)-broadband subscriptions, satellite broadband and terrestrial fixed wireless broadband. This total is measured irrespective of the method of payment. It excludes subscriptions that have access to data communications (including the Internet) via mobile-cellular networks. It should include fixed WiMAX and any other fixed wireless technologies. It includes both residential subscriptions and subscriptions for organizations.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Fixed broadband subscriptions refers to fixed subscriptions to high-speed access to the public Internet (a TCP/IP connection), at downstream speeds equal to, or greater than, 256 kbit/s. This includes cable modem, DSL, fiber-to-the-home/building, other fixed (wired)-broadband subscriptions, satellite broadband and terrestrial fixed wireless broadband. This total is measured irrespective of the method of payment. It excludes subscriptions that have access to data communications (including the Internet) via mobile-cellular networks. It should include fixed WiMAX and any other fixed wireless technologies. It includes both residential subscriptions and subscriptions for organizations.","^4V","Infrastructure: Communications","^4Q","CC BY-4.0","^5B","Data are collected by national statistics offices through household surveys. Because survey questions and definitions differ, the estimates may not be strictly comparable across countries.\n\nFixed broadband Internet includes cable modem, DSL, fibre and other fixed broadband technology (such as satellite broadband Internet, Ethernet LANs, fixed-wireless access, Wireless Local Area Network, WiMAX etc.). Subscribers with access to data communications (including the Internet) via mobile cellular networks are excluded.\n\nAdvertised and real speeds can differ substantially. In some countries, regulatory authorities monitor the speed and quality of broadband services and oblige operators to provide accurate quality-of-service information to end users. Regional and global totals are calculated as unweighted sums of the country values. Regional and global penetration rates (per 100 inhabitants) are weighted averages of the country values weighted by the population of the countries/regions.\n\nDiscrepancies between global and national figures may arise when countries use a different definition than the one used by ITU. Discrepancies may also arise in cases where the end of a fiscal year differs from that used by ITU, which is end of December of every year. A number of countries have fiscal years that end in March or June of every year.","^51","Fixed broadband subscriptions","^50","International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database","^4[","Fixed broadband subscriptions (per 100 people)","^52","Fixed broadband subscriptions (per 100 people)"]],"^4[",["^ ","^2","atom","^3","Fixed broadband subscriptions (per 100 people)"],"id",["^ ","^2","atom","^3","IT.NET.BBND.P2"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","LB","MA","TL","LA","MR","DE","ID","GE","TN","AW","BR","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","MC","SY","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CR","GN","IL","CO","BS","VN","PE","NA","ML","PS","KM","MV","IN","LS","DJ","LV","TM","SM","IQ","ER","KY","SC","ZA","LY","T3","BO","FO","HN","GM","ZM","MT","CL","YE","PL","CD","T2","JO","SK","NO","ZW","XG","KN","NI","PR","SV","SZ","AG","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","LI","SD","MY","WS","VG","AT","SB","SE","KH","PA","LR","AD","MD","LT","T5","JM","GL","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","BM","GA","GI","KG","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","GU","QA","GD","BT","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["IT.NET.BBND","IT.NET.SECR","IT.NET.USER.ZS","IT.NET.SECR.P6","IT.MLT.MAIN","IT.MLT.MAIN.P2","IT.CEL.SETS.P2","IT.CEL.SETS","IP.PAT.RESD"]],"^51",["^ ","^2","atom","^3","Fixed broadband subscriptions"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Fixed broadband subscriptions refers to fixed subscriptions to high-speed access to the public Internet (a TCP/IP connection), at downstream speeds equal to, or greater than, 256 kbit/s. This includes cable modem, DSL, fiber-to-the-home/building, other fixed (wired)-broadband subscriptions, satellite broadband and terrestrial fixed wireless broadband. This total is measured irrespective of the method of payment. It excludes subscriptions that have access to data communications (including the Internet) via mobile-cellular networks. It should include fixed WiMAX and any other fixed wireless technologies. It includes both residential subscriptions and subscriptions for organizations."],"^50",["^ ","^2","atom","^3","International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database"],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","9","^3","Infrastructure "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^1O",["^ ","^4Q",["^ ","^2","atom","^3","Use and distribution of these data are subject to IEA terms and conditions."],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://www.iea.org/t&c/termsandconditions"],"^4S",["^ ","^2","atom","^3","3.6"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Restricted use: Please contact the International Energy Agency for third-party use of these data.","^59","Energy data are compiled by the International Energy Agency (IEA). IEA data for economies that are not members of the Organisation for Economic Co-operation and Development (OECD) are based on national energy data adjusted to conform to annual questionnaires completed by OECD member governments.","^5:","Weighted average","^5<","Annual","^5?","Alternative energy is produced without the undesirable consequences of the burning of fossil fuels, such as high carbon dioxide emissions, which is considered to be the major contributing factor of global warming.\n\nPast few decade have seen a rise in global investment in renewable energy, led by wind and solar. In transport, major car companies are adding hybrid and full-electric vehicles to their product lines and many governments have launched plans to encourage consumers to buy these vehicles Fossil fuels continue to outpace alternative and renewable energy growth. Coal has been the fastest-growing global energy source, meeting about one-half of new electricity demand.\n\nTotal energy use refers to the use of primary energy before transformation to other end-use fuels (such as electricity and refined petroleum products). It includes energy from combustible renewables and waste - solid biomass and animal products, gas and liquid from biomass, and industrial and municipal waste. Biomass is any plant matter used directly as fuel or converted into fuel, heat, or electricity.\n\nGovernments in many countries are increasingly aware of the urgent need to make better use of the world's energy resources. Improved energy efficiency is often the most economic and readily available means of improving energy security and reducing greenhouse gas emissions.","^4W","IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/","^4Y","Clean energy is noncarbohydrate energy that does not produce carbon dioxide when generated. It includes hydropower and nuclear, geothermal, and solar power, among others.","^4R","https://web.archive.org/web/20220510201529/http://www.iea.org/t&c/termsandconditions","^4Z","Clean energy is noncarbohydrate energy that does not produce carbon dioxide when generated. It includes hydropower and nuclear, geothermal, and solar power, among others.","^4V","Environment: Energy production & use","^4Q","Use and distribution of these data are subject to IEA terms and conditions.","^5B","The IEA makes these estimates in consultation with national statistical offices, oil companies, electric utilities, and national energy experts. The IEA occasionally revises its time series to reflect political changes, and energy statistics undergo continual changes in coverage or methodology as more detailed energy accounts become available. Breaks in series are therefore unavoidable.","^51","Alternative and nuclear energy","^50","IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/","^4[","Alternative and nuclear energy (% of total energy use)","^52","Alternative and nuclear energy (% of total energy use)"]],"^4[",["^ ","^2","atom","^3","Alternative and nuclear energy (% of total energy use)"],"id",["^ ","^2","atom","^3","EG.USE.COMM.CL.ZS"],"^53",["^ ","^2","atom","^3",[2015,["DE","GR","ES","TR","US","IE","JP","ZT","IT","PT","FR","IL","CL","PL","T2","SK","NO","LU","CZ","EE","FI","DK","CH","NZ","BE","MX","CA","AT","SE","AU","IS","SI","T7","NL","HU","GB","KR"]]],"^54",["^ ","^2","atom","^3",["EG.USE.COMM.FO.ZS","EG.USE.COMM.GD.PP.KD","EG.USE.PCAP.KG.OE","EG.USE.ELEC.KH.PC","EG.USE.CRNW.ZS","EG.ELC.PETR.ZS","EG.CFT.ACCS.RU.ZS","EG.ELC.RNWX.KH","EG.ELC.NUCL.ZS"]],"^51",["^ ","^2","atom","^3","Alternative and nuclear energy"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Clean energy is noncarbohydrate energy that does not produce carbon dioxide when generated. It includes hydropower and nuclear, geothermal, and solar power, among others."],"^50",["^ ","^2","atom","^3","IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/"],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://www.iea.org/stats/index.asp"],"^57",["^ ","^2","atom","^3",[["^ ","id","5","^3","Energy & Mining "]]],"^58",["^ ","^2","atom","^3","percent"]],"^1P",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","3.7"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Environment: Energy production & use","^59","Data for access to electricity are collected among different sources: mostly data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Given the low frequency and the regional distribution of some surveys, a number of countries have gaps in available data. To develop the historical evolution and starting point of electrification rates, a simple modeling approach was adopted to fill in the missing data points - around 1990, around 2000, and around 2010. Therefore, a country can have a continuum of zero to three data points. There are 42 countries with zero data point and the weighted regional average was used as an estimate for electrification in each of the data periods. 170 countries have between one and three data points and missing data are estimated by using a model with region, country, and time variables. The model keeps the original observation if data is available for any of the time periods. This modeling approach allowed the estimation of electrification rates for 212 countries over these three time periods (Indicated as \"Estimate\"). Notation \"Assumption\" refers to the assumption of universal access in countries classified as developed by the United Nations. Data begins from the year in which the first survey data is available for each country.","^5:","Weighted average","^5<","Annual","^5?","Maintaining reliable and secure electricity services while seeking to rapidly decarbonize power systems is a key challenge for countries throughout the world. More and more countries are becoming increasing dependent on reliable and secure electricity supplies to underpin economic growth and community prosperity. This reliance is set to grow as more efficient and less carbon intensive forms of power are developed and deployed to help decarbonize economies.\n\nEnergy is necessary for creating the conditions for economic growth. It is impossible to operate a factory, run a shop, grow crops or deliver goods to consumers without using some form of energy. Access to electricity is particularly crucial to human development as electricity is, in practice, indispensable for certain basic activities, such as lighting, refrigeration and the running of household appliances, and cannot easily be replaced by other forms of energy. Individuals' access to electricity is one of the most clear and un-distorted indication of a country's energy poverty status.\n\nElectricity access is increasingly at the forefront of governments' preoccupations, especially in the developing countries. As a consequence, a lot of rural electrification programs and national electrification agencies have been created in these countries to monitor more accurately the needs and the status of rural development and electrification.\n\nUse of energy is important in improving people's standard of living. But electricity generation also can damage the environment. Whether such damage occurs depends largely on how electricity is generated. For example, burning coal releases twice as much carbon dioxide - a major contributor to global warming - as does burning an equivalent amount of natural gas.","^4W","World Bank Global Electrification Database from \"Tracking SDG 7: The Energy Progress Report\" led jointly by the custodian agencies: the International Energy Agency (IEA), the International Renewable Energy Agency (IRENA), the United Nations Statistics Division (UNSD), the World Bank and the World Health Organization (WHO).","^4Y","Access to electricity is the percentage of population with access to electricity. Electrification data are collected from industry, national surveys and international sources.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Access to electricity is the percentage of population with access to electricity. Electrification data are collected from industry, national surveys and international sources.","^4Q","CC BY-4.0","^4[","Access to electricity (% of population)","^50","World Bank Global Electrification Database from \"Tracking SDG 7: The Energy Progress Report\" led jointly by the custodian agencies: the International Energy Agency (IEA), the International Renewable Energy Agency (IRENA), the United Nations Statistics Division (UNSD), the World Bank and the World Health Organization (WHO).","^51","Access to electricity","^52","Access to electricity (% of population)"]],"^4[",["^ ","^2","atom","^3","Access to electricity (% of population)"],"id",["^ ","^2","atom","^3","EG.ELC.ACCS.ZS"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","VI","LB","MA","TL","LA","MR","DE","ID","GE","TN","AW","BR","MF","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","SX","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","MC","SY","SO","IT","AL","HT","CG","KI","MK","JG","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","IN","LS","DJ","LV","TM","SM","IQ","ER","PW","KY","SC","ZA","LY","T3","BO","FO","HN","GM","ZM","MT","CL","KP","YE","PL","TC","CD","T2","JO","SK","NO","ZW","XG","KN","NI","PR","SV","IM","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","LI","SD","MY","WS","VG","AT","SB","SE","KH","PA","LR","AD","MP","MD","LT","T5","JM","GL","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","BM","GA","GI","KG","NR","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","GU","QA","GD","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["EG.ELC.ACCS.UR.ZS","EG.ELC.ACCS.RU.ZS","EG.ELC.PETR.ZS","EG.ELC.RNWX.KH","EG.ELC.NUCL.ZS","EG.ELC.LOSS.ZS","EG.ELC.FOSL.ZS","EG.ELC.COAL.ZS","EG.ELC.HYRO.ZS"]],"^51",["^ ","^2","atom","^3","Access to electricity"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Access to electricity is the percentage of population with access to electricity. Electrification data are collected from industry, national surveys and international sources."],"^50",["^ ","^2","atom","^3","World Bank Global Electrification Database from \"Tracking SDG 7: The Energy Progress Report\" led jointly by the custodian agencies: the International Energy Agency (IEA), the International Renewable Energy Agency (IRENA), the United Nations Statistics Division (UNSD), the World Bank and the World Health Organization (WHO)."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","5","^3","Energy & Mining "],["^ ","id","19","^3","Climate Change"],["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","percent"]],"^1Q",["^ ","^4Q",["^ ","^2","atom","^3","Use and distribution of these data are subject to IEA terms and conditions."],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://www.iea.org/t&c/termsandconditions"],"^4S",["^ ","^2","atom","^3","5.11"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Restricted use: Please contact the International Energy Agency for third-party use of these data.","^59","Electric power consumption per capita (kWh ) is the production of power plants and combined heat and power plants less transmission, distribution, and transformation losses and own use by heat and power plants, divided by midyear population. Energy data are compiled by the International Energy Agency (IEA). IEA data for economies that are not members of the Organisation for Economic Co-operation and Development (OECD) are based on national energy data adjusted to conform to annual questionnaires completed by OECD member governments. Electricity consumption is equivalent to production less power plants' own use and transmission, distribution, and transformation losses less exports plus imports. It includes consumption by auxiliary stations, losses in transformers that are considered integral parts of those stations, and electricity produced by pumping installations. Where data are available, it covers electricity generated by primary sources of energy - coal, oil, gas, nuclear, hydro, geothermal, wind, tide and wave, and combustible renewables. Neither production nor consumption data capture the reliability of supplies, including breakdowns, load factors, and frequency of outages.","^5:","Weighted average","^5<","Annual","^5?","An economy's production and consumption of electricity are basic indicators of its size and level of development. Although a few countries export electric power, most production is for domestic consumption. Expanding the supply of electricity to meet the growing demand of increasingly urbanized and industrialized economies without incurring unacceptable social, economic, and environmental costs is one of the great challenges facing developing countries.\n\nModern societies are becoming increasing dependent on reliable and secure electricity supplies to underpin economic growth and community prosperity. This reliance is set to grow as more efficient and less carbon intensive forms of power are developed and deployed to help decarbonize economies. Maintaining reliable and secure electricity services while seeking to rapidly decarbonize power systems is a key challenge for countries throughout the world.\n\nIn developing economies growth in energy use is closely related to growth in the modern sectors - industry, motorized transport, and urban areas - but energy use also reflects climatic, geographic, and economic factors (such as the relative price of energy). Energy use has been growing rapidly in low- and middle-income economies, but high-income economies still use almost five times as much energy on a per capita basis.\n\nGovernments in many countries are increasingly aware of the urgent need to make better use of the world's energy resources. Improved energy efficiency is often the most economic and readily available means of improving energy security and reducing greenhouse gas emissions.","^4W","IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/","^4Y","Electric power consumption measures the production of power plants and combined heat and power plants less transmission, distribution, and transformation losses and own use by heat and power plants.","^4R","https://web.archive.org/web/20220510201529/http://www.iea.org/t&c/termsandconditions","^4Z","Electric power consumption measures the production of power plants and combined heat and power plants less transmission, distribution, and transformation losses and own use by heat and power plants.","^4V","Environment: Energy production & use","^4Q","Use and distribution of these data are subject to IEA terms and conditions.","^5B","Data on electric power production and consumption are collected from national energy agencies by the International Energy Agency (IEA) and adjusted by the IEA to meet international definitions. Data are reported as net consumption as opposed to gross consumption. Net consumption excludes the energy consumed by the generating units. For all countries except the United States, total electric power consumption is equal total net electricity generation plus electricity imports minus electricity exports minus electricity distribution losses.\n\nThe IEA makes these estimates in consultation with national statistical offices, oil companies, electric utilities, and national energy experts. The IEA occasionally revises its time series to reflect political changes, and energy statistics undergo continual changes in coverage or methodology as more detailed energy accounts become available. Breaks in series are therefore unavoidable.","^51","Electric power consumption","^50","IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/","^4[","Electric power consumption (kWh per capita)","^52","Electric power consumption (kWh per capita)"]],"^4[",["^ ","^2","atom","^3","Electric power consumption (kWh per capita)"],"id",["^ ","^2","atom","^3","EG.USE.ELEC.KH.PC"],"^53",["^ ","^2","atom","^3",[2019,["ID"]]],"^54",["^ ","^2","atom","^3",["EG.USE.COMM.CL.ZS","EG.USE.PCAP.KG.OE","EG.USE.COMM.FO.ZS","EG.USE.COMM.GD.PP.KD","EG.USE.CRNW.ZS","EG.ELC.PETR.ZS","EG.CFT.ACCS.RU.ZS","EG.ELC.RNWX.KH","EG.ELC.NUCL.ZS"]],"^51",["^ ","^2","atom","^3","Electric power consumption"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Electric power consumption measures the production of power plants and combined heat and power plants less transmission, distribution, and transformation losses and own use by heat and power plants."],"^50",["^ ","^2","atom","^3","IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/"],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://www.iea.org/stats/index.asp"],"^57",["^ ","^2","atom","^3",[["^ ","id","5","^3","Energy & Mining "],["^ ","id","19","^3","Climate Change"],["^ ","id","9","^3","Infrastructure "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^1R",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^59","Data for access to clean fuels and technologies for cooking are based on the World Health Organization’s (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall ‘polluting’ fuels (unprocessed biomass, charcoal, coal, and kerosene) and ‘clean’ fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking.","^5:","Weighted average","^5<","Annual","^4V","Environment: Energy production & use","^4W","WHO Global Health Observatory (https://www.who.int/data/gho/data/themes/air-pollution/household-air-pollution)","^4Y","Access to clean fuels and technologies for cooking is the proportion of total population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Access to clean fuels and technologies for cooking is the proportion of total population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels.","^4Q","CC BY-4.0","^4[","Access to clean fuels and technologies for cooking (% of population)","^50","World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.","^51","Access to clean fuels and technologies for cooking","^52","Access to clean fuels and technologies for cooking (% of population)"]],"^4[",["^ ","^2","atom","^3","Access to clean fuels and technologies for cooking (% of population)"],"id",["^ ","^2","atom","^3","EG.CFT.ACCS.ZS"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","MA","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","ST","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","MC","SY","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","KM","MV","IN","LS","DJ","LV","TM","SM","IQ","ER","PW","SC","ZA","T3","BO","HN","GM","ZM","MT","CL","KP","YE","PL","CD","T2","JO","SK","NO","ZW","XG","KN","NI","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BF","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","AD","MD","LT","T5","JM","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","GA","KG","NR","AU","DZ","UZ","UG","SG","IS","RS","SI","T7","GY","CI","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","QA","GD","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["EG.CFT.ACCS.RU.ZS","EG.CFT.ACCS.UR.ZS","EG.ELC.PETR.ZS","EG.USE.COMM.CL.ZS","EG.ELC.RNWX.KH","EG.ELC.NUCL.ZS","EG.ELC.LOSS.ZS","EG.FEC.RNEW.ZS","EG.USE.PCAP.KG.OE"]],"^51",["^ ","^2","atom","^3","Access to clean fuels and technologies for cooking"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Access to clean fuels and technologies for cooking is the proportion of total population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels."],"^50",["^ ","^2","atom","^3","World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","percent"]],"^1S",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","2.6"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Social Protection & Labor: Economic activity","^59","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.","^5<","Annual","^5?","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.","^4W","Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.","^4Y","Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey.","^4Q","CC BY-4.0","^5B","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.","^4[","Children in employment, total (% of children ages 7-14)","^50","Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.","^51","Children in employment, total","^52","Children in employment, total (% of children ages 7-14)"]],"^4[",["^ ","^2","atom","^3","Children in employment, total (% of children ages 7-14)"],"id",["^ ","^2","atom","^3","SL.TLF.0714.ZS"],"^53",["^ ","^2","atom","^3",[2016,["CR","JO"]]],"^54",["^ ","^2","atom","^3",["SL.TLF.0714.SW.TM","SL.TLF.0714.SW.FE.TM","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"]],"^51",["^ ","^2","atom","^3","Children in employment, total"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^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."],"^50",["^ ","^2","atom","^3","Understanding Children's Work project based on data from ILO, UNICEF and the World Bank."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","10","^3","Social Protection & Labor"],["^ ","id","15","^3","Social Development "]]],"^58",["^ ","^2","atom","^3","percent"]],"^1T",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","2.6"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Social Protection & Labor: Economic activity","^59","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.","^5<","Annual","^5?","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.","^4W","Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.","^4Y","Unpaid family workers are people who work without pay in a market-oriented establishment operated by a related person living in the same household.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Unpaid family workers are people who work without pay in a market-oriented establishment operated by a related person living in the same household.","^4Q","CC BY-4.0","^5B","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. In addition, the shares of three categories (self-employed workers, wage workers, and unpaid family workers) may not add up to 100 percent because of a residual category not included.","^4[","Children in employment, unpaid family workers (% of children in employment, ages 7-14)","^50","Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.","^51","Children in employment, unpaid family workers","^52","Children in employment, unpaid family workers (% of children in employment, ages 7-14)"]],"^4[",["^ ","^2","atom","^3","Children in employment, unpaid family workers (% of children in employment, ages 7-14)"],"id",["^ ","^2","atom","^3","SL.FAM.0714.ZS"],"^53",["^ ","^2","atom","^3",[2016,["CR","JO"]]],"^54",["^ ","^2","atom","^3",["SL.FAM.0714.MA.ZS","SL.FAM.0714.FE.ZS","SL.FAM.WORK.ZS","SL.FAM.WORK.MA.ZS","SL.FAM.WORK.FE.ZS","SL.EMP.VULN.ZS","SL.TLF.0714.SW.TM","SL.TLF.CACT.NE.ZS","SL.SLF.0714.FE.ZS"]],"^51",["^ ","^2","atom","^3","Children in employment, unpaid family workers"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Unpaid family workers are people who work without pay in a market-oriented establishment operated by a related person living in the same household."],"^50",["^ ","^2","atom","^3","Understanding Children's Work project based on data from ILO, UNICEF and the World Bank."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","10","^3","Social Protection & Labor"]]],"^58",["^ ","^2","atom","^3","percent"]],"^1U",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5<","Annual","^4V","Social Protection & Labor: Performance","^4W","ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)","^4Y","Coverage of social protection and labor programs (SPL) shows the percentage of population participating in social insurance, social safety net, and unemployment benefits and active labor market programs. Estimates include both direct and indirect beneficiaries.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Coverage of social protection and labor programs (SPL) shows the percentage of population participating in social insurance, social safety net, and unemployment benefits and active labor market programs. Estimates include both direct and indirect beneficiaries.","^4Q","CC BY-4.0","^5B","When interpreting ASPIRE performance indicators based on household surveys, it is important to note that the extent to which information on specific transfers and programs is captured in the household surveys can vary a lot across countries. Moreover, household surveys do not capture the universe of social protection programs in the country, in best practice cases just the largest programs. As a consequence, ASPIRE indicators are not fully comparable across program categories and countries; however, they provide approximate measures of social protection systems performance. In addition, there may be cases where ASPIRE performance indicators differ from official WB country reports as ASPIRE indicators are based on a first level analysis of original survey data and unified methodology that does not necessarily reflect country-specific knowledge and in depth country analysis relying on administrative program level data and/or imputations.","^4[","Coverage of social protection and labor programs (% of population)","^50","ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)","^51","Coverage of social protection and labor programs","^52","Coverage of social protection and labor programs (% of population)"]],"^4[",["^ ","^2","atom","^3","Coverage of social protection and labor programs (% of population)"],"id",["^ ","^2","atom","^3","per_allsp.cov_pop_tot"],"^53",["^ ","^2","atom","^3",[2019,["ID","BR","EC","BY","TR","CR","CO","PE","BO","ZW","SV","PY","UY","DO","AR","PA"]]],"^54",["^ ","^2","atom","^3",["per_sa_allsa.cov_pop_tot","per_lm_alllm.cov_pop_tot","per_si_allsi.cov_pop_tot","per_allsp.ben_q1_tot","per_allsp.adq_pop_tot","per_lm_alllm.ben_q1_tot","per_si_allsi.cov_q4_tot","per_sa_allsa.cov_q2_tot","per_lm_alllm.cov_q4_tot"]],"^51",["^ ","^2","atom","^3","Coverage of social protection and labor programs"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Coverage of social protection and labor programs (SPL) shows the percentage of population participating in social insurance, social safety net, and unemployment benefits and active labor market programs. Estimates include both direct and indirect beneficiaries."],"^50",["^ ","^2","atom","^3","ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/)"],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","10","^3","Social Protection & Labor"]]],"^58",["^ ","^2","atom","^3","percent"]],"^1V",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","4.14"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^59","The IMF's Government Finance Statistics Manual 2014, harmonized with the 2008 SNA, recommends an accrual accounting method, focusing on all economic events affecting assets, liabilities, revenues, and expenses, not just those represented by cash transactions. It accounts for all changes in stocks, so stock data at the end of an accounting period equal stock data at the beginning of the period plus flows over the period. The 1986 manual considered only debt stocks.\n\nGovernment finance statistics are reported in local currency. Many countries report government finance data by fiscal year; see country metadata for information on fiscal year end by country.","^5:","Median","^5<","Annual","^4V","Public Sector: Government finance: Revenue","^4W","International Monetary Fund, Government Finance Statistics Yearbook and data files.","^4Y","Social contributions include social security contributions by employees, employers, and self-employed individuals, and other contributions whose source cannot be determined. They also include actual or imputed contributions to social insurance schemes operated by governments.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Social contributions include social security contributions by employees, employers, and self-employed individuals, and other contributions whose source cannot be determined. They also include actual or imputed contributions to social insurance schemes operated by governments.","^4Q","CC BY-4.0","^5B","For most countries central government finance data have been consolidated into one account, but for others only budgetary central government accounts are available. Countries reporting budgetary data are noted in the country metadata. Because budgetary accounts may not include all central government units (such as social security funds), they usually provide an incomplete picture. In federal states the central government accounts provide an incomplete view of total public finance.\n\nData on government revenue and expense are collected by the IMF through questionnaires to member countries and by the Organisation for Economic Co-operation and Development (OECD). Despite IMF efforts to standardize data collection, statistics are often incomplete, untimely, and not comparable across countries.","^4[","Social contributions (% of revenue)","^50","International Monetary Fund, Government Finance Statistics Yearbook and data files.","^51","Social contributions","^52","Social contributions (% of revenue)"]],"^4[",["^ ","^2","atom","^3","Social contributions (% of revenue)"],"id",["^ ","^2","atom","^3","GC.REV.SOCL.ZS"],"^53",["^ ","^2","atom","^3",[2020,["GE","TR","US","MW","SB"]]],"^54",["^ ","^2","atom","^3",["GC.REV.SOCL.CN","GC.REV.GOTR.ZS","GC.REV.XGRT.CN","GC.REV.GOTR.CN","GC.REV.XGRT.GD.ZS","GC.XPN.TOTL.GD.ZS","GC.TAX.TOTL.CN","GC.TAX.YPKG.CN","GC.DOD.TOTL.GD.ZS"]],"^51",["^ ","^2","atom","^3","Social contributions"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Social contributions include social security contributions by employees, employers, and self-employed individuals, and other contributions whose source cannot be determined. They also include actual or imputed contributions to social insurance schemes operated by governments."],"^50",["^ ","^2","atom","^3","International Monetary Fund, Government Finance Statistics Yearbook and data files."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","13","^3","Public Sector "]]],"^58",["^ ","^2","atom","^3","percent"]],"^1W",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","3.5"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Environment: Freshwater","^59","Annual freshwater withdrawals are total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenewable aquifers or desalination plants is considerable or where water reuse is significant. Withdrawals for agriculture and industry are total withdrawals for irrigation and livestock production and for direct industrial use (including for cooling thermoelectric plants). Withdrawals for domestic uses include drinking water, municipal use or supply, and use for public services, commercial establishments, and homes.","^5:","Weighted average","^5<","Annual","^5?","While some countries have an abundant supply of fresh water, others do not have as much. UN estimates that many areas of the world are already experiencing stress on water availability. Due to the accelerated pace of population growth and an increase in the amount of water a single person uses, it is expected that this situation will continue to get worse. The ability of developing countries to make more water available for domestic, agricultural, industrial and environmental uses will depend on better management of water resources and more cross-sectorial planning and integration. According to World Water Council, by 2020, water use is expected to increase by 40 percent, and 17 percent more water will be required for food production to meet the needs of the growing population. The three major factors causing increasing water demand over the past century are population growth, industrial development and the expansion of irrigated agriculture.\n\nThere is now ample evidence that increased hydrologic variability and change in climate has and will continue to have a profound impact on the water sector through the hydrologic cycle, water availability, water demand, and water allocation at the global, regional, basin, and local levels. Properly managed water resources are a critical component of growth, poverty reduction and equity. The livelihoods of the poorest are critically associated with access to water services. A shortage of water in the future would be detrimental to the human population as it would affect everything from sanitation, to overall health and the production of grain.\n\nFreshwater use by continents is partly based on several socio-economic development factors, including population, physiography, and climatic characteristics. It is estimated that in the coming decades the most intensive growth of water withdrawal is expected to occur in Africa and South America (increasing by 1.5-1.6 times), while the smallest growth will take place in Europe and North America (1.2 times).","^4W","Food and Agriculture Organization, AQUASTAT data.","^4Y","Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenewable aquifers or desalination plants is considerable or where there is significant water reuse. Withdrawals for agriculture and industry are total withdrawals for irrigation and livestock production and for direct industrial use (including withdrawals for cooling thermoelectric plants). Withdrawals for domestic uses include drinking water, municipal use or supply, and use for public services, commercial establishments, and homes. Data are for the most recent year available for 1987-2002.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenewable aquifers or desalination plants is considerable or where there is significant water reuse. Withdrawals for agriculture and industry are total withdrawals for irrigation and livestock production and for direct industrial use (including withdrawals for cooling thermoelectric plants). Withdrawals for domestic uses include drinking water, municipal use or supply, and use for public services, commercial establishments, and homes. Data are for the most recent year available for 1987-2002.","^4Q","CC BY-4.0","^5B","A common perception is that most of the available freshwater resources are visible (on the surfaces of lakes, reservoirs and rivers). However, this visible water represents only a tiny fraction of global freshwater resources, as most of it is stored in aquifers, with the largest stocks stored in solid form in the Antarctic and in Greenland's ice cap.\n\nThe data on freshwater resources are based on estimates of runoff into rivers and recharge of groundwater. These estimates are based on different sources and refer to different years, so cross-country comparisons should be made with caution. Because the data are collected intermittently, they may hide significant variations in total renewable water resources from year to year. The data also fail to distinguish between seasonal and geographic variations in water availability within countries. Data for small countries and countries in arid and semiarid zones are less reliable than those for larger countries and countries with greater rainfall.\n\nCaution should also be used in comparing data on annual freshwater withdrawals, which are subject to variations in collection and estimation methods. In addition, inflows and outflows are estimated at different times and at different levels of quality and precision, requiring caution in interpreting the data, particularly for water-short countries, notably in the Middle East and North Africa.\n\nThe data are based on surveys and estimates provided by governments to the Joint Monitoring Programme of the World Health Organization (WHO) and the United Nations Children's Fund (UNICEF). The coverage rates are based on information from service users on actual household use rather than on information from service providers, which may include nonfunctioning systems.","^4[","Annual freshwater withdrawals, total (% of internal resources)","^50","Food and Agriculture Organization, AQUASTAT data.","^51","Annual freshwater withdrawals, total","^52","Annual freshwater withdrawals, total (% of internal resources)"]],"^4[",["^ ","^2","atom","^3","Annual freshwater withdrawals, total (% of internal resources)"],"id",["^ ","^2","atom","^3","ER.H2O.FWTL.ZS"],"^53",["^ ","^2","atom","^3",[2017,["MU","BI","BJ","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","BW","EC","RO","GR","BB","PK","ST","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","SY","SO","IT","AL","HT","CG","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","VN","PE","NA","ML","SS","KM","MV","IN","LS","DJ","LV","TM","IQ","ER","ZA","LY","T3","BO","HN","GM","ZM","MT","CL","KP","YE","PL","CD","T2","JO","SK","NO","ZW","XG","KN","NI","PR","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","VE","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","AT","SE","KH","PA","LR","MD","LT","T5","JM","PG","AE","SN","CU","BA","TJ","LC","VC","KE","MG","GA","KG","AU","DZ","UZ","UG","SG","IS","RS","SI","T7","GY","CI","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","QA","BT","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["ER.H2O.FWTL.K3","ER.H2O.FWIN.ZS","ER.H2O.INTR.PC","ER.H2O.FWST.ZS","ER.H2O.FWAG.ZS","ER.H2O.INTR.K3","ER.H2O.FWDM.ZS","ER.LND.PTLD.ZS","ER.GDP.FWTL.M3.KD"]],"^51",["^ ","^2","atom","^3","Annual freshwater withdrawals, total"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 percent of total renewable resources where extraction from nonrenewable aquifers or desalination plants is considerable or where there is significant water reuse. Withdrawals for agriculture and industry are total withdrawals for irrigation and livestock production and for direct industrial use (including withdrawals for cooling thermoelectric plants). Withdrawals for domestic uses include drinking water, municipal use or supply, and use for public services, commercial establishments, and homes. Data are for the most recent year available for 1987-2002."],"^50",["^ ","^2","atom","^3","Food and Agriculture Organization, AQUASTAT data."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","19","^3","Climate Change"],["^ ","id","9","^3","Infrastructure "],["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","percent"]],"^1X",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Health: Disease prevention","^59","Data on drinking water, sanitation and hygiene are produced by the Joint Monitoring Programme of the World Health Organization (WHO) and United Nations Children's Fund (UNICEF) based on administrative sources, national censuses and nationally representative household surveys. WHO/UNICEF defines a basic drinking water service as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.","^5:","Weighted average","^5<","Annual","^5?","Water is considered to be the most important resource for sustaining ecosystems, which provide life-supporting services for people, animals, and plants. Global access to safe water and proper hygiene education can reduce illness and death from disease, leading to improved health, poverty reduction, and socio-economic development. However, many countries are challenged to provide these basic necessities to their populations, leaving people at risk for water, sanitation, and hygiene (WASH)-related diseases. Because contaminated water is a major cause of illness and death, water quality is a determining factor in human poverty, education, and economic opportunities. \n\nLack of access to adequate drinking water services contributes to deaths and illness, especially in children. Water based disease transmission by drinking contaminated water is responsible for significant outbreaks of diseases such as cholera and typhoid and includes diarrheal diseases, viral hepatitis A, cholera, dysentery and dracunculiasis (Guineaworm disease). Improving access to clean drinking water is a crucial element in the reduction of under-five mortality and morbidity and there is evidence that ensuring higher levels of drinking water services has a greater impact. \n\nWomen and children spend millions of hours each year fetching water. The chore diverts their time from other important activities (for example attending school, caring for children, participating in the economy). When water is not available on premises and has to be collected, women and girls are almost two and a half times more likely than men and boys to be the main water carriers for their families. \n\nMany international organizations use access to safe drinking water and hygienic sanitation facilities as a measure for progress in the fight against poverty, disease, and death. Access to safe drinking water is also considered to be a human right, not a privilege, for every man, woman, and child. Economic benefits of safe drinking water services include higher economic productivity, more education, and health-care savings.","^4W","WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).","^4Y","The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.","^4Q","CC BY-4.0","^5B","National, regional and income group estimates are made when data are available for at least 50 percent of the population.","^4[","People using at least basic drinking water services (% of population)","^50","WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).","^51","People using at least basic drinking water services","^52","People using at least basic drinking water services (% of population)"]],"^4[",["^ ","^2","atom","^3","People using at least basic drinking water services (% of population)"],"id",["^ ","^2","atom","^3","SH.H2O.BASW.ZS"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","VI","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","MF","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","MC","SY","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","VN","PE","NA","ML","SS","PS","MV","AS","IN","LS","DJ","LV","TM","SM","IQ","PW","ZA","LY","T3","BO","FO","HN","GM","ZM","MT","CL","KP","YE","PL","CD","T2","JO","SK","NO","ZW","XG","NI","PR","SV","IM","SZ","SL","AO","LU","GT","AZ","CY","CZ","ET","EE","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","NZ","BF","BG","SA","BE","UY","MX","DO","MN","GH","CA","IR","BZ","NG","CM","MM","LI","SD","MY","WS","VG","AT","SB","SE","KH","PA","LR","AD","MP","MD","LT","T5","JM","GL","PG","VU","AE","SN","CU","BA","TJ","LC","KE","MG","BM","GA","GI","KG","NR","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","GU","QA","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["SH.H2O.BASW.RU.ZS","SH.H2O.BASW.UR.ZS","SH.H2O.SMDW.ZS","SH.H2O.SMDW.RU.ZS","SH.H2O.SMDW.UR.ZS","SH.MMR.DTHS","SH.STA.AIRP.MA.P5","SH.ALC.PCAP.FE.LI","SH.SVR.WAST.ZS"]],"^51",["^ ","^2","atom","^3","People using at least basic drinking water services"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water."],"^50",["^ ","^2","atom","^3","WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org)."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "],["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","percent"]],"^1Y",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",2],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","This is the Sustainable Development Goal indicator 6.2.1 [https://unstats.un.org/sdgs/metadata/].","^59","Data on drinking water, sanitation and hygiene are produced by the Joint Monitoring Programme of the World Health Organization (WHO) and United Nations Children's Fund (UNICEF) based on administrative sources, national censuses and nationally representative household surveys. WHO/UNICEF defines a basic handwashing facility as a device to contain, transport or regulate the flow of water to facilitate handwashing with soap and water in the household.","^5<","Annual","^5?","Hygiene is closely correlated with human health. Target 6.2 of the Sustainable Development Goals recognizes that access to facilities allowing good hygiene and sanitation should be universal, and especially important to women and girls, and those in vulnerable situations. Of the range of hygiene behaviors considered important for health, hand washing with soap and water is a top priority in all settings, and is considered one of the most cost-effective interventions to prevent diarrheal diseases. The availability of a basic handwashing facility is a prerequisite for basic hygiene facilities on premises, and is a useful proxy for hygienic behavior.","^4W","WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).","^4Y","The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.","^5B","Presence of a handwashing station with soap and water does not guarantee that household members consistently wash hands at key times, but is accepted as the most suitable proxy. Data on handwashing facilities are available for a growing number of low- and middle-income countries after hygiene questions were standardized in international surveys. However, this type of information is not available from most high-income countries, where access to basic handwashing facilities is assumed to be nearly universal.","^4Q","CC BY-4.0","^4V","Health: Disease prevention","^4[","People with basic handwashing facilities including soap and water (% of population)","^50","WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).","^51","People with basic handwashing facilities including soap and water","^52","People with basic handwashing facilities including soap and water (% of population)"]],"^4[",["^ ","^2","atom","^3","People with basic handwashing facilities including soap and water (% of population)"],"id",["^ ","^2","atom","^3","SH.STA.HYGN.ZS"],"^53",["^ ","^2","atom","^3",[2020,["BI","BJ","TL","LA","ID","GE","TN","ME","EC","PK","ST","BD","SR","GW","TG","MW","AM","SY","SO","HT","KI","MK","AF","CF","CR","GN","CO","VN","ML","PS","MV","IN","LS","TM","IQ","ZA","BO","GM","ZM","CD","ZW","XG","SZ","SL","AO","ET","MH","TZ","PY","RW","TO","BF","DO","MN","GH","BZ","NG","CM","MM","SD","WS","KH","T5","PG","SN","CU","TJ","KE","MG","KG","DZ","UG","CI","OM","EG","TH","NP","TD","BT","PH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["SH.STA.HYGN.RU.ZS","SH.STA.HYGN.UR.ZS","SH.STA.AIRP.MA.P5","SH.STA.MMRT","SH.STA.STNT.MA.ZS","SH.STA.BRTC.ZS","SH.STA.WAST.MA.ZS","SH.STA.WASH.P5","SH.STA.SUIC.FE.P5"]],"^51",["^ ","^2","atom","^3","People with basic handwashing facilities including soap and water"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents."],"^50",["^ ","^2","atom","^3","WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org)."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "],["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","percent"]],"^1Z",["^ ","^4Q",["^ ","^2","atom","^3","Use and distribution of these data are subject to Protected Planet terms and conditions."],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://www.protectedplanet.net/c/terms-and-conditions"],"^4S",["^ ","^2","atom","^3","3.4"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Restricted use: Please contact the Protected Planet for third-party use of these data.","^59","This indicator is calculated using all the nationally designated protected areas recorded in the World Database on Protected Areas (WDPA) whose location and extent is known. The WDPA database is stored within a Geographic Information System (GIS) that stores information about protected areas such as their name, type and date of designation, documented area, geographic location (point) and/or boundary (polygon). \n\nDesignating an area as protected does not mean that protection is in force. And for small countries that have only protected areas smaller than 1,000 hectares, the size limit in the definition leads to an underestimate of protected areas. Nationally protected areas are defined using the six IUCN management categories for areas of at least 1,000 hectares: scientific reserves and strict nature reserves with limited public access; national parks of national or international significance and not materially affected by human activity; natural monuments and natural landscapes with unique aspects; managed nature reserves and wildlife sanctuaries; protected landscapes (which may include cultural landscapes); and areas managed mainly for the sustainable use of natural systems to ensure long-term protection and maintenance of biological diversity.\n\nA GIS analysis is used to calculate terrestrial and marine protection. For this a global protected area layer is created by combining the polygons and points recorded in the WDPA. Circular buffers are created around points based on the known extent of protected areas for which no polygon is available. Annual protected area layers are created by dissolving the global protected area layer by the known year of establishment of protected areas recorded in the WDPA. The annual protected area layers are overlaid with country/territory boundaries, coastlines and buffered coastlines (delineating the territorial waters) to obtain the absolute coverage (in square kilometers) of protected areas by country/territory per year from 1990 to present. The total area of a country's/territory's terrestrial protected areas and marine protected areas in territorial waters is divided by the total area of its land areas (including inland waters) and territorial waters to obtain the relative coverage (percentage) of protected areas.","^5:","Weighted average","^5<","Annual","^5?","The International Union for Conservation of Nature (IUCN) defines a protected area as \"a clearly defined geographical space, recognized, dedicated and managed, through legal or other effective means, to achieve the long-term conservation of nature with associated ecosystem services and cultural values.\"\n\nMarine protected areas are areas of intertidal or subtidal terrain - and overlying water and associated flora and fauna and historical and cultural features - that have been reserved by law or other effective means to protect part or the entire enclosed environment. Sites protected under local or provincial law are excluded.\n\nAs threats to biodiversity mount, the international community is increasingly focusing on conserving diversity. Deforestation is a major cause of loss of biodiversity, and habitat conservation is vital for stemming this loss. Conservation efforts have focused on protecting areas of high biodiversity. Increasing the proportion of terrestrial and marine areas protected helps defend vulnerable plant and animal species and safeguard biodiversity.\n \nProtected areas remain the fundamental building blocks of virtually all national and international conservation strategies, supported by governments and international institutions. They provide the core of efforts to protect the world's threatened species and are increasingly recognized as essential providers of ecosystem services and biological resources. Some sites are owned and managed by governments, others by private individuals, companies, communities and faith groups.\n\nThe Sustainable Development Goals (SDGs) address concerns common to all economies. In recognition of the vulnerability of animal and plant species, SDGs include targets 14 and 15 to highlight the importance of marine and terrestorial protected areas. Increasing the proportion of terrestrial and marine areas protected helps defend vulnerable plant and animal species and safeguard biodiversity.","^4W","World Database on Protected Areas (WDPA) where the compilation and management is carried out by United Nations Environment World Conservation Monitoring Centre (UNEP-WCMC) in collaboration with governments, non-governmental organizations, academia and industry. The data is available online through the Protected Planet website (https://www.protectedplanet.net/).","^4Y","Marine protected areas are areas of intertidal or subtidal terrain--and overlying water and associated flora and fauna and historical and cultural features--that have been reserved by law or other effective means to protect part or all of the enclosed environment.","^4R","https://web.archive.org/web/20220510201529/https://www.protectedplanet.net/c/terms-and-conditions","^4Z","Marine protected areas are areas of intertidal or subtidal terrain--and overlying water and associated flora and fauna and historical and cultural features--that have been reserved by law or other effective means to protect part or all of the enclosed environment.","^4V","Environment: Biodiversity & protected areas","^4Q","Use and distribution of these data are subject to Protected Planet terms and conditions.","^5B","The data source for this indicator is the World Database on Protected Areas (WDPA), the most comprehensive global dataset on marine and terrestrial protected areas available. \n\nThe extent to which the land areas, including inland waters, and territorial waters of a country/territory are protected is useful for planning purpose to protect biodiversity. However, it is neither an indication of how well managed the terrestrial and marine protected areas are, nor confirmation that protection measures are effectively enforced. Further, the indicator does not provide information on non-designated or internationally designated protected areas that may also be important for conserving biodiversity. There are known data and knowledge gaps for some countries/regions due to difficulties in reporting national protected area data to the WDPA and/or determining whether a site conforms to the IUCN definition of a protected area.\n\nGaps and/or time lags in reporting national protected area data to the WDPA can however result in discrepancies, which are resolved in communication with data providers. The World Conservation Monitoring Centre (WCMC) compiles data on protected areas, numbers of certain species, and numbers of those species under threat from various sources. Because of differences in definitions, reporting practices, and reporting periods, cross-country comparability is limited.\n\nDue to variations in consistency and methods of collection, data quality is highly variable across countries. Some countries update their information more frequently than others, some have more accurate data on extent of coverage, and many underreport the number or extent of protected areas.","^51","Marine protected areas","^50","World Database on Protected Areas (WDPA) where the compilation and management is carried out by United Nations Environment World Conservation Monitoring Centre (UNEP-WCMC) in collaboration with governments, non-governmental organizations, academia and industry. The data is available online through the Protected Planet website (https://www.protectedplanet.net/).","^4[","Marine protected areas (% of territorial waters)","^52","Marine protected areas (% of territorial waters)"]],"^4[",["^ ","^2","atom","^3","Marine protected areas (% of territorial waters)"],"id",["^ ","^2","atom","^3","ER.MRN.PTMR.ZS"],"^53",["^ ","^2","atom","^3",[2021,["MU","VI","LB","MA","TL","MR","DE","ID","GE","TN","AW","BR","MF","ME","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","SX","TR","US","IE","UA","BN","JP","MC","SY","IT","AL","HT","CG","KI","PT","CV","FR","CR","GN","IL","CO","BS","VN","PE","NA","KM","MV","AS","IN","DJ","LV","TM","PW","KY","SC","ZA","LY","FO","HN","GM","MT","CL","KP","YE","PL","TC","CD","JO","NO","KN","NI","PR","SV","IM","AG","SL","AO","GT","GQ","AZ","CY","EE","HR","TT","RU","CN","MH","TZ","FI","DK","FJ","KZ","TO","KW","VE","FM","NZ","BG","SA","BE","UY","MX","DO","DM","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","VG","SB","SE","KH","PA","LR","MP","LT","JM","GL","PG","VU","AE","SN","CU","LC","VC","KE","MG","BM","GA","AU","DZ","SG","IS","HK","SI","GY","CI","NL","OM","GB","EG","TH","LK","CW","MZ","KR","GU","QA","GD","TV","PH","BH"]]],"^54",["^ ","^2","atom","^3",["ER.LND.PTLD.ZS","ER.H2O.FWIN.ZS","ER.H2O.INTR.PC","ER.GDP.FWTL.M3.KD","ER.FSH.CAPT.MT","ER.H2O.FWST.ZS","ER.H2O.FWAG.ZS","ER.PTD.TOTL.ZS","ER.H2O.FWTL.ZS"]],"^51",["^ ","^2","atom","^3","Marine protected areas"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Marine protected areas are areas of intertidal or subtidal terrain--and overlying water and associated flora and fauna and historical and cultural features--that have been reserved by law or other effective means to protect part or all of the enclosed environment."],"^50",["^ ","^2","atom","^3","World Database on Protected Areas (WDPA) where the compilation and management is carried out by United Nations Environment World Conservation Monitoring Centre (UNEP-WCMC) in collaboration with governments, non-governmental organizations, academia and industry. The data is available online through the Protected Planet website (https://www.protectedplanet.net/)."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://www.protectedplanet.net/"],"^57",["^ ","^2","atom","^3",[["^ ","id","19","^3","Climate Change"],["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","percent"]],"^1[",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",2],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","For aggregate data, each economy is classified based on the classification of World Bank Group's fiscal year 2021 (July 1, 2020-June 30, 2021).","^59","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).","^5:","Weighted average","^5<","Annual","^5?","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.","^4W","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021.","^4Y","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.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","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.","^4Q","CC BY-4.0","^4V","Education: Participation","^4[","School enrollment, primary and secondary (gross), gender parity index (GPI)","^50","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021.","^51","School enrollment, primary and secondary","^52","School enrollment, primary and secondary (gross), gender parity index (GPI)"]],"^4[",["^ ","^2","atom","^3","School enrollment, primary and secondary (gross), gender parity index (GPI)"],"id",["^ ","^2","atom","^3","SE.ENR.PRSC.FM.ZS"],"^53",["^ ","^2","atom","^3",[2021,["MU","BI","DJ"]]],"^54",["^ ","^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.PRM.NINT.FE.ZS","SE.PRM.PRSL.MA.ZS","SE.PRM.ENRL","SE.PRM.ENRR"]],"^51",["^ ","^2","atom","^3","School enrollment, primary and secondary"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^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."],"^50",["^ ","^2","atom","^3","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://uis.unesco.org/"],"^57",["^ ","^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 "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^20",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","WV.5"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","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/].","^59","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.","^5:","Weighted average","^5<","Annual","^5?","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.","^4W","Inter-Parliamentary Union (IPU) (www.ipu.org). For the year of 1998, the data is as of August 10, 1998.","^4Y","Women in parliaments are the percentage of parliamentary seats in a single or lower chamber held by women.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Women in parliaments are the percentage of parliamentary seats in a single or lower chamber held by women.","^4V","Gender: Public life & decision making","^4Q","CC BY-4.0","^5B","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.","^51","Proportion of seats held by women in national parliaments","^50","Inter-Parliamentary Union (IPU) (www.ipu.org). For the year of 1998, the data is as of August 10, 1998.","^4[","Proportion of seats held by women in national parliaments (%)","^52","Proportion of seats held by women in national parliaments (%)"]],"^4[",["^ ","^2","atom","^3","Proportion of seats held by women in national parliaments (%)"],"id",["^ ","^2","atom","^3","SG.GEN.PARL.ZS"],"^53",["^ ","^2","atom","^3",[2021,["MU","BI","BJ","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","ST","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","MC","SY","SO","IT","AL","CG","KI","MK","PT","AF","CV","FR","CF","CR","IL","CO","BS","VN","PE","NA","ML","SS","KM","MV","IN","LS","DJ","LV","TM","SM","IQ","PW","SC","ZA","LY","T3","BO","HN","GM","ZM","MT","CL","KP","YE","PL","CD","T2","JO","SK","NO","ZW","XG","KN","NI","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","LI","MY","WS","AT","SB","SE","KH","PA","LR","AD","MD","LT","T5","JM","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","GA","KG","NR","AU","DZ","UZ","UG","SG","IS","RS","SI","T7","GY","CI","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","QA","GD","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^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"]],"^51",["^ ","^2","atom","^3","Proportion of seats held by women in national parliaments"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Women in parliaments are the percentage of parliamentary seats in a single or lower chamber held by women."],"^50",["^ ","^2","atom","^3","Inter-Parliamentary Union (IPU) (www.ipu.org). For the year of 1998, the data is as of August 10, 1998."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","13","^3","Public Sector "],["^ ","id","17","^3","Gender"],["^ ","id","15","^3","Social Development "]]],"^58",["^ ","^2","atom","^3","percent"]],"^21",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","2.14"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Health: Reproductive health","^59","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”).","^5:","Weighted average","^5<","Annual","^5?","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.","^4W","Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.","^4Y","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.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","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 WDI.","^4Q","CC BY-4.0","^5B","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.","^51","Contraceptive prevalence, any method","^50","Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.","^4[","Contraceptive prevalence, any method (% of married women ages 15-49)","^52","Contraceptive prevalence, any method (% of married women ages 15-49)"]],"^4[",["^ ","^2","atom","^3","Contraceptive prevalence, any method (% of married women ages 15-49)"],"id",["^ ","^2","atom","^3","SP.DYN.CONU.ZS"],"^53",["^ ","^2","atom","^3",[2020,["PS","GM","RW","BF","WS","LR","MD"]]],"^54",["^ ","^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"]],"^51",["^ ","^2","atom","^3","Contraceptive prevalence, any method"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^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."],"^50",["^ ","^2","atom","^3","Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "],["^ ","id","17","^3","Gender"]]],"^58",["^ ","^2","atom","^3","percent"]],"^22",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","2.14"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","This indicator represents the risk associated with each pregnancy and is also a Sustainable Development Goal Indicator (3.1.1) for monitoring maternal health.","^59","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.","^5:","Weighted average","^5<","Annual","^4[","Maternal mortality ratio (modeled estimate, per 100,000 live births)","^4V","Health: Reproductive health","^4W","WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 2000 to 2017. Geneva, World Health Organization, 2019","^4Y","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).","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","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).","^4Q","CC BY-4.0","^5B","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.","^5C","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.","^50","WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 2000 to 2017. Geneva, World Health Organization, 2019","^51","Maternal mortality ratio","^52","Maternal mortality ratio (modeled estimate, per 100,000 live births)"]],"^4[",["^ ","^2","atom","^3","Maternal mortality ratio (modeled estimate, per 100,000 live births)"],"id",["^ ","^2","atom","^3","SH.STA.MMRT"],"^53",["^ ","^2","atom","^3",[2017,["MU","BI","BJ","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","ST","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","SY","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","IN","LS","DJ","LV","TM","IQ","ER","SC","ZA","LY","T3","BO","HN","GM","ZM","MT","CL","KP","YE","PL","CD","T2","JO","SK","NO","ZW","XG","NI","PR","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","MD","LT","T5","JM","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","GA","KG","AU","DZ","UZ","UG","SG","IS","RS","SI","T7","GY","CI","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","QA","GD","BT","PH","BH","T6","NE"]]],"^54",["^ ","^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.WASH.P5","SH.STA.SUIC.FE.P5","SH.STA.STNT.ME.ZS","SH.STA.FGMS.ZS"]],"^51",["^ ","^2","atom","^3","Maternal mortality ratio"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^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)."],"^50",["^ ","^2","atom","^3","WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 2000 to 2017. Geneva, World Health Organization, 2019"],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "],["^ ","id","17","^3","Gender"],["^ ","id","2","^3","Aid Effectiveness "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^23",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","2.8"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","For aggregate data, each economy is classified based on the classification of World Bank Group's fiscal year 2021 (July 1, 2020-June 30, 2021).","^59","Gross enrollment ratio for primary school is calculated by dividing the number of students enrolled in primary education regardless of age by the population of the age group which officially corresponds to 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).","^5:","Weighted average","^5<","Annual","^5?","Gross enrollment ratios indicate the capacity of each level of the education system, but a high ratio may reflect a substantial number of overage children enrolled in each grade because of repetition or late entry rather than a successful education system. The net enrollment rate excludes overage and underage students and more accurately captures the system's coverage and internal efficiency. Differences between the gross enrollment ratio and the net enrollment rate show the incidence of overage and underage enrollments.","^4W","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021.","^4Y","Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.","^4V","Education: Participation","^4Q","CC BY-4.0","^5B","Enrollment indicators are based on annual school surveys, but do not necessarily reflect actual attendance or dropout rates during the year. Also, the length of education differs across countries and can influence enrollment rates, although the International Standard Classification of Education (ISCED) tries to minimize the difference. For example, a shorter duration for primary education tends to increase the rate; a longer one to decrease it (in part because older children are more at risk of dropping out). Moreover, age at enrollment may be inaccurately estimated or misstated, especially in communities where registration of births is not strictly enforced.","^51","School enrollment, primary","^50","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021.","^4[","School enrollment, primary (% gross)","^52","School enrollment, primary (% gross)"]],"^4[",["^ ","^2","atom","^3","School enrollment, primary (% gross)"],"id",["^ ","^2","atom","^3","SE.PRM.ENRR"],"^53",["^ ","^2","atom","^3",[2021,["MU","BI","DJ"]]],"^54",["^ ","^2","atom","^3",["SE.PRM.ENRR.FE","SE.PRM.ENRR.MA","SE.PRM.TCAQ.ZS","SE.PRM.PRSL.ZS","SE.PRM.NINT.FE.ZS","SE.PRM.PRSL.MA.ZS","SE.PRM.ENRL","SE.PRM.TENR.FE","SE.PRM.TCAQ.MA.ZS"]],"^51",["^ ","^2","atom","^3","School enrollment, primary"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music."],"^50",["^ ","^2","atom","^3","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://uis.unesco.org/"],"^57",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "]]],"^58",["^ ","^2","atom","^3","percent"]],"^24",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","For aggregate data, each economy is classified based on the classification of World Bank Group's fiscal year 2021 (July 1, 2020-June 30, 2021).","^59","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.","^5:","Weighted average","^5<","Annual","^5?","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.","^4W","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021.","^4Y","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.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","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.","^4V","Education: Outcomes","^4Q","CC BY-4.0","^5B","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.","^51","Literacy rate, adult total","^50","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021.","^4[","Literacy rate, adult total (% of people ages 15 and above)","^52","Literacy rate, adult total (% of people ages 15 and above)"]],"^4[",["^ ","^2","atom","^3","Literacy rate, adult total (% of people ages 15 and above)"],"id",["^ ","^2","atom","^3","SE.ADT.LITR.ZS"],"^53",["^ ","^2","atom","^3",[2021,["AF"]]],"^54",["^ ","^2","atom","^3",["SE.ADT.LITR.FE.ZS","SE.ADT.LITR.MA.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.PRM.NINT.FE.ZS"]],"^51",["^ ","^2","atom","^3","Literacy rate, adult total"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^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."],"^50",["^ ","^2","atom","^3","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://uis.unesco.org/"],"^57",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "]]],"^58",["^ ","^2","atom","^3","percent"]],"^25",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","WV.2"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","For aggregate data, each economy is classified based on the classification of World Bank Group's fiscal year 2021 (July 1, 2020-June 30, 2021).","^59","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).","^5:","Weighted average","^5<","Annual","^5?","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.","^4W","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021.","^4Y","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.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","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.","^4V","Education: Outcomes","^4Q","CC BY-4.0","^5B","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.","^51","Primary completion rate, total","^50","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021.","^4[","Primary completion rate, total (% of relevant age group)","^52","Primary completion rate, total (% of relevant age group)"]],"^4[",["^ ","^2","atom","^3","Primary completion rate, total (% of relevant age group)"],"id",["^ ","^2","atom","^3","SE.PRM.CMPT.ZS"],"^53",["^ ","^2","atom","^3",[2021,["MU","BI","DJ","GM"]]],"^54",["^ ","^2","atom","^3",["SE.PRM.CMPT.MA.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"]],"^51",["^ ","^2","atom","^3","Primary completion rate, total"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^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."],"^50",["^ ","^2","atom","^3","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://uis.unesco.org/"],"^57",["^ ","^2","atom","^3",[["^ ","id","2","^3","Aid Effectiveness "],["^ ","id","19","^3","Climate Change"],["^ ","id","4","^3","Education "]]],"^58",["^ ","^2","atom","^3","percent"]],"^26",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","2.7"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Education: Inputs","^59","Expenditure on education, total (% of government expenditure) is calculated by dividing total government expenditure on education by the total government expenditure on all sectors and multiplying by 100. Aggregate data are based on World Bank estimates.\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. Data on total general government expenditure were previously collected from countries through the annual questionnaire, but are from the International Monetary Fund's World Economic Outlook database since January 2014. Therefore, current data cannot be compared with data in earlier editions. \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).","^5:","Median","^5<","Annual","^5?","The share of government expenditure devoted to education allows an assessment of the priority a government assigns to education relative to other public investments, as well as a government's commitment to investing in human capital development. Countries with younger populations may spend more on education in relation to other sector such as health or social security, and vice-versa.","^4W","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021.","^4Y","General government expenditure on education (current, capital, and transfers) is expressed as a percentage of total general government expenditure on all sectors (including health, education, social services, etc.). It includes expenditure funded by transfers from international sources to government. General government usually refers to local, regional and central governments.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","General government expenditure on education (current, capital, and transfers) is expressed as a percentage of total general government expenditure on all sectors (including health, education, social services, etc.). It includes expenditure funded by transfers from international sources to government. General government usually refers to local, regional and central governments.","^4Q","CC BY-4.0","^5B","Data on government expenditure on education may refer to spending by the ministry of education only (excluding spending on educational activities by other ministries). In addition, definitions and methods of data on total general government expenditure may differ across countries.","^4[","Government expenditure on education, total (% of government expenditure)","^50","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021.","^51","Government expenditure on education, total","^52","Government expenditure on education, total (% of government expenditure)"]],"^4[",["^ ","^2","atom","^3","Government expenditure on education, total (% of government expenditure)"],"id",["^ ","^2","atom","^3","SE.XPD.TOTL.GB.ZS"],"^53",["^ ","^2","atom","^3",[2021,["BB","ST","BD","SR","BY","AM","CG","KI","AF","CV","CF","GN","BS","VN","PE","NA","ML","MV","LS","SC","ZA","HN","ZM","TC","SV","AG","AO","AZ","TT","PY","FJ","TO","UY","DO","DM","BZ","NG","CM","SD","MY","VG","PA","AD","SN","TJ","LC","MG","GA","NR","DZ","CI","TD","BT","NE"]]],"^54",["^ ","^2","atom","^3",["SE.XPD.TOTL.GD.ZS","SE.XPD.SECO.PC.ZS","SE.XPD.CTOT.ZS","SE.XPD.CTER.ZS","SE.XPD.TERT.ZS","SE.XPD.CPRM.ZS","SE.XPD.TERT.PC.ZS","SE.XPD.CSEC.ZS","SE.XPD.PRIM.PC.ZS"]],"^51",["^ ","^2","atom","^3","Government expenditure on education, total"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","General government expenditure on education (current, capital, and transfers) is expressed as a percentage of total general government expenditure on all sectors (including health, education, social services, etc.). It includes expenditure funded by transfers from international sources to government. General government usually refers to local, regional and central governments."],"^50",["^ ","^2","atom","^3","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://uis.unesco.org/"],"^57",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "]]],"^58",["^ ","^2","atom","^3","percent"]],"^27",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","3.3"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Environment: Agricultural production","^59","The agricultural production index is prepared by the Food and Agriculture Organization of the United Nations (FAO). The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period 2014-2016. They are based on the sum of price-weighted quantities of different agricultural commodities produced after deductions of quantities used as seed and feed weighted in a similar manner. The resulting aggregate represents, therefore, disposable production for any use except as seed and feed. All the indices at the country, regional and world levels are calculated by the Laspeyres formula*. Production quantities of each commodity are weighted by 2014-2016 average international commodity prices and summed for each year. To obtain the index, the aggregate for a given year is divided by the average aggregate for the base period 2014-2016. Since the FAO indices are based on the concept of agriculture as a single enterprise, amounts of seed and feed are subtracted from the production data to avoid double counting, once in the production data and once with the crops or livestock produced from them. Deductions for seed (in the case of eggs, for hatching) and for livestock and poultry feed apply to both domestically produced and imported commodities. They cover only primary agricultural products destined to animal feed (e.g. maize, potatoes, milk, etc.). Processed and semi-processed feed items such as bran, oilcakes, meals and molasses have been completely excluded from the calculations at all stages. It should be noted that when calculating indices of agricultural, food and nonfood production, all intermediate primary inputs of agricultural origin are deducted. However, for indices of any other commodity group, only inputs originating from within the same group are deducted; thus, only seed is removed from the group \"crops\" and from all crop subgroups, such as cereals, oil crops, etc.; and both feed and seed originating from within the livestock sector (e.g. milk feed, hatching eggs) are removed from the group \"livestock products\". For the main two livestock subgroups, namely, meat and milk, only feed originating from the respective subgroup is removed. Indices which take into account deductions for feed and seed are referred to as ''net''. Indices calculated without any deductions for feed and seed are referred to as ''gross\". The \"international commodity prices\" are used in order to avoid the use of exchange rates for obtaining continental and world aggregates, and also to improve and facilitate international comparative analysis of productivity at the national level. These\" international prices,\" expressed in so-called \"international dollars,\" are derived using a Geary-Khamis formula** for the agricultural sector. This method assigns a single \"price\" to each commodity. For example, one metric ton of wheat has the same price regardless of the country where it was produced. The currency unit in which the prices are expressed has no influence on the indices published. The commodities covered in the computation of indices of agricultural production are all crops and livestock products originating in each country. Practically all products are covered, with the main exception of fodder crops. \n\n* A Laspeyres Index is known as a \"base-weighted\" or \"fixed-weighted\" index because the price increases are weighted by the quantities in the base period. The Consumer Price Index is an example of a Laspeyres Index. http://www.usna.edu/Users/econ/rbrady/312%20Materials/LaspeyresCalc.pdf\n** Geary-Khamis formula is an aggregation method in which category \"international prices\" (reflecting relative category values) and country purchasing power parities (PPPs), (depicting relative country price levels) are estimated simultaneously from a system of linear equations. http://stats.oecd.org/glossary/detail.asp?ID=5528","^5:","Weighted average","^5<","Annual","^5;","2014-16","^5?","The commodities covered in the computation of indices of agricultural production are all crops and livestock products originating in each country. Practically all products are covered, with the main exception of fodder crops. The category of food production includes commodities that are considered edible and that contain nutrients. Accordingly, coffee and tea are excluded along with inedible commodities because, although edible, they have practically no nutritive value.\n\nIt should be noted that when calculating indices of agricultural, food and nonfood production, all intermediate primary inputs of agricultural origin are deducted. However, for indices of any other commodity group, only inputs originating from within the same group are deducted; thus, only seed is removed from the group \"crops\" and from all crop subgroups, such as cereals, oil crops, etc.; and both feed and seed originating from within the livestock sector (e.g. milk feed, hatching eggs) are removed from the group \"livestock products\". For the main two livestock subgroups, namely, meat and milk, only feed originating from the respective subgroup is removed.\n\nCrop production data refer to the actual harvested production from the field or orchard and gardens, excluding harvesting and threshing losses and that part of crop not harvested for any reason. Production therefore includes the quantities of the commodity sold in the market (marketed production) and the quantities consumed or used by the producers (auto-consumption).","^4W","Food and Agriculture Organization, electronic files and web site.","^4Y","Crop production index shows agricultural production for each year relative to the base period 2014-2016. It includes all crops except fodder crops. Regional and income group aggregates for the FAO's production indexes are calculated from the underlying values in international dollars, normalized to the base period 2014-2016.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Crop production index shows agricultural production for each year relative to the base period 2014-2016. It includes all crops except fodder crops. Regional and income group aggregates for the FAO's production indexes are calculated from the underlying values in international dollars, normalized to the base period 2014-2016.","^4Q","CC BY-4.0","^5B","The FAO indices may differ from those produced by the countries themselves because of differences in concepts of production, coverage, time periods, weights, time reference of data, methods of calculation, and use of international prices.\n\nAgricultural data are collected by the Food and Agriculture Organization of the United Nations (FAO) from official national sources through annual questionnaires and are supplemented with information from official secondary data sources. The secondary sources cover official country data from websites of national ministries, national publications and related country data reported by various international organizations. The FAO tries to impose standard definitions and reporting methods, but complete consistency across countries and over time is not possible. Data on agricultural employment, in particular, should be used with caution. In many countries much agricultural employment is informal and unrecorded, including substantial work performed by women and children. To address some of these concerns, this indicator is heavily footnoted in the database in sources, definition, and coverage.","^51","Crop production index","^50","Food and Agriculture Organization, electronic files and web site.","^4[","Crop production index (2014-2016 = 100)","^52","Crop production index (2014-2016 = 100)"]],"^4[",["^ ","^2","atom","^3","Crop production index (2014-2016 = 100)"],"id",["^ ","^2","atom","^3","AG.PRD.CROP.XD"],"^53",["^ ","^2","atom","^3",[2019,["MU","BI","BJ","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","SY","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","IN","LS","DJ","LV","TM","IQ","ER","SC","ZA","LY","BO","FO","HN","GM","ZM","MT","CL","KP","YE","PL","CD","JO","SK","NO","ZW","KN","NI","PR","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","MD","LT","JM","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","GA","KG","NR","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","QA","GD","BT","TV","PH","BH","NE"]]],"^54",["^ ","^2","atom","^3",["AG.PRD.CREL.MT","AG.PRD.FOOD.XD","AG.PRD.LVSK.XD","AG.LND.AGRI.ZS","AG.LND.FRST.ZS","AG.LND.AGRI.K2","AG.LND.EL5M.RU.ZS","AG.LND.EL5M.UR.ZS","AG.LND.TOTL.K2"]],"^51",["^ ","^2","atom","^3","Crop production index"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Crop production index shows agricultural production for each year relative to the base period 2014-2016. It includes all crops except fodder crops. Regional and income group aggregates for the FAO's production indexes are calculated from the underlying values in international dollars, normalized to the base period 2014-2016."],"^50",["^ ","^2","atom","^3","Food and Agriculture Organization, electronic files and web site."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","1","^3","Agriculture & Rural Development "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^28",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","3.3"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Environment: Agricultural production","^59","The agricultural production index is prepared by the Food and Agriculture Organization of the United Nations (FAO). The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period 2014-2016. They are based on the sum of price-weighted quantities of different agricultural commodities produced after deductions of quantities used as seed and feed weighted in a similar manner. The resulting aggregate represents, therefore, disposable production for any use except as seed and feed. All the indices at the country, regional and world levels are calculated by the Laspeyres formula*. Production quantities of each commodity are weighted by 2014-2016 average international commodity prices and summed for each year. To obtain the index, the aggregate for a given year is divided by the average aggregate for the base period 2014-2016. Since the FAO indices are based on the concept of agriculture as a single enterprise, amounts of seed and feed are subtracted from the production data to avoid double counting, once in the production data and once with the crops or livestock produced from them. Deductions for seed (in the case of eggs, for hatching) and for livestock and poultry feed apply to both domestically produced and imported commodities. They cover only primary agricultural products destined to animal feed (e.g. maize, potatoes, milk, etc.). Processed and semi-processed feed items such as bran, oilcakes, meals and molasses have been completely excluded from the calculations at all stages. It should be noted that when calculating indices of agricultural, food and nonfood production, all intermediate primary inputs of agricultural origin are deducted. However, for indices of any other commodity group, only inputs originating from within the same group are deducted; thus, only seed is removed from the group \"crops\" and from all crop subgroups, such as cereals, oil crops, etc.; and both feed and seed originating from within the livestock sector (e.g. milk feed, hatching eggs) are removed from the group \"livestock products\". For the main two livestock subgroups, namely, meat and milk, only feed originating from the respective subgroup is removed. Indices which take into account deductions for feed and seed are referred to as ''net''. Indices calculated without any deductions for feed and seed are referred to as ''gross\". The \"international commodity prices\" are used in order to avoid the use of exchange rates for obtaining continental and world aggregates, and also to improve and facilitate international comparative analysis of productivity at the national level. These\" international prices,\" expressed in so-called \"international dollars,\" are derived using a Geary-Khamis formula** for the agricultural sector. This method assigns a single \"price\" to each commodity. For example, one metric ton of wheat has the same price regardless of the country where it was produced. The currency unit in which the prices are expressed has no influence on the indices published. The commodities covered in the computation of indices of agricultural production are all crops and livestock products originating in each country. Practically all products are covered, with the main exception of fodder crops. \n\n* A Laspeyres Index is known as a \"base-weighted\" or \"fixed-weighted\" index because the price increases are weighted by the quantities in the base period. The Consumer Price Index is an example of a Laspeyres Index. http://www.usna.edu/Users/econ/rbrady/312%20Materials/LaspeyresCalc.pdf\n** Geary-Khamis formula is an aggregation method in which category \"international prices\" (reflecting relative category values) and country purchasing power parities (PPPs), (depicting relative country price levels) are estimated simultaneously from a system of linear equations. http://stats.oecd.org/glossary/detail.asp?ID=5528","^5:","Weighted average","^5<","Annual","^5;","2014-16","^5?","The commodities covered in the computation of indices of agricultural production are all crops and livestock products originating in each country. Practically all products are covered, with the main exception of fodder crops. The category of food production includes commodities that are considered edible and that contain nutrients. Accordingly, coffee and tea are excluded along with inedible commodities because, although edible, they have practically no nutritive value.\n\nIt should be noted that when calculating indices of agricultural, food and nonfood production, all intermediate primary inputs of agricultural origin are deducted. However, for indices of any other commodity group, only inputs originating from within the same group are deducted; thus, only seed is removed from the group \"crops\" and from all crop subgroups, such as cereals, oil crops, etc.; and both feed and seed originating from within the livestock sector (e.g. milk feed, hatching eggs) are removed from the group \"livestock products\". For the main two livestock subgroups, namely, meat and milk, only feed originating from the respective subgroup is removed.\n\nCrop production data refer to the actual harvested production from the field or orchard and gardens, excluding harvesting and threshing losses and that part of crop not harvested for any reason. Production therefore includes the quantities of the commodity sold in the market (marketed production) and the quantities consumed or used by the producers (auto-consumption).","^4W","Food and Agriculture Organization, electronic files and web site.","^4Y","Livestock production index includes meat and milk from all sources, dairy products such as cheese, and eggs, honey, raw silk, wool, and hides and skins.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Livestock production index includes meat and milk from all sources, dairy products such as cheese, and eggs, honey, raw silk, wool, and hides and skins.","^4Q","CC BY-4.0","^5B","Agricultural data are collected by the Food and Agriculture Organization of the United Nations (FAO) from official national sources through the questionnaire and are supplemented with information from official secondary data sources. The secondary sources cover official country data from websites of national ministries, national publications and related country data reported by various international organizations.\n\nThe FAO tries to impose standard definitions and reporting methods, but complete consistency across countries and over time is not possible. Data on agricultural employment, in particular, should be used with caution. In many countries much agricultural employment is informal and unrecorded, including substantial work performed by women and children. To address some of these concerns, this indicator is heavily footnoted in the database in sources, definition, and coverage.","^51","Livestock production index","^50","Food and Agriculture Organization, electronic files and web site.","^4[","Livestock production index (2014-2016 = 100)","^52","Livestock production index (2014-2016 = 100)"]],"^4[",["^ ","^2","atom","^3","Livestock production index (2014-2016 = 100)"],"id",["^ ","^2","atom","^3","AG.PRD.LVSK.XD"],"^53",["^ ","^2","atom","^3",[2019,["MU","BI","BJ","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","SY","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","IN","LS","DJ","LV","TM","IQ","ER","SC","ZA","LY","BO","FO","HN","GM","ZM","MT","CL","KP","YE","PL","CD","JO","SK","NO","ZW","KN","NI","PR","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","TZ","FI","DK","PY","CH","RW","FJ","KZ","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","MD","LT","JM","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","GA","KG","NR","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","QA","GD","BT","TV","PH","BH","NE"]]],"^54",["^ ","^2","atom","^3",["AG.PRD.CREL.MT","AG.PRD.FOOD.XD","AG.PRD.CROP.XD","AG.LND.AGRI.ZS","AG.LND.FRST.ZS","AG.LND.AGRI.K2","AG.LND.EL5M.RU.ZS","AG.LND.EL5M.UR.ZS","AG.LND.TOTL.K2"]],"^51",["^ ","^2","atom","^3","Livestock production index"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Livestock production index includes meat and milk from all sources, dairy products such as cheese, and eggs, honey, raw silk, wool, and hides and skins."],"^50",["^ ","^2","atom","^3","Food and Agriculture Organization, electronic files and web site."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","1","^3","Agriculture & Rural Development "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^29",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","3.2"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Environment: Land use","^59","Agriculture is still a major sector in many economies, and agricultural activities provide developing countries with food and revenue. But agricultural activities also can degrade natural resources. Poor farming practices can cause soil erosion and loss of soil fertility. Efforts to increase productivity by using chemical fertilizers, pesticides, and intensive irrigation have environmental costs and health impacts. Excessive use of chemical fertilizers can alter the chemistry of soil. Pesticide poisoning is common in developing countries. And salinization of irrigated land diminishes soil fertility. Thus, inappropriate use of inputs for agricultural production has far-reaching effects.\n\nAgricultural land is also sometimes classified as irrigated and non-irrigated land. In arid and semi-arid countries agriculture is often confined to irrigated land, with very little farming possible in non-irrigated areas. Land abandoned as a result of shifting cultivation is excluded from Arable land.\n\nData on agricultural land are valuable for conducting studies on a various perspectives concerning agricultural production, food security and for deriving cropping intensity among others uses. Agricultural land indicator, along with land-use indicators, can also elucidate the environmental sustainability of countries' agricultural practices.\n\nTotal land area does not include inland water bodies such as major rivers and lakes. Variations from year to year may be due to updated or revised data rather than to change in area.","^5:","Weighted average","^5<","Annual","^5?","Agricultural land covers more than one-third of the world's land area, with arable land representing less than one-third of agricultural land (about 10 percent of the world's land area). Agricultural land constitutes only a part of any country's total area, which can include areas not suitable for agriculture, such as forests, mountains, and inland water bodies.\n\nIn many industrialized countries, agricultural land is subject to zoning regulations. In the context of zoning, agricultural land (or more properly agriculturally zoned land) refers to plots that may be used for agricultural activities, regardless of the physical type or quality of land.\n\nFAO's agricultural land data contains a wide range of information on variables that are significant for: understanding the structure of a country's agricultural sector; making economic plans and policies for food security; deriving environmental indicators, including those related to investment in agriculture and data on gross crop area and net crop area which are useful for policy formulation and monitoring.\n\nThere is no single correct mix of inputs to the agricultural land, as it is dependent on local climate, land quality, and economic development; appropriate levels and application rates vary by country and over time and depend on the type of crops, the climate and soils, and the production process used.","^4W","Food and Agriculture Organization, electronic files and web site.","^4Y","Agricultural land refers to the share of land area that is arable, under permanent crops, and under permanent pastures. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded. Land under permanent crops is land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, coffee, and rubber. This category includes land under flowering shrubs, fruit trees, nut trees, and vines, but excludes land under trees grown for wood or timber. Permanent pasture is land used for five or more years for forage, including natural and cultivated crops.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Agricultural land refers to the share of land area that is arable, under permanent crops, and under permanent pastures. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded. Land under permanent crops is land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, coffee, and rubber. This category includes land under flowering shrubs, fruit trees, nut trees, and vines, but excludes land under trees grown for wood or timber. Permanent pasture is land used for five or more years for forage, including natural and cultivated crops.","^4Q","CC BY-4.0","^5B","The data are collected by the Food and Agriculture Organization of the United Nations (FAO) from official national sources through annual questionnaires and are supplemented with information from official secondary data sources. The secondary sources cover official country data from websites of national ministries, national publications and related country data reported by various international organizations.. The FAO tries to impose standard definitions and reporting methods, but complete consistency across countries and over time is not possible. Thus, data on agricultural land in different climates may not be comparable. For example, permanent pastures are quite different in nature and intensity in African countries and dry Middle Eastern countries. Data on agricultural employment, in particular, should be used with caution. In many countries much agricultural employment is informal and unrecorded, including substantial work performed by women and children. To address some of these concerns, this indicator is heavily footnoted in the database in sources, definition, and coverage.","^4[","Agricultural land (% of land area)","^50","Food and Agriculture Organization, electronic files and web site.","^51","Agricultural land","^52","Agricultural land (% of land area)"]],"^4[",["^ ","^2","atom","^3","Agricultural land (% of land area)"],"id",["^ ","^2","atom","^3","AG.LND.AGRI.ZS"],"^53",["^ ","^2","atom","^3",[2018,["MU","BI","BJ","VI","LB","MA","TL","LA","MR","DE","ID","GE","TN","AW","BR","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","SY","SO","IT","AL","HT","CG","KI","MK","JG","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","KM","MV","AS","IN","LS","DJ","LV","TM","SM","IQ","ER","PW","KY","SC","ZA","LY","T3","BO","FO","HN","GM","ZM","MT","CL","KP","YE","PL","TC","CD","T2","JO","SK","NO","ZW","XG","KN","NI","PR","SV","IM","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","LI","SD","MY","WS","VG","AT","SB","SE","KH","PA","LR","AD","MP","MD","LT","T5","JM","GL","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","BM","GA","KG","NR","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","GU","QA","GD","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["AG.LND.AGRI.K2","AG.LND.FRST.ZS","AG.LND.EL5M.RU.ZS","AG.LND.EL5M.UR.ZS","AG.LND.TOTL.K2","AG.LND.EL5M.UR.K2","AG.LND.TOTL.UR.K2","AG.LND.EL5M.RU.K2","AG.LND.CREL.HA"]],"^51",["^ ","^2","atom","^3","Agricultural land"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Agricultural land refers to the share of land area that is arable, under permanent crops, and under permanent pastures. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded. Land under permanent crops is land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, coffee, and rubber. This category includes land under flowering shrubs, fruit trees, nut trees, and vines, but excludes land under trees grown for wood or timber. Permanent pasture is land used for five or more years for forage, including natural and cultivated crops."],"^50",["^ ","^2","atom","^3","Food and Agriculture Organization, electronic files and web site."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","1","^3","Agriculture & Rural Development "],["^ ","id","19","^3","Climate Change"],["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","percent"]],"^2:",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","4.2"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Note: Data for OECD countries are based on ISIC, revision 4.","^59","Gross domestic product (GDP) represents the sum of value added by all its producers. Value added is the value of the gross output of producers less the value of intermediate goods and services consumed in production, before accounting for consumption of fixed capital in production. The United Nations System of National Accounts calls for value added to be valued at either basic prices (excluding net taxes on products) or producer prices (including net taxes on products paid by producers but excluding sales or value added taxes). Both valuations exclude transport charges that are invoiced separately by producers. Total GDP is measured at purchaser prices. Value added by industry is normally measured at basic prices.","^5:","Weighted average","^5<","Annual","^4V","Economic Policy & Debt: National accounts: Shares of GDP & other","^4W","World Bank national accounts data, and OECD National Accounts data files.","^4Y","Agriculture, forestry, and fishing corresponds to ISIC divisions 1-3 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 4. Note: For VAB countries, gross value added at factor cost is used as the denominator.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Agriculture, forestry, and fishing corresponds to ISIC divisions 1-3 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 4. Note: For VAB countries, gross value added at factor cost is used as the denominator.","^4Q","CC BY-4.0","^5B","Among the difficulties faced by compilers of national accounts is the extent of unreported economic activity in the informal or secondary economy. In developing countries a large share of agricultural output is either not exchanged (because it is consumed within the household) or not exchanged for money. Agricultural production often must be estimated indirectly, using a combination of methods involving estimates of inputs, yields, and area under cultivation. This approach sometimes leads to crude approximations that can differ from the true values over time and across crops for reasons other than climate conditions or farming techniques. Similarly, agricultural inputs that cannot easily be allocated to specific outputs are frequently \"netted out\" using equally crude and ad hoc approximations.","^4[","Agriculture, forestry, and fishing, value added (% of GDP)","^50","World Bank national accounts data, and OECD National Accounts data files.","^51","Agriculture, forestry, and fishing, value added","^52","Agriculture, forestry, and fishing, value added (% of GDP)"]],"^4[",["^ ","^2","atom","^3","Agriculture, forestry, and fishing, value added (% of GDP)"],"id",["^ ","^2","atom","^3","NV.AGR.TOTL.ZS"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","LB","MA","XK","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","PK","ST","BD","SR","ES","GW","TG","BY","TR","IE","UA","BN","MW","AM","ZT","IT","AL","HT","CG","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","KM","MV","IN","LS","DJ","LV","IQ","PW","SC","ZA","T3","BO","HN","GM","ZM","MT","CL","YE","PL","TC","CD","T2","JO","SK","NO","ZW","XG","KN","NI","PR","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","FM","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SE","KH","PA","LR","MD","LT","T5","JM","AE","SN","CU","BA","TJ","LC","VC","KE","MG","GA","KG","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","QA","GD","BT","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["NV.AGR.TOTL.KD","NV.AGR.TOTL.KN","NV.AGR.TOTL.CD","NV.AGR.TOTL.CN","NV.AGR.TOTL.KD.ZG","NV.AGR.EMPL.KD","NV.IND.MANF.ZS","NV.MNF.CHEM.ZS.UN","NV.IND.TOTL.KD.ZG"]],"^51",["^ ","^2","atom","^3","Agriculture, forestry, and fishing, value added"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Agriculture, forestry, and fishing corresponds to ISIC divisions 1-3 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 4. Note: For VAB countries, gross value added at factor cost is used as the denominator."],"^50",["^ ","^2","atom","^3","World Bank national accounts data, and OECD National Accounts data files."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","1","^3","Agriculture & Rural Development "],["^ ","id","3","^3","Economy & Growth"],["^ ","id","19","^3","Climate Change"]]],"^58",["^ ","^2","atom","^3","percent"]],"^2;",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","5.10"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Infrastructure: Transportation","^59","Passenger-kilometers are usually measured on the basis of the rail travel distance between origin and destination multiplied by the number of passengers traveling between each origin and destination.","^5:","Median","^5<","Annual","^5?","Transport infrastructure - highways, railways, ports and waterways, and airports and air traffic control systems - and the services that flow from it are crucial to the activities of households, producers, and governments. Because performance indicators vary widely by transport mode and focus (whether physical infrastructure or the services flowing from that infrastructure), highly specialized and carefully specified indicators are required to measure a country's transport infrastructure.\n\nThe railway transport industry a vital engine of global socio-economic growth. It is of vital importance for economic development, creating direct and indirect employment, supporting tourism and local businesses. Economic growth, technological change, and market liberalization affect road transport throughout the world.\n\nRailways have helped in the industrialization process of a country by easy transportation of coal and raw-materials at a cheaper rate. As railways require huge capital outlay, they may give rise to monopolies and work against public interest at large. Even if controlled and managed by the government, lack of competition sometimes results in inefficiency and high costs. Also, many times it is not economical to operate railways in sparsely settled rural areas. Thus, in many developing countries large rural areas have no railway even today.\n\nRail transport is a major form of passenger and freight transport in many countries. Passenger trains can involve a variety of functions including long distance travel, daily commuter trips, or local urban transit services. Railways are very popular mode of transportation in Europe, with an integrated network covering virtually the whole continent. In India, China, South Korea and Japan, many millions use trains as regular transport. In the North America, freight rail transport is widespread and heavily used in for transporting gods. The western Europe region has the highest railway density in the world and has many individual trains which operate through several countries despite technical and organizational differences in each national network. Australia has a generally sparse network, mostly along its densely populated urban centers.","^4W","Internation Union of Railways (UIC), OECD Statistics","^4Y","Passengers carried by railway are the number of passengers transported by rail times kilometers traveled.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Passengers carried by railway are the number of passengers transported by rail times kilometers traveled.","^4Q","CC BY-4.0","^5B","Unlike the road sector, where numerous qualified motor vehicle operators can operate anywhere on the road network, railways are a restricted transport system with vehicles confined to a fixed guideway. Considering the cost and service characteristics, railways generally are best suited to carry - and can effectively compete for - bulk commodities and containerized freight for distances of 500-5,000 kilometers, and passengers for distances of 50-1,000 kilometers. Below these limits road transport tends to be more competitive, while above these limits air transport for passengers and freight and sea transport for freight tend to be more competitive. \n\nData for transport sectors are not always internationally comparable. Unlike for demographic statistics, national income accounts, and international trade data, the collection of infrastructure data has not been \"internationalized.\"","^4[","Railways, passengers carried (million passenger-km)","^50","Internation Union of Railways (UIC), OECD Statistics","^51","Railways, passengers carried","^52","Railways, passengers carried (million passenger-km)"]],"^4[",["^ ","^2","atom","^3","Railways, passengers carried (million passenger-km)"],"id",["^ ","^2","atom","^3","IS.RRS.PASG.KM"],"^53",["^ ","^2","atom","^3",[2019,["ID"]]],"^54",["^ ","^2","atom","^3",["IS.RRS.GOOD.MT.K6","IS.RRS.TOTL.KM","IS.SHP.GOOD.TU","IS.AIR.GOOD.MT.K1","IS.AIR.PSGR","IS.SHP.GCNW.XQ","IS.AIR.DPRT","IP.PAT.RESD","IC.FRM.CRIM.ZS"]],"^51",["^ ","^2","atom","^3","Railways, passengers carried"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Passengers carried by railway are the number of passengers transported by rail times kilometers traveled."],"^50",["^ ","^2","atom","^3","Internation Union of Railways (UIC), OECD Statistics"],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","9","^3","Infrastructure "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^2<",["^ ","^4Q",["^ ","^2","atom","^3","Use and distribution of these data are subject to IEA terms and conditions."],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://www.iea.org/t&c/termsandconditions"],"^4S",["^ ","^2","atom","^3","3.10"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Restricted use: Please contact the International Energy Agency for third-party use of these data.","^59","Carbon dioxide emissions account for the largest share of greenhouse gases, which are associated with global warming. In 2010 the International Energy Agency (IEA) released data on carbon dioxide emissions by sector for the first time, allowing a more comprehensive understanding of each sector's contribution to total emissions. The sectoral approach yields data on carbon dioxide emissions from fuel combustion (Intergovernmental Panel on Climate Change [IPCC] source/sink category 1A) as calculated using the IPCC tier 1 sectoral approach.\n\nCarbon dioxide emissions from transport are emissions from fuel combustion for all transport activity (IPCC source/sink category 1A3), including domestic aviation, domestic navigation, road, rail, and pipeline transport but excluding international marine bunkers and international aviation. The IEA data do not allow energy consumption to be categorized by end-use, and thus emissions from autoproducers are listed separately under unallocated autoproducers.\n\nCarbon dioxide emissions, largely by-products of energy production and use, account for the largest share of greenhouse gases, which are associated with global warming. Anthropogenic carbon dioxide emissions result primarily from fossil fuel combustion and cement manufacturing. In combustion different fossil fuels release different amounts of carbon dioxide for the same level of energy use: oil releases about 50 percent more carbon dioxide than natural gas, and coal releases about twice as much. Cement manufacturing releases about half a metric ton of carbon dioxide for each metric ton of cement produced.","^5:","Weighted average","^5<","Annual","^5?","Carbon dioxide (CO2) is naturally occurring gas fixed by photosynthesis into organic matter. A byproduct of fossil fuel combustion and biomass burning, it is also emitted from land use changes and other industrial processes. It is the principal anthropogenic greenhouse gas that affects the Earth's radiative balance. It is the reference gas against which other greenhouse gases are measured, thus having a Global Warming Potential of 1.\n\nEmission intensity is the average emission rate of a given pollutant from a given source relative to the intensity of a specific activity. Emission intensities are also used to compare the environmental impact of different fuels or activities. The related terms - emission factor and carbon intensity - are often used interchangeably.\n\nBurning of carbon-based fuels since the industrial revolution has rapidly increased concentrations of atmospheric carbon dioxide, increasing the rate of global warming and causing anthropogenic climate change. It is also a major source of ocean acidification since it dissolves in water to form carbonic acid.\n\nThe addition of man-made greenhouse gases to the Atmosphere disturbs the earth's radiative balance. This is leading to an increase in the earth's surface temperature and to related effects on climate, sea level rise and world agriculture. Emissions of CO2 are from burning oil, coal and gas for energy use, burning wood and waste materials, and from industrial processes such as cement production.\n\nGlobal emissions of carbon dioxide have risen by 99%, or on average 2.0% per year, since 1971, and are projected to rise by another 45% by 2030, or by 1.6% per year. It is estimated that emissions in China have risen by 5.7 percent per annum between 1971 and 2006 - the use of coal in China increased levels of CO2 by 4.8 billion tonnes over this period.\n\nThe environmental effects of carbon dioxide are of significant interest. Carbon dioxide (CO2) makes up the largest share of the greenhouse gases contributing to global warming and climate change. Converting all other greenhouse gases (methane (CH4), nitrous oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), sulphur hexafluoride (SF6)) to carbon dioxide (or CO2) equivalents makes it possible to compare them and to determine their individual and total contributions to global warming. The Kyoto Protocol, an environmental agreement adopted in 1997 by many of the parties to the United Nations Framework Convention on Climate Change (UNFCCC), is working towards curbing CO2 emissions globally.","^4W","IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/","^4Y","CO2 emissions from transport contains emissions from the combustion of fuel for all transport activity, regardless of the sector, except for international marine bunkers and international aviation. This includes domestic aviation, domestic navigation, road, rail and pipeline transport, and corresponds to IPCC Source/Sink Category 1 A 3. In addition, the IEA data are not collected in a way that allows the autoproducer consumption to be split by specific end-use and therefore, autoproducers are shown as a separate item (Unallocated Autoproducers).","^4R","https://web.archive.org/web/20220510201529/http://www.iea.org/t&c/termsandconditions","^4Z","CO2 emissions from transport contains emissions from the combustion of fuel for all transport activity, regardless of the sector, except for international marine bunkers and international aviation. This includes domestic aviation, domestic navigation, road, rail and pipeline transport, and corresponds to IPCC Source/Sink Category 1 A 3. In addition, the IEA data are not collected in a way that allows the autoproducer consumption to be split by specific end-use and therefore, autoproducers are shown as a separate item (Unallocated Autoproducers).","^4V","Environment: Emissions","^4Q","Use and distribution of these data are subject to IEA terms and conditions.","^5B","As a response to the objectives of the UNFCCC, the IEA Secretariat, together with the IPCC, the OECD and umerous international experts, has helped to develop and refine an internationally-agreed methodology for the calculation and reporting of national greenhouse-gas emissions from fuel combustion. This methodology was published in 1995 in the IPCC Guidelines for National Greenhouse Gas Inventories. After the initial dissemination of the methodology, revisions were added to several chapters, and published as the Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories (1996 IPCC Guidelines). In April 2006, the IPCC approved the 2006 Guidelines at the 25th session of the IPCC in Mauritius. For now, most countries (as well as the IEA Secretariat) are still calculating their inventories using the 1996 IPCC Guidelines.1. Both the 1996 IPCC Guidelines and the 2006 IPCC Guidelines are available from the IPCC Greenhouse Gas Inventories Programme (www.ipcc-nggip.iges.or.jp).\n\nSince the IPCC methodology for fuel combustion is largely based on energy balances, the IEA estimates for CO2 from fuel combustion have been calculated using the IEA energy balances and the default IPCC methodology. However, other possibly more detailed methodologies may be used by Parties to calculate their inventories. This may lead to different estimates of emissions.\n\nThe carbon dioxide emissions of a country are only an indicator of one greenhouse gas. For a more complete idea of how a country influences climate change, gases such as methane and nitrous oxide should be taken into account. This is particularly important in agricultural economies.","^51","CO2 emissions from transport","^50","IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/","^4[","CO2 emissions from transport (% of total fuel combustion)","^52","CO2 emissions from transport (% of total fuel combustion)"]],"^4[",["^ ","^2","atom","^3","CO2 emissions from transport (% of total fuel combustion)"],"id",["^ ","^2","atom","^3","EN.CO2.TRAN.ZS"],"^53",["^ ","^2","atom","^3",[2014,["MU","BJ","LB","MA","XK","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","PK","BD","SR","ES","TG","BY","TR","US","IE","UA","BN","JP","AM","ZT","SY","IT","AL","HT","CG","MK","PT","FR","CR","IL","CO","VN","PE","NA","SS","IN","LV","TM","IQ","ER","ZA","LY","T3","BO","HN","ZM","MT","CL","KP","YE","PL","CD","T2","JO","SK","NO","ZW","XG","NI","SV","AO","LU","GT","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","TZ","FI","DK","PY","CH","KZ","T4","KW","VE","NZ","BG","SA","BE","UY","MX","DO","MN","GH","AR","CA","IR","NG","CM","MM","SD","MY","AT","SE","KH","PA","MD","LT","T5","JM","AE","SN","CU","BA","TJ","KE","GA","GI","KG","AU","DZ","UZ","SG","IS","HK","RS","SI","T7","CI","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","QA","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["EN.CO2.BLDG.ZS","EN.CO2.ETOT.ZS","EN.CO2.MANF.ZS","EN.CO2.OTHX.ZS","EN.ATM.NOXE.KT.CE","EN.ATM.METH.AG.KT.CE","EN.FSH.THRD.NO","EN.ATM.METH.EG.KT.CE","EN.POP.EL5M.ZS"]],"^51",["^ ","^2","atom","^3","CO2 emissions from transport"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","CO2 emissions from transport contains emissions from the combustion of fuel for all transport activity, regardless of the sector, except for international marine bunkers and international aviation. This includes domestic aviation, domestic navigation, road, rail and pipeline transport, and corresponds to IPCC Source/Sink Category 1 A 3. In addition, the IEA data are not collected in a way that allows the autoproducer consumption to be split by specific end-use and therefore, autoproducers are shown as a separate item (Unallocated Autoproducers)."],"^50",["^ ","^2","atom","^3","IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/"],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://www.iea.org/stats/index.asp"],"^57",["^ ","^2","atom","^3",[["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","percent"]],"^2=",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","WV.2"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","This is the Sustainable Development Goal indicator 3.6.1 [https://unstats.un.org/sdgs/metadata/].","^5:","Weighted average","^5<","Annual","^5?","Road traffic injuries and deaths is a major global public health problem. Road traffic crashes are currently the leading cause of death for children and young adults in the world. There is a strong association between the risk of road traffic death and the income level of countries. The burden of road traffic deaths is disproportionately high among low- and middle-income countries.","^4W","World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).","^4Y","Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population.","^4Q","CC BY-4.0","^4V","Health: Mortality","^4[","Mortality caused by road traffic injury (per 100,000 population)","^50","World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).","^51","Mortality caused by road traffic injury","^52","Mortality caused by road traffic injury (per 100,000 population)"]],"^4[",["^ ","^2","atom","^3","Mortality caused by road traffic injury (per 100,000 population)"],"id",["^ ","^2","atom","^3","SH.STA.TRAF.P5"],"^53",["^ ","^2","atom","^3",[2019,["MU","BI","BJ","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","ST","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","SY","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","KM","MV","IN","LS","DJ","LV","TM","IQ","ER","SC","ZA","LY","T3","BO","HN","GM","ZM","MT","CL","KP","YE","PL","CD","T2","JO","SK","NO","ZW","XG","NI","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","MD","LT","T5","JM","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","GA","KG","AU","DZ","UZ","UG","SG","IS","RS","SI","T7","GY","CI","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","QA","GD","BT","PH","BH","T6","NE"]]],"^54",["^ ","^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.WASH.P5","SH.STA.SUIC.FE.P5","SH.STA.STNT.ME.ZS","SH.STA.FGMS.ZS"]],"^51",["^ ","^2","atom","^3","Mortality caused by road traffic injury"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population."],"^50",["^ ","^2","atom","^3","World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://apps.who.int/ghodata/"],"^57",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "],["^ ","id","16","^3","Urban Development "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^2>",["^ ","^4Q",["^ ","^2","atom","^3","Use and distribution of these data are subject to IEA terms and conditions."],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://www.iea.org/t&c/termsandconditions"],"^4S",["^ ","^2","atom","^3","3.7"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Restricted use: Please contact the International Energy Agency for third-party use of these data.","^59","Electricity production from renewable sources (% of total) is the share of electricity produced by geothermal, solar photovoltaic, solar thermal, tide, wind, industrial waste, municipal waste, primary solid biofuels, biogases, biogasoline, biodiesels, other liquid biofuels, nonspecified primary biofuels and waste, and charcoal in total electricity production which is the total number of GWh generated by power plants separated into electricity plants and CHP plants. Hydropower is excluded. The International Energy Agency (IEA) compiles data on energy inputs used to generate electricity. IEA data for countries that are not members of the Organisation for Economic Co-operation and Development (OECD) are based on national energy data adjusted to conform to annual questionnaires completed by OECD member governments. In addition, estimates are sometimes made to complete major aggregates from which key data are missing, and adjustments are made to compensate for differences in definitions. The IEA makes these estimates in consultation with national statistical offices, oil companies, electric utilities, and national energy experts.","^5:","Weighted average","^5<","Annual","^4V","Environment: Energy production & use","^4W","IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/","^4Y","Electricity production from renewable sources, excluding hydroelectric, includes geothermal, solar, tides, wind, biomass, and biofuels.","^4R","https://web.archive.org/web/20220510201529/http://www.iea.org/t&c/termsandconditions","^4Z","Electricity production from renewable sources, excluding hydroelectric, includes geothermal, solar, tides, wind, biomass, and biofuels.","^4Q","Use and distribution of these data are subject to IEA terms and conditions.","^5B","IEA occasionally revises its time series to reflect political changes. For example, the IEA has constructed historical energy statistics for countries of the former Soviet Union. In addition, energy statistics for other countries have undergone continuous changes in coverage or methodology in recent years as more detailed energy accounts have become available. Breaks in series are therefore unavoidable.","^4[","Electricity production from renewable sources, excluding hydroelectric (% of total)","^50","IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/","^51","Electricity production from renewable sources, excluding hydroelectric","^52","Electricity production from renewable sources, excluding hydroelectric (% of total)"]],"^4[",["^ ","^2","atom","^3","Electricity production from renewable sources, excluding hydroelectric (% of total)"],"id",["^ ","^2","atom","^3","EG.ELC.RNWX.ZS"],"^53",["^ ","^2","atom","^3",[2015,["MU","BJ","LB","MA","XK","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","PK","BD","SR","ES","TG","BY","TR","US","IE","UA","BN","JP","AM","ZT","SY","IT","AL","HT","CG","MK","PT","FR","CR","IL","CO","VN","PE","NA","SS","IN","LV","TM","IQ","ER","ZA","LY","T3","BO","HN","ZM","MT","CL","KP","YE","PL","CD","T2","JO","SK","NO","ZW","XG","NI","SV","AO","LU","GT","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","TZ","FI","DK","PY","CH","KZ","T4","KW","VE","NZ","BG","SA","BE","UY","MX","DO","MN","GH","AR","CA","IR","NG","CM","MM","SD","MY","AT","SE","KH","PA","MD","LT","T5","JM","AE","SN","CU","BA","TJ","KE","GA","GI","KG","AU","DZ","UZ","SG","IS","HK","RS","SI","T7","CI","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","QA","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["EG.ELC.RNWX.KH","EG.ELC.PETR.ZS","EG.ELC.NUCL.ZS","EG.ELC.LOSS.ZS","EG.ELC.ACCS.UR.ZS","EG.ELC.ACCS.RU.ZS","EG.ELC.FOSL.ZS","EG.ELC.ACCS.ZS","EG.ELC.COAL.ZS"]],"^51",["^ ","^2","atom","^3","Electricity production from renewable sources, excluding hydroelectric"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Electricity production from renewable sources, excluding hydroelectric, includes geothermal, solar, tides, wind, biomass, and biofuels."],"^50",["^ ","^2","atom","^3","IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/"],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://www.iea.org/stats/index.asp"],"^57",["^ ","^2","atom","^3",[["^ ","id","5","^3","Energy & Mining "],["^ ","id","19","^3","Climate Change"],["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","percent"]],"^2?",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","2.13"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Aggregate data by groups are computed based on the groupings for the World Bank fiscal year in which the data was released by the WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene.\n\nThis is the Sustainable Development Goal indicator 6.2.1 [https://unstats.un.org/sdgs/metadata/].","^59","Data on drinking water, sanitation and hygiene are produced by the Joint Monitoring Programme of the World Health Organization (WHO) and United Nations Children's Fund (UNICEF) based on administrative sources, national censuses and nationally representative household surveys. WHO/UNICEF defines safely managed sanitation facilities as improved sanitation facilities that are not shared with other households and where excreta are safely disposed of in situ or transported and treated offsite. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines: ventilated improved pit latrines, compositing toilets or pit latrines with slabs.","^5:","Weighted average","^5<","Annual","^5?","Sanitation is fundamental to human development. Many international organizations use hygienic sanitation facilities as a measure for progress in the fight against poverty, disease, and death. Access to proper sanitation is also considered to be a human right, not a privilege, for every man, woman, and child. \n\nSanitation generally refers to the provision of facilities and services for the safe disposal of human urine and feces. Inadequate sanitation is a major cause of disease world-wide and improving sanitation is known to have a significant beneficial impact on people's health. Basic and safely managed sanitation services can reduce diarrheal disease, and can significantly lessen the adverse health impacts of other disorders responsible for death and disease among millions of children. Diarrhea and worm infections weaken children and make them more susceptible to malnutrition and opportunistic infections like pneumonia, measles and malaria. \n\nThe combined effects of inadequate sanitation, unsafe water supply and poor personal hygiene are responsible for many of childhood deaths. Every year, the failure to tackle these deficits results in severe welfare losses - wasted time, reduced productivity, ill health, impaired learning, environmental degradation and lost opportunities. Fundamental behavior changes are required before the use of improved facilities and services can be integrated into daily life. Many hygiene behaviors and habits are formed in childhood and, therefore, school health and hygiene education programs are an important part of water and sanitation improvements. \n\nMost basic sanitation technologies are not expensive to implement. However, those facing the problems of inadequate sanitation may not be aware of either the origin of their ills, or the true costs of poor sanitation and hygiene. As a result, in most of the developing countries those without sanitation are hard to convince of the need to invest scarce resources in sanitation facilities, or of the critical importance of changing long-held habits and unhygienic behaviors. Consequently, the people's representatives - governments and elected political leaders - rarely give sanitation or hygiene improvements the priority that is needed in order to tackle the massive sanitation deficit faced by the developing world. \n\nChildren bear the brunt of sanitation-related impacts - their health, nutrition, growth, education, self-respect, and life opportunities suffer as a result of inadequate sanitation. Without improved sanitation, many of the current generation of children in developing countries are unlikely to develop to their full potential. Countries that don't take urgent action to redress sanitation deficiencies will find their future development and prosperity impaired.","^4W","WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).","^4Y","The percentage of people using improved sanitation facilities that are not shared with other households and where excreta are safely disposed of in situ or transported and treated offsite. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines: ventilated improved pit latrines, compositing toilets or pit latrines with slabs.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","The percentage of people using improved sanitation facilities that are not shared with other households and where excreta are safely disposed of in situ or transported and treated offsite. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines: ventilated improved pit latrines, compositing toilets or pit latrines with slabs.","^4V","Health: Disease prevention","^4Q","CC BY-4.0","^5B","There are three main ways to meet the criteria for having a safely managed sanitation service (People should use improved sanitation facilities that are not shared with other households, and the excreta produced should either be: treated and disposed of in situ; stored temporality and then emptied, transported and treated off-site, or transported through a sewer with wastewater and then treated off-site). Many countries lack information on either wastewater treatment or the management of on-site sanitation. A national estimate is produced if information is available for the dominant type of sanitation system. If no information is available, it is assumed that 50 percent is safely managed. Regional and income group estimates are made when data are available for at least 30 percent of the population.","^51","People using safely managed sanitation services","^50","WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).","^4[","People using safely managed sanitation services (% of population)","^52","People using safely managed sanitation services (% of population)"]],"^4[",["^ ","^2","atom","^3","People using safely managed sanitation services (% of population)"],"id",["^ ","^2","atom","^3","SH.STA.SMSS.ZS"],"^53",["^ ","^2","atom","^3",[2020,["LB","MA","LA","DE","GE","TN","BR","ME","EC","RO","GR","ST","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","MW","JP","AM","ZT","MC","SO","IT","AL","KI","MK","PT","FR","CF","CR","IL","CO","PE","ML","PS","IN","LS","DJ","LV","SM","IQ","LY","T3","BO","HN","GM","MT","CL","YE","PL","CD","T2","JO","SK","NO","ZW","PR","SL","LU","CY","CZ","ET","EE","HR","RU","CN","TZ","FI","DK","PY","CH","T4","TO","KW","VE","NZ","BG","SA","BE","MX","MN","GH","CA","NG","MM","LI","WS","AT","SE","AD","LT","T5","GL","AE","SN","CU","MG","KG","AU","DZ","SG","IS","HK","RS","SI","T7","MO","NL","HU","GB","EG","TH","NP","KR","TD","QA","BT","PH","BH","NE"]]],"^54",["^ ","^2","atom","^3",["SH.STA.SMSS.RU.ZS","SH.STA.SMSS.UR.ZS","SH.STA.AIRP.MA.P5","SH.STA.MMRT","SH.STA.STNT.MA.ZS","SH.STA.BRTC.ZS","SH.STA.WAST.MA.ZS","SH.STA.WASH.P5","SH.STA.SUIC.FE.P5"]],"^51",["^ ","^2","atom","^3","People using safely managed sanitation services"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","The percentage of people using improved sanitation facilities that are not shared with other households and where excreta are safely disposed of in situ or transported and treated offsite. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines: ventilated improved pit latrines, compositing toilets or pit latrines with slabs."],"^50",["^ ","^2","atom","^3","WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org)."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "],["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","percent"]],"^2@",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","4.2"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^59","Gross domestic product (GDP) represents the sum of value added by all its producers. Value added is the value of the gross output of producers less the value of intermediate goods and services consumed in production, before accounting for consumption of fixed capital in production. The United Nations System of National Accounts calls for value added to be valued at either basic prices (excluding net taxes on products) or producer prices (including net taxes on products paid by producers but excluding sales or value added taxes). Both valuations exclude transport charges that are invoiced separately by producers. Total GDP is measured at purchaser prices. Value added by industry is normally measured at basic prices.","^5:","Gap-filled total","^5<","Annual","^4V","Economic Policy & Debt: National accounts: US$ at current prices: Aggregate indicators","^4W","World Bank national accounts data, and OECD National Accounts data files.","^4Y","GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.","^4Q","CC BY-4.0","^5B","Gross domestic product (GDP), though widely tracked, may not always be the most relevant summary of aggregated economic performance for all economies, especially when production occurs at the expense of consuming capital stock.\n\nWhile GDP estimates based on the production approach are generally more reliable than estimates compiled from the income or expenditure side, different countries use different definitions, methods, and reporting standards. World Bank staff review the quality of national accounts data and sometimes make adjustments to improve consistency with international guidelines. Nevertheless, significant discrepancies remain between international standards and actual practice. Many statistical offices, especially those in developing countries, face severe limitations in the resources, time, training, and budgets required to produce reliable and comprehensive series of national accounts statistics.\n\nAmong the difficulties faced by compilers of national accounts is the extent of unreported economic activity in the informal or secondary economy. In developing countries a large share of agricultural output is either not exchanged (because it is consumed within the household) or not exchanged for money.","^4[","GDP (current US$)","^50","World Bank national accounts data, and OECD National Accounts data files.","^51","GDP","^52","GDP (current US$)"]],"^4[",["^ ","^2","atom","^3","GDP (current US$)"],"id",["^ ","^2","atom","^3","NY.GDP.MKTP.CD"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","LB","MA","XK","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","ST","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","MC","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","PS","KM","MV","AS","IN","LS","DJ","LV","IQ","PW","KY","SC","ZA","LY","T3","BO","HN","GM","ZM","MT","CL","PL","TC","CD","T2","JO","SK","NO","ZW","XG","KN","NI","PR","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","MD","LT","T5","JM","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","BM","GA","KG","NR","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","GU","QA","GD","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["NY.GDP.MKTP.KD.ZG","NY.GDP.MKTP.KD","NY.GDP.MKTP.KN","NY.GDP.MKTP.CN.AD","NY.GDP.MKTP.PP.KD","NY.GDP.MKTP.CN","NY.GDP.MKTP.PP.CD","NY.GDP.PCAP.KD.ZG","NY.GDP.DEFL.KD.ZG"]],"^51",["^ ","^2","atom","^3","GDP"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used."],"^50",["^ ","^2","atom","^3","World Bank national accounts data, and OECD National Accounts data files."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","3","^3","Economy & Growth"]]],"^58",["^ ","^2","atom","^3","dollar"]],"^2A",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","4.1"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Economic Policy & Debt: National accounts: US$ at constant 2015 prices: Aggregate indicators","^59","Gross domestic product (GDP) represents the sum of value added by all its producers. Value added is the value of the gross output of producers less the value of intermediate goods and services consumed in production, before accounting for consumption of fixed capital in production. The United Nations System of National Accounts calls for value added to be valued at either basic prices (excluding net taxes on products) or producer prices (including net taxes on products paid by producers but excluding sales or value added taxes). Both valuations exclude transport charges that are invoiced separately by producers. Total GDP is measured at purchaser prices. Value added by industry is normally measured at basic prices. When value added is measured at producer prices.\n\nGrowth rates of GDP and its components are calculated using the least squares method and constant price data in the local currency. Constant price U.S. dollar series are used to calculate regional and income group growth rates. Local currency series are converted to constant U.S. dollars using an exchange rate in the common reference year.","^5:","Gap-filled total","^5<","Annual","^5;","2015","^5?","An economy's growth is measured by the change in the volume of its output or in the real incomes of its residents. The 2008 United Nations System of National Accounts (2008 SNA) offers three plausible indicators for calculating growth: the volume of gross domestic product (GDP), real gross domestic income, and real gross national income. The volume of GDP is the sum of value added, measured at constant prices, by households, government, and industries operating in the economy. GDP accounts for all domestic production, regardless of whether the income accrues to domestic or foreign institutions.","^4W","World Bank national accounts data, and OECD National Accounts data files.","^4Y","GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2015 prices, expressed in U.S. dollars. Dollar figures for GDP are converted from domestic currencies using 2015 official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2015 prices, expressed in U.S. dollars. Dollar figures for GDP are converted from domestic currencies using 2015 official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.","^4Q","CC BY-4.0","^5B","Each industry's contribution to growth in the economy's output is measured by growth in the industry's value added. In principle, value added in constant prices can be estimated by measuring the quantity of goods and services produced in a period, valuing them at an agreed set of base year prices, and subtracting the cost of intermediate inputs, also in constant prices. This double-deflation method requires detailed information on the structure of prices of inputs and outputs.\n\nIn many industries, however, value added is extrapolated from the base year using single volume indexes of outputs or, less commonly, inputs. Particularly in the services industries, including most of government, value added in constant prices is often imputed from labor inputs, such as real wages or number of employees. In the absence of well defined measures of output, measuring the growth of services remains difficult.\n\nMoreover, technical progress can lead to improvements in production processes and in the quality of goods and services that, if not properly accounted for, can distort measures of value added and thus of growth. When inputs are used to estimate output, as for nonmarket services, unmeasured technical progress leads to underestimates of the volume of output. Similarly, unmeasured improvements in quality lead to underestimates of the value of output and value added. The result can be underestimates of growth and productivity improvement and overestimates of inflation.\n\nInformal economic activities pose a particular measurement problem, especially in developing countries, where much economic activity is unrecorded. A complete picture of the economy requires estimating household outputs produced for home use, sales in informal markets, barter exchanges, and illicit or deliberately unreported activities. The consistency and completeness of such estimates depend on the skill and methods of the compiling statisticians.\n\nRebasing of national accounts can alter the measured growth rate of an economy and lead to breaks in series that affect the consistency of data over time. When countries rebase their national accounts, they update the weights assigned to various components to better reflect current patterns of production or uses of output. The new base year should represent normal operation of the economy - it should be a year without major shocks or distortions. Some developing countries have not rebased their national accounts for many years. Using an old base year can be misleading because implicit price and volume weights become progressively less relevant and useful.\n\nTo obtain comparable series of constant price data for computing aggregates, the World Bank rescales GDP and value added by industrial origin to a common reference year. Because rescaling changes the implicit weights used in forming regional and income group aggregates, aggregate growth rates are not comparable with those from earlier editions with different base years. Rescaling may result in a discrepancy between the rescaled GDP and the sum of the rescaled components. To avoid distortions in the growth rates, the discrepancy is left unallocated. As a result, the weighted average of the growth rates of the components generally does not equal the GDP growth rate.","^51","GDP","^50","World Bank national accounts data, and OECD National Accounts data files.","^4[","GDP (constant 2015 US$)","^52","GDP (constant 2015 US$)"]],"^4[",["^ ","^2","atom","^3","GDP (constant 2015 US$)"],"id",["^ ","^2","atom","^3","NY.GDP.MKTP.KD"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","LB","MA","XK","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","ST","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","MC","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","PS","KM","MV","AS","IN","LS","DJ","LV","IQ","PW","KY","SC","ZA","LY","T3","BO","HN","GM","ZM","MT","CL","PL","TC","CD","T2","JO","SK","NO","ZW","XG","KN","NI","PR","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","AD","MD","LT","T5","JM","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","BM","GA","KG","NR","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","GU","QA","GD","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["NY.GDP.MKTP.KD.ZG","NY.GDP.MKTP.CD","NY.GDP.MKTP.KN","NY.GDP.MKTP.CN.AD","NY.GDP.MKTP.PP.KD","NY.GDP.MKTP.CN","NY.GDP.MKTP.PP.CD","NY.GDP.PCAP.KD.ZG","NY.GDP.DEFL.KD.ZG"]],"^51",["^ ","^2","atom","^3","GDP"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2015 prices, expressed in U.S. dollars. Dollar figures for GDP are converted from domestic currencies using 2015 official exchange rates. 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It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current local currency.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. 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Data are in constant local currency."],"^50",["^ ","^2","atom","^3","World Bank national accounts data, and OECD National Accounts data files."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","3","^3","Economy & Growth"]]],"^58",["^ ","^2","atom","^3","unknown"]],"^2H",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","WV.1"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Economic Policy & Debt: National accounts: Growth rates","^59","Gross domestic product (GDP) represents the sum of value added by all its producers. Value added is the value of the gross output of producers less the value of intermediate goods and services consumed in production, before accounting for consumption of fixed capital in production. The United Nations System of National Accounts calls for value added to be valued at either basic prices (excluding net taxes on products) or producer prices (including net taxes on products paid by producers but excluding sales or value added taxes). Both valuations exclude transport charges that are invoiced separately by producers. Total GDP is measured at purchaser prices. Value added by industry is normally measured at basic prices. When value added is measured at producer prices.\n\nGrowth rates of GDP and its components are calculated using the least squares method and constant price data in the local currency. Constant price in U.S. dollar series are used to calculate regional and income group growth rates. Local currency series are converted to constant U.S. dollars using an exchange rate in the common reference year.","^5:","Weighted average","^5<","Annual","^5?","An economy's growth is measured by the change in the volume of its output or in the real incomes of its residents. The 2008 United Nations System of National Accounts (2008 SNA) offers three plausible indicators for calculating growth: the volume of gross domestic product (GDP), real gross domestic income, and real gross national income. The volume of GDP is the sum of value added, measured at constant prices, by households, government, and industries operating in the economy. GDP accounts for all domestic production, regardless of whether the income accrues to domestic or foreign institutions.","^4W","World Bank national accounts data, and OECD National Accounts data files.","^4Y","Annual percentage growth rate of GDP at market prices based on constant local currency. Aggregates are based on constant 2015 prices, expressed in U.S. dollars. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Annual percentage growth rate of GDP at market prices based on constant local currency. Aggregates are based on constant 2015 prices, expressed in U.S. dollars. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.","^4Q","CC BY-4.0","^5B","Each industry's contribution to growth in the economy's output is measured by growth in the industry's value added. In principle, value added in constant prices can be estimated by measuring the quantity of goods and services produced in a period, valuing them at an agreed set of base year prices, and subtracting the cost of intermediate inputs, also in constant prices. This double-deflation method requires detailed information on the structure of prices of inputs and outputs.\n\nIn many industries, however, value added is extrapolated from the base year using single volume indexes of outputs or, less commonly, inputs. Particularly in the services industries, including most of government, value added in constant prices is often imputed from labor inputs, such as real wages or number of employees. In the absence of well defined measures of output, measuring the growth of services remains difficult.\n\nMoreover, technical progress can lead to improvements in production processes and in the quality of goods and services that, if not properly accounted for, can distort measures of value added and thus of growth. When inputs are used to estimate output, as for nonmarket services, unmeasured technical progress leads to underestimates of the volume of output. Similarly, unmeasured improvements in quality lead to underestimates of the value of output and value added. The result can be underestimates of growth and productivity improvement and overestimates of inflation.\n\nInformal economic activities pose a particular measurement problem, especially in developing countries, where much economic activity is unrecorded. A complete picture of the economy requires estimating household outputs produced for home use, sales in informal markets, barter exchanges, and illicit or deliberately unreported activities. The consistency and completeness of such estimates depend on the skill and methods of the compiling statisticians.\n\nRebasing of national accounts can alter the measured growth rate of an economy and lead to breaks in series that affect the consistency of data over time. When countries rebase their national accounts, they update the weights assigned to various components to better reflect current patterns of production or uses of output. The new base year should represent normal operation of the economy - it should be a year without major shocks or distortions. Some developing countries have not rebased their national accounts for many years. Using an old base year can be misleading because implicit price and volume weights become progressively less relevant and useful.\n\nTo obtain comparable series of constant price data for computing aggregates, the World Bank rescales GDP and value added by industrial origin to a common reference year. Because rescaling changes the implicit weights used in forming regional and income group aggregates, aggregate growth rates are not comparable with those from earlier editions with different base years. Rescaling may result in a discrepancy between the rescaled GDP and the sum of the rescaled components. To avoid distortions in the growth rates, the discrepancy is left unallocated. As a result, the weighted average of the growth rates of the components generally does not equal the GDP growth rate.","^4[","GDP growth (annual %)","^50","World Bank national accounts data, and OECD National Accounts data files.","^51","GDP growth","^52","GDP growth (annual %)"]],"^4[",["^ ","^2","atom","^3","GDP growth (annual %)"],"id",["^ ","^2","atom","^3","NY.GDP.MKTP.KD.ZG"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","LB","MA","XK","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","ST","BD","SR","ES","PF","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","MC","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","PS","KM","MV","AS","IN","LS","DJ","LV","IQ","PW","KY","SC","ZA","LY","T3","BO","HN","GM","ZM","MT","CL","PL","TC","CD","T2","JO","SK","NO","ZW","XG","KN","NI","PR","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","AD","MD","LT","T5","JM","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","BM","GA","KG","NR","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","GU","QA","GD","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["NY.GDP.MKTP.KD","NY.GDP.MKTP.CD","NY.GDP.MKTP.KN","NY.GDP.MKTP.CN.AD","NY.GDP.MKTP.PP.KD","NY.GDP.MKTP.CN","NY.GDP.MKTP.PP.CD","NY.GDP.PCAP.KD.ZG","NY.GDP.DEFL.KD.ZG"]],"^51",["^ ","^2","atom","^3","GDP growth"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Annual percentage growth rate of GDP at market prices based on constant local currency. Aggregates are based on constant 2015 prices, expressed in U.S. dollars. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources."],"^50",["^ ","^2","atom","^3","World Bank national accounts data, and OECD National Accounts data files."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","3","^3","Economy & Growth"]]],"^58",["^ ","^2","atom","^3","percent"]],"^2I",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3",""],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.","^59","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 who have voluntarily left work. Persons who did not look for work but have an arrangements for a future job are also counted as unemployed. \n\nSome 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. It is the labour force or the economically active portion of the population that serves as the base for this indicator, not the total population.\n\nThe series is part of the ILO estimates and is harmonized to ensure comparability across countries and over time by accounting for differences in data source, scope of coverage, methodology, and other country-specific factors. The estimates are based mainly on nationally representative labor force surveys, with other sources (population censuses and nationally reported estimates) used only when no survey data are available.","^5:","Weighted average","^5<","Annual","^5?","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]","^4W","International Labour Organization, ILOSTAT database. Data retrieved on February 8, 2022.","^4Y","Unemployment refers to the share of the labor force that is without work but available for and seeking employment.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Unemployment refers to the share of the labor force that is without work but available for and seeking employment.","^4V","Social Protection & Labor: Unemployment","^4Q","CC BY-4.0","^5B","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.","^51","Unemployment, total","^50","International Labour Organization, ILOSTAT database. Data retrieved on February 8, 2022.","^4[","Unemployment, total (% of total labor force) (modeled ILO estimate)","^52","Unemployment, total (% of total labor force) (modeled ILO estimate)"]],"^4[",["^ ","^2","atom","^3","Unemployment, total (% of total labor force) (modeled ILO estimate)"],"id",["^ ","^2","atom","^3","SL.UEM.TOTL.ZS"],"^53",["^ ","^2","atom","^3",[2021,["MU","BI","BJ","VI","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","SY","SO","IT","AL","HT","CG","MK","JG","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","IN","LS","DJ","LV","TM","IQ","ER","ZA","LY","T3","BO","HN","GM","ZM","MT","CL","KP","YE","PL","CD","T2","JO","SK","NO","ZW","XG","NI","PR","SV","SZ","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","NZ","BF","BG","SA","BE","UY","MX","DO","MN","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","MD","LT","T5","JM","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","GA","KG","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","GU","QA","BT","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["SL.UEM.TOTL.FE.ZS","SL.UEM.TOTL.FE.NE.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"]],"^51",["^ ","^2","atom","^3","Unemployment, total"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Unemployment refers to the share of the labor force that is without work but available for and seeking employment."],"^50",["^ ","^2","atom","^3","International Labour Organization, ILOSTAT database. Data retrieved on February 8, 2022."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "],["^ ","id","10","^3","Social Protection & Labor"]]],"^58",["^ ","^2","atom","^3","percent"]],"^2J",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","4.16"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5:","Median","^5<","Annual","^4V","Financial Sector: Exchange rates & prices","^4W","International Monetary Fund, International Financial Statistics and data files.","^4Y","Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.","^4Q","CC BY-4.0","^4[","Inflation, consumer prices (annual %)","^50","International Monetary Fund, International Financial Statistics and data files.","^51","Inflation, consumer prices","^52","Inflation, consumer prices (annual %)"]],"^4[",["^ ","^2","atom","^3","Inflation, consumer prices (annual %)"],"id",["^ ","^2","atom","^3","FP.CPI.TOTL.ZG"],"^53",["^ ","^2","atom","^3",[2021,["MU","BI","LB","MA","XK","LA","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","PK","BD","SR","ES","BY","TR","US","IE","JP","AM","ZT","IT","AL","HT","PT","FR","CR","GN","IL","CO","VN","PE","NA","ML","PS","MV","LS","LV","IQ","ZA","T3","BO","HN","GM","MT","CL","PL","T2","JO","SK","NO","KN","NI","SV","AG","SL","LU","GT","AZ","CZ","EE","HR","RU","CN","FI","DK","PY","CH","RW","FJ","KW","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","CA","CM","MY","WS","AT","SE","KH","PA","MD","LT","T5","PG","BA","KE","AU","DZ","SG","IS","HK","RS","SI","T7","GY","CI","NL","HU","OM","GB","TH","NP","KR","QA","GD","BT","BH","NE"]]],"^54",["^ ","^2","atom","^3",["FP.CPI.TOTL","FP.WPI.TOTL","FB.AST.NPER.ZS","FX.OWN.TOTL.60.ZS","FS.AST.DOMS.GD.ZS","FX.OWN.TOTL.40.ZS","FB.BNK.CAPA.ZS","FS.AST.CGOV.GD.ZS","FI.RES.TOTL.CD"]],"^51",["^ ","^2","atom","^3","Inflation, consumer prices"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used."],"^50",["^ ","^2","atom","^3","International Monetary Fund, International Financial Statistics and data files."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","3","^3","Economy & Growth"],["^ ","id","7","^3","Financial Sector "]]],"^58",["^ ","^2","atom","^3","percent"]],"^2K",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Note: Data starting from 2005 are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6).","^5:","Weighted average","^5<","Annual","^4V","Economic Policy & Debt: Balance of payments: Current account: Transfers","^4W","World Bank staff estimates based on IMF balance of payments data, and World Bank and OECD GDP estimates.","^4Y","Personal remittances comprise personal transfers and compensation of employees. Personal transfers consist of all current transfers in cash or in kind made or received by resident households to or from nonresident households. Personal transfers thus include all current transfers between resident and nonresident individuals. Compensation of employees refers to the income of border, seasonal, and other short-term workers who are employed in an economy where they are not resident and of residents employed by nonresident entities. Data are the sum of two items defined in the sixth edition of the IMF's Balance of Payments Manual: personal transfers and compensation of employees.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Personal remittances comprise personal transfers and compensation of employees. Personal transfers consist of all current transfers in cash or in kind made or received by resident households to or from nonresident households. Personal transfers thus include all current transfers between resident and nonresident individuals. Compensation of employees refers to the income of border, seasonal, and other short-term workers who are employed in an economy where they are not resident and of residents employed by nonresident entities. Data are the sum of two items defined in the sixth edition of the IMF's Balance of Payments Manual: personal transfers and compensation of employees.","^4Q","CC BY-4.0","^4[","Personal remittances, received (% of GDP)","^50","World Bank staff estimates based on IMF balance of payments data, and World Bank and OECD GDP estimates.","^51","Personal remittances, received","^52","Personal remittances, received (% of GDP)"]],"^4[",["^ ","^2","atom","^3","Personal remittances, received (% of GDP)"],"id",["^ ","^2","atom","^3","BX.TRF.PWKR.DT.GD.ZS"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","LB","MA","XK","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","ST","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","SO","IT","AL","HT","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","VN","PE","NA","ML","PS","KM","MV","IN","LS","DJ","LV","IQ","PW","KY","SC","ZA","T3","BO","HN","GM","ZM","MT","CL","PL","TC","CD","T2","JO","SK","NO","ZW","XG","KN","NI","SV","SZ","AG","SL","AO","LU","GT","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","MD","LT","T5","JM","PG","VU","SN","BA","TJ","LC","VC","KE","MG","BM","GA","KG","AU","DZ","UZ","UG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","QA","GD","BT","TV","PH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["BX.TRF.PWKR.CD","BX.TRF.PWKR.CD.DT","BM.TRF.PWKR.CD.DT","BX.TRF.CURR.CD","BN.TRF.CURR.CD","BN.TRF.KOGT.CD","BM.TRF.PRVT.CD","BX.GSR.GNFS.CD","BX.GSR.CCIS.CD"]],"^51",["^ ","^2","atom","^3","Personal remittances, received"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Personal remittances comprise personal transfers and compensation of employees. Personal transfers consist of all current transfers in cash or in kind made or received by resident households to or from nonresident households. Personal transfers thus include all current transfers between resident and nonresident individuals. Compensation of employees refers to the income of border, seasonal, and other short-term workers who are employed in an economy where they are not resident and of residents employed by nonresident entities. Data are the sum of two items defined in the sixth edition of the IMF's Balance of Payments Manual: personal transfers and compensation of employees."],"^50",["^ ","^2","atom","^3","World Bank staff estimates based on IMF balance of payments data, and World Bank and OECD GDP estimates."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","3","^3","Economy & Growth"],["^ ","id","7","^3","Financial Sector "]]],"^58",["^ ","^2","atom","^3","percent"]],"^2L",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","6.9"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Note: Data starting from 2005 are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6).","^59","Data on equity flows are based on balance of payments data reported by the International Monetary Fund (IMF). Foreign direct investment (FDI) data are supplemented by the World Bank staff estimates using data from the United Nations Conference on Trade and Development (UNCTAD) and official national sources.\n\nThe internationally accepted definition of FDI (from the sixth edition of the IMF's Balance of Payments Manual [2009]), includes the following components: equity investment, including investment associated with equity that gives rise to control or influence; investment in indirectly influenced or controlled enterprises; investment in fellow enterprises; debt (except selected debt); and reverse investment. The Framework for Direct Investment Relationships provides criteria for determining whether cross-border ownership results in a direct investment relationship, based on control and influence. Distinguished from other kinds of international investment, FDI is made to establish a lasting interest in or effective management control over an enterprise in another country. A lasting interest in an investment enterprise typically involves establishing warehouses, manufacturing facilities, and other permanent or long-term organizations abroad. Direct investments may take the form of greenfield investment, where the investor starts a new venture in a foreign country by constructing new operational facilities; joint venture, where the investor enters into a partnership agreement with a company abroad to establish a new enterprise; or merger and acquisition, where the investor acquires an existing enterprise abroad. The IMF suggests that investments should account for at least 10 percent of voting stock to be counted as FDI. In practice many countries set a higher threshold. Many countries fail to report reinvested earnings, and the definition of long-term loans differs among countries. BoP refers to Balance of Payments.","^5:","Weighted average","^5<","Annual","^5?","Private financial flows - equity and debt - account for the bulk of development finance. Equity flows comprise foreign direct investment (FDI) and portfolio equity. Debt flows are financing raised through bond issuance, bank lending, and supplier credits.","^4W","International Monetary Fund, International Financial Statistics and Balance of Payments databases, World Bank, International Debt Statistics, and World Bank and OECD GDP estimates.","^4Y","Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capital as shown in the balance of payments. This series shows net inflows (new investment inflows less disinvestment) in the reporting economy from foreign investors, and is divided by GDP.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capital as shown in the balance of payments. This series shows net inflows (new investment inflows less disinvestment) in the reporting economy from foreign investors, and is divided by GDP.","^4V","Economic Policy & Debt: Balance of payments: Capital & financial account","^4Q","CC BY-4.0","^5B","FDI data do not give a complete picture of international investment in an economy. Balance of payments data on FDI do not include capital raised locally, an important source of investment financing in some developing countries. In addition, FDI data omit nonequity cross-border transactions such as intra-unit flows of goods and services.\n\nThe volume of global private financial flows reported by the World Bank generally differs from that reported by other sources because of differences in sources, classification of economies, and method used to adjust and disaggregate reported information. In addition, particularly for debt financing, differences may also reflect how some installments of the transactions and certain offshore issuances are treated.\n\nData on equity flows are shown for all countries for which data are available.","^51","Foreign direct investment, net inflows","^50","International Monetary Fund, International Financial Statistics and Balance of Payments databases, World Bank, International Debt Statistics, and World Bank and OECD GDP estimates.","^4[","Foreign direct investment, net inflows (% of GDP)","^52","Foreign direct investment, net inflows (% of GDP)"]],"^4[",["^ ","^2","atom","^3","Foreign direct investment, net inflows (% of GDP)"],"id",["^ ","^2","atom","^3","BX.KLT.DINV.WD.GD.ZS"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","LB","MA","XK","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","ST","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","PS","KM","MV","IN","LS","DJ","LV","IQ","PW","KY","SC","ZA","T3","BO","HN","GM","ZM","MT","CL","PL","TC","CD","T2","JO","SK","NO","ZW","XG","KN","NI","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","MD","LT","T5","JM","PG","VU","AE","SN","BA","TJ","LC","VC","KE","MG","BM","GA","KG","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","QA","GD","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["BM.KLT.DINV.WD.GD.ZS","BX.KLT.DINV.CD.WD","BM.KLT.DINV.CD.WD","BN.KLT.DINV.CD","BN.KLT.PTXL.CD","BX.GSR.GNFS.CD","BX.GSR.CCIS.CD","BX.GSR.INSF.ZS","BX.GSR.MRCH.CD"]],"^51",["^ ","^2","atom","^3","Foreign direct investment, net inflows"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capital as shown in the balance of payments. This series shows net inflows (new investment inflows less disinvestment) in the reporting economy from foreign investors, and is divided by GDP."],"^50",["^ ","^2","atom","^3","International Monetary Fund, International Financial Statistics and Balance of Payments databases, World Bank, International Debt Statistics, and World Bank and OECD GDP estimates."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","3","^3","Economy & Growth"],["^ ","id","7","^3","Financial Sector "],["^ ","id","19","^3","Climate Change"]]],"^58",["^ ","^2","atom","^3","percent"]],"^2M",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","2.1"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Relevance to gender indicator: disaggregating the population composition by gender will help a country in projecting its demand for social services on a gender basis.","^59","Population estimates are usually based on national population censuses. Estimates for the years before and after the census are interpolations or extrapolations based on demographic models.\n\nErrors and undercounting occur even in high-income countries. In developing countries errors may be substantial because of limits in the transport, communications, and other resources required to conduct and analyze a full census.\n\nThe quality and reliability of official demographic data are also affected by public trust in the government, government commitment to full and accurate enumeration, confidentiality and protection against misuse of census data, and census agencies' independence from political influence. Moreover, comparability of population indicators is limited by differences in the concepts, definitions, collection procedures, and estimation methods used by national statistical agencies and other organizations that collect the data.\n\nThe currentness of a census and the availability of complementary data from surveys or registration systems are objective ways to judge demographic data quality. Some European countries' registration systems offer complete information on population in the absence of a census.\n\nThe United Nations Statistics Division monitors the completeness of vital registration systems. Some developing countries have made progress over the last 60 years, but others still have deficiencies in civil registration systems.\n\nInternational migration is the only other factor besides birth and death rates that directly determines a country's population growth. Estimating migration is difficult. At any time many people are located outside their home country as tourists, workers, or refugees or for other reasons. Standards for the duration and purpose of international moves that qualify as migration vary, and estimates require information on flows into and out of countries that is difficult to collect.\n\nPopulation projections, starting from a base year are projected forward using assumptions of mortality, fertility, and migration by age and sex through 2050, based on the UN Population Division's World Population Prospects database medium variant.","^5:","Sum","^5<","Annual","^5?","Increases in human population, whether as a result of immigration or more births than deaths, can impact natural resources and social infrastructure. This can place pressure on a country's sustainability. A significant growth in population will negatively impact the availability of land for agricultural production, and will aggravate demand for food, energy, water, social services, and infrastructure. On the other hand, decreasing population size - a result of fewer births than deaths, and people moving out of a country - can impact a government's commitment to maintain services and infrastructure.","^4W","(1) United Nations Population Division. World Population Prospects: 2019 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.","^4Y","Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.","^4V","Health: Population: Structure","^4Q","CC BY-4.0","^5B","Current population estimates for developing countries that lack (i) reliable recent census data, and (ii) pre- and post-census estimates for countries with census data, are provided by the United Nations Population Division and other agencies. \n\nThe cohort component method - a standard method for estimating and projecting population - requires fertility, mortality, and net migration data, often collected from sample surveys, which can be small or limited in coverage. Population estimates are from demographic modeling and so are susceptible to biases and errors from shortcomings in both the model and the data. In the UN estimates the five-year age group is the cohort unit and five-year period data are used; therefore interpolations to obtain annual data or single age structure may not reflect actual events or age composition.\n\nBecause future trends cannot be known with certainty, population projections have a wide range of uncertainty.","^51","Population, total","^50","(1) United Nations Population Division. World Population Prospects: 2019 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.","^4[","Population, total","^52","Population, total"]],"^4[",["^ ","^2","atom","^3","Population, total"],"id",["^ ","^2","atom","^3","SP.POP.TOTL"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","VI","LB","MA","XK","TL","LA","MR","DE","ID","GE","TN","AW","BR","MF","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","SX","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","MC","SY","SO","IT","AL","HT","CG","KI","MK","JG","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","AS","IN","LS","DJ","LV","TM","SM","IQ","PW","KY","SC","ZA","LY","T3","BO","FO","HN","GM","ZM","MT","CL","KP","YE","PL","TC","CD","T2","JO","SK","NO","ZW","XG","KN","NI","PR","SV","IM","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","LI","SD","MY","WS","VG","AT","SB","SE","KH","PA","LR","AD","MP","MD","LT","T5","JM","GL","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","BM","GA","GI","KG","NR","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","GU","QA","GD","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["SL.TLF.TOTL.IN","SP.POP.TOTL","SP.POP.TOTL.MA.IN","SP.POP.TOTL.MA.ZS","SP.POP.TOTL.FE.ZS","SP.POP.TOTL.FE.IN","SM.POP.TOTL","SM.POP.TOTL.ZS","SP.POP.2529.FE.5Y"]],"^51",["^ ","^2","atom","^3","Population, total"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates."],"^50",["^ ","^2","atom","^3","(1) United Nations Population Division. World Population Prospects: 2019 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","19","^3","Climate Change"],["^ ","id","8","^3","Health "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^2N",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","2.1"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^59","Total population growth rates are calculated on the assumption that rate of growth is constant between two points in time. The growth rate is computed using the exponential growth formula:\n\nr = ln(pn/p0)/n, \n\nwhere r is the exponential rate of growth, ln() is the natural logarithm, pn is the end period population, p0 is the beginning period population, and n is the number of years in between. Note that this is not the geometric growth rate used to compute compound growth over discrete periods.\n\nFor information on total population from which the growth rates are calculated, see total population (SP.POP.TOTL).","^5:","Weighted average","^5<","Annual","^5@","Annual population growth rate. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.","^4V","Health: Population: Dynamics","^4W","Derived from total population. Population source: (1) United Nations Population Division. World Population Prospects: 2019 Revision, (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.","^4Y","Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.","^4Q","CC BY-4.0","^4[","Population growth (annual %)","^50","Derived from total population. Population source: (1) United Nations Population Division. World Population Prospects: 2019 Revision, (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.","^51","Population growth","^52","Population growth (annual %)"]],"^4[",["^ ","^2","atom","^3","Population growth (annual %)"],"id",["^ ","^2","atom","^3","SP.POP.GROW"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","VI","LB","MA","XK","TL","LA","MR","DE","ID","GE","TN","AW","BR","MF","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","SX","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","MC","SY","SO","IT","AL","HT","CG","KI","MK","JG","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","AS","IN","LS","DJ","LV","TM","SM","IQ","PW","KY","SC","ZA","LY","T3","BO","FO","HN","GM","ZM","MT","CL","KP","YE","PL","TC","CD","T2","JO","SK","NO","ZW","XG","KN","NI","PR","SV","IM","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","LI","SD","MY","WS","VG","AT","SB","SE","KH","PA","LR","AD","MP","MD","LT","T5","JM","GL","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","BM","GA","GI","KG","NR","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","GU","QA","GD","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["SP.POP.2529.FE.5Y","SP.POP.DPND","SP.POP.65UP.TO.ZS","SP.POP.65UP.TO","SP.POP.65UP.FE.IN","SP.POP.7074.FE.5Y","SP.POP.65UP.MA.ZS","SP.POP.2024.FE.5Y","SP.POP.3539.MA.5Y"]],"^51",["^ ","^2","atom","^3","Population growth"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship."],"^50",["^ ","^2","atom","^3","Derived from total population. Population source: (1) United Nations Population Division. World Population Prospects: 2019 Revision, (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","19","^3","Climate Change"],["^ ","id","8","^3","Health "]]],"^58",["^ ","^2","atom","^3","percent"]],"^2O",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","6.13"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Social Protection & Labor: Migration","^59","The United Nations Population Division provides data on net migration and migrant stock. Because data on migrant stock is difficult for countries to collect, the United Nations Population Division takes into account the past migration history of a country or area, the migration policy of a country, and the influx of refugees in recent periods when deriving estimates of net migration. The data to calculate these estimates come from a variety of sources, including border statistics, administrative records, surveys, and censuses.\n\nWhen there is insufficient data, net migration is derived through the difference between the overall population growth rate and the rate of natural increase (the difference between the birth rate and the death rate) during the same period. Such calculations are usually made for intercensal periods. The estimates are also derived from the data on foreign-born population - people who have residence in one country but were born in another country. When data on the foreign-born population are not available, data on foreign population - that is, people who are citizens of a country other than the country in which they reside - are used as estimates.","^5:","Sum","^5<","Annual","^5@","Net migration is the number of immigrants minus the number of emigrants, including citizens and noncitizens, for the five-year period.","^5?","Movement of people, most often through migration, is a significant part of global integration. Migrants contribute to the economies of both their host country and their country of origin. Yet reliable statistics on migration are difficult to collect and are often incomplete, making international comparisons a challenge.\n\nGlobal migration patterns have become increasingly complex in modern times, involving not just refugees, but also millions of economic migrants. In most developed countries, refugees are admitted for resettlement and are routinely included in population counts by censuses or population registers.\n\nBut refugees and migrants, even if they often travel in the same way, are fundamentally different, and for that reason are treated very differently under modern international law. Migrants, especially economic migrants, choose to move in order to improve the future prospects of themselves and their families. Refugees have to move if they are to save their lives or preserve their freedom.","^4W","United Nations Population Division. World Population Prospects: 2019 Revision.","^4Y","Net migration is the net total of migrants during the period, that is, the total number of immigrants less the annual number of emigrants, including both citizens and noncitizens. Data are five-year estimates.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Net migration is the net total of migrants during the period, that is, the total number of immigrants less the annual number of emigrants, including both citizens and noncitizens. Data are five-year estimates.","^4Q","CC BY-4.0","^5B","International migration is the component of population change most difficult to measure and estimate reliably. Thus, the quality and quantity of the data used in the estimation and projection of net migration varies considerably by country. Furthermore, the movement of people across international boundaries, which is very often a response to changing socio-economic, political and environmental forces, is subject to a great deal of volatility. Refugee movements, for instance, may involve large numbers of people moving across boundaries in a short time. For these reasons, projections of future international migration levels are the least robust part of current population projections and reflect mainly a continuation of recent levels and trends in net migration.","^51","Net migration","^50","United Nations Population Division. World Population Prospects: 2019 Revision.","^4[","Net migration","^52","Net migration"]],"^4[",["^ ","^2","atom","^3","Net migration"],"id",["^ ","^2","atom","^3","SM.POP.NETM"],"^53",["^ ","^2","atom","^3",[2017,["MU","BI","BJ","VI","LB","MA","TL","LA","MR","DE","ID","GE","TN","AW","BR","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","SY","SO","IT","AL","HT","CG","KI","MK","JG","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","IN","LS","DJ","LV","TM","IQ","ER","SC","ZA","LY","T3","BO","HN","GM","ZM","MT","CL","KP","YE","PL","CD","T2","JO","SK","NO","ZW","XG","NI","PR","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","MD","LT","T5","JM","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","GA","KG","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","GU","QA","GD","BT","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["SM.POP.REFG","SM.POP.REFG.OR","SM.POP.TOTL.ZS","SM.POP.TOTL","SP.POP.2529.FE.5Y","SP.POP.DPND","SP.POP.65UP.TO.ZS","SP.POP.65UP.TO","SP.POP.65UP.FE.IN"]],"^51",["^ ","^2","atom","^3","Net migration"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Net migration is the net total of migrants during the period, that is, the total number of immigrants less the annual number of emigrants, including both citizens and noncitizens. Data are five-year estimates."],"^50",["^ ","^2","atom","^3","United Nations Population Division. World Population Prospects: 2019 Revision."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","7","^3","Financial Sector "],["^ ","id","8","^3","Health "],["^ ","id","2","^3","Aid Effectiveness "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^2P",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","1.1"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","This series only includes estimates that to the best of our knowledge are reasonably comparable over time for a country. Due to differences in estimation methodologies and poverty lines, estimates should not be compared across countries.","^5>","%","^59","Poverty headcount ratio among the population is measured based on national (i.e. country-specific) poverty lines. A country may have a unique national poverty line or separate poverty lines for rural and urban areas, or for different geographic areas to reflect differences in the cost of living or sometimes to reflect differences in diets and consumption baskets.\n\nPoverty estimates at national poverty lines are computed from household survey data collected from nationally representative samples of households. These data must contain sufficiently detailed information to compute a comprehensive estimate of total household income or consumption (including consumption or income from own production), from which it is possible to construct a correctly weighted distribution of per capita consumption or income. \n\nNational poverty lines are the benchmark for estimating poverty indicators that are consistent with the country's specific economic and social circumstances. National poverty lines reflect local perceptions of the level and composition of consumption or income needed to be non-poor. The perceived boundary between poor and non-poor typically rises with the average income of a country and thus does not provide a uniform measure for comparing poverty rates across countries. While poverty rates at national poverty lines should not be used for comparing poverty rates across countries, they are appropriate for guiding and monitoring the results of country-specific national poverty reduction strategies. \n\nAlmost all national poverty lines in developing economies are anchored to the cost of a food bundle - based on the prevailing national diet of the poor - that provides adequate nutrition for good health and normal activity, plus an allowance for nonfood spending. National poverty lines must be adjusted for inflation between survey years to remain constant in real terms and thus allow for meaningful comparisons of poverty over time. Because diets and consumption baskets change over time, countries periodically recalculate the poverty line based on new survey data. In such cases the new poverty lines should be deflated to obtain comparable poverty estimates from earlier years. \n\nThis series only includes estimates that to the best of our knowledge are reasonably comparable over time for a country. For economies for which the data are from EU-SILC, the reported year is the income reference year, which is the year before the survey year. For all other economies, the year reported is the year in which the underlying household survey data were collected or, when the data collection period bridged two calendar years, the year in which data collection started.","^5<","Annual","^5@","National poverty headcount ratio is the percentage of the population living below the national poverty line(s).","^5?","The poverty rate as defined by national poverty lines reflects the share of the population that fails to meet the standard a country thinks is necessarty to cover basic needs.","^4W","World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific) poverty lines.","^4Y","National poverty headcount ratio is the percentage of the population living below the national poverty line(s). National estimates are based on population-weighted subgroup estimates from household surveys. For economies for which the data are from EU-SILC, the reported year is the income reference year, which is the year before the survey year.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","National poverty headcount ratio is the percentage of the population living below the national poverty line(s). National estimates are based on population-weighted subgroup estimates from household surveys. For economies for which the data are from EU-SILC, the reported year is the income reference year, which is the year before the survey year.","^5A","World Bank, Poverty and Inequality Platform: https://pip.worldbank.org/","^4Q","CC BY-4.0","^4V","Poverty: Poverty rates","^51","Poverty headcount ratio at national poverty lines","^50","World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific) poverty lines.","^4[","Poverty headcount ratio at national poverty lines (% of population)","^52","Poverty headcount ratio at national poverty lines (% of population)"]],"^4[",["^ ","^2","atom","^3","Poverty headcount ratio at national poverty lines (% of population)"],"id",["^ ","^2","atom","^3","SI.POV.NAHC"],"^53",["^ ","^2","atom","^3",[2020,["ID","GE","EC","BY","AM","KI","CR","CO","PE","ML","BO","CL","SV","RU","CN","PY","KZ","UY","MX","MN","AR","MD","VU","KG","TH"]]],"^54",["^ ","^2","atom","^3",["SI.POV.LMIC.GP","SI.POV.DDAY","SI.POV.MDIM","SI.POV.GINI","SI.POV.MDIM.MA","SI.POV.MDIM.17.XQ","SI.POV.UMIC","SI.POV.MDIM.HH","SI.POV.MDIM.FE"]],"^51",["^ ","^2","atom","^3","Poverty headcount ratio at national poverty lines"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","National poverty headcount ratio is the percentage of the population living below the national poverty line(s). National estimates are based on population-weighted subgroup estimates from household surveys. For economies for which the data are from EU-SILC, the reported year is the income reference year, which is the year before the survey year."],"^50",["^ ","^2","atom","^3","World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific) poverty lines."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","11","^3","Poverty "]]],"^58",["^ ","^2","atom","^3","percent"]],"^2Q",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5>","%","^4Q","CC BY-4.0","^5@","The percentage of people who are multidimensionally poor","^4V","Poverty: Multidimensional poverty","^4W","Government statistical agencies. Data for EU countires are from the EUROSTAT","^52","Multidimensional poverty headcount ratio (% of total population)","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","The percentage of people who are multidimensionally poor","Derivationmethod","Official multidimensional poverty headcount is calculated by each country using different methodologies. The most commonly used method is Alkire Foster (AF) methodology which identifies dimensions, typically health, education and living standards and several indicators in each dimension. The individuals are considered as multidimensionally poor if they are deprived in multiple indicators exceeding certain thresholds. Details of the methodology can be found here (https://ophi.org.uk/research/multidimensional-poverty/). It is also important to note that a country-specific analysis is carried out by adjusting the dimensions, indicators and thresholds to better reflect each country’s context and so the results presented in one country are not comparable with the findings of other countries on multidimensional poverty headcount. On the other hand, EU countries and North Macedonia use a completely different approach to measure the multidimensional poverty using the concept of “people at risk of poverty or social exclusion” (AROPE). AROPE consists of three indicators, and people will be considered as “at risk of poverty or social exclusion” if they are “at risk of poverty” or “severely materially deprived” or “living in a household with a very low work intensity”. Details of the methodology can be found here (https://ec.europa.eu/eurostat/statistics-explained/index.php/Glossary:At_risk_of_poverty_or_social_exclusion_(AROPE)).\nOfficial multidimensional poverty headcount is calculated by each country using different methodologies. The most commonly used method is Alkire Foster (AF) methodology which identifies dimensions, typically health, education and living standards and several indicators in each dimension. The individuals are considered as multidimensionally poor if they are deprived in multiple indicators exceeding certain thresholds. Details of the methodology can be found here (https://ophi.org.uk/research/multidimensional-poverty/). It is also important to note that a country-specific analysis is carried out by adjusting the dimensions, indicators and thresholds to better reflect each country’s context and so the results presented in one country are not comparable with the findings of other countries on multidimensional poverty headcount. \n\nOn the other hand, EU countries and North Macedonia use a slightly different approach to measure the multidimensional poverty using the concept of “people at risk of poverty or social exclusion” (AROPE). AROPE consists of three indicators, and people will be considered as “at risk of poverty or social exclusion” if they are “at risk of poverty” or “severely materially deprived” or “living in a household with a very low work intensity”. Details of the methodology can be found here (https://ec.europa.eu/eurostat/statistics-explained/index.php/Glossary:At_risk_of_poverty_or_social_exclusion_(AROPE)).","^5B","It should be clearly noted that these multidimensional indicators are not comparable across countries. For instance, AF methodology and AROPE are different, and although both produce some headcount ratio of people who are considered as “multidimensionally poor”, their definition of multidimensionality of poverty is utterly different, and so should not be compared. \n\nBesides, even when they use the same approach, the numbers are not comparable across countries, as the important parameters to calculate the figures such as the number of indicators and the weight allocated to each indicator are tailored depending on the country specific context.","^4[","Multidimensional poverty headcount ratio (% of total population)","^50","Government statistical agencies. Data for EU countires are from the EUROSTAT","^51","Multidimensional poverty headcount ratio"]],"^4[",["^ ","^2","atom","^3","Multidimensional poverty headcount ratio (% of total population)"],"id",["^ ","^2","atom","^3","SI.POV.MDIM"],"^53",["^ ","^2","atom","^3",[2020,["DE","ME","RO","GR","ES","TR","IE","AM","AL","AF","FR","CO","LV","MT","PL","SK","NO","LU","CY","CZ","EE","HR","FI","DK","PY","BG","BE","MX","AT","SE","LT","RS","SI","NL","HU"]]],"^54",["^ ","^2","atom","^3",["SI.POV.MDIM.MA","SI.POV.MDIM.17.XQ","SI.POV.MDIM.HH","SI.POV.MDIM.FE","SI.POV.MDIM.IT","SI.POV.MDIM.XQ","SI.POV.MDIM.17","SI.POV.NAHC","SI.POV.LMIC.GP"]],"^51",["^ ","^2","atom","^3","Multidimensional poverty headcount ratio"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","The percentage of people who are multidimensionally poor"],"^50",["^ ","^2","atom","^3","Government statistical agencies. Data for EU countires are from the EUROSTAT"],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","11","^3","Poverty "]]],"^58",["^ ","^2","atom","^3","percent"]],"^2R",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","WV.2"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.","^5:","See SH.STA.STNT.ME.ZS for aggregation","^5<","Annual","^4V","Health: Nutrition","^4W","UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.","^4Y","Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006.","^4Q","CC BY-4.0","^4[","Prevalence of stunting, height for age (% of children under 5)","^50","UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.","^51","Prevalence of stunting, height for age","^52","Prevalence of stunting, height for age (% of children under 5)"]],"^4[",["^ ","^2","atom","^3","Prevalence of stunting, height for age (% of children under 5)"],"id",["^ ","^2","atom","^3","SH.STA.STNT.ZS"],"^53",["^ ","^2","atom","^3",[2020,["PS","GM","RW","NG"]]],"^54",["^ ","^2","atom","^3",["SH.STA.STNT.MA.ZS","SH.STA.STNT.ME.ZS","SH.STA.STNT.FE.ZS","SH.STA.AIRP.MA.P5","SH.STA.MMRT","SH.STA.BRTC.ZS","SH.STA.WAST.MA.ZS","SH.STA.WASH.P5","SH.STA.SUIC.FE.P5"]],"^51",["^ ","^2","atom","^3","Prevalence of stunting, height for age"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006."],"^50",["^ ","^2","atom","^3","UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "],["^ ","id","2","^3","Aid Effectiveness "]]],"^58",["^ ","^2","atom","^3","percent"]],"^2S",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","2.15"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","This is the Sustainable Development Goal indicator 2.1.1[https://unstats.un.org/sdgs/metadata/].","^59","Data on undernourishment are from the Food and Agriculture Organization (FAO) of the United Nations and measure food deprivation based on average food available for human consumption per person, the level of inequality in access to food, and the minimum calories required for an average person.","^5:","Weighted average","^5<","Annual","^5?","Good nutrition is the cornerstone for survival, health and development. Well-nourished children perform better in school, grow into healthy adults and in turn give their children a better start in life. Well-nourished women face fewer risks during pregnancy and childbirth, and their children set off on firmer developmental paths, both physically and mentally (UNICEF www.childinfo.org).","^4W","Food and Agriculture Organization (http://www.fao.org/faostat/en/#home).","^4Y","Prevalence of undernourishments is the percentage of the population whose habitual food consumption is insufficient to provide the dietary energy levels that are required to maintain a normal active and healthy life. Data showing as 2.5 may signify a prevalence of undernourishment below 2.5%.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Prevalence of undernourishments is the percentage of the population whose habitual food consumption is insufficient to provide the dietary energy levels that are required to maintain a normal active and healthy life. Data showing as 2.5 may signify a prevalence of undernourishment below 2.5%.","^4V","Health: Nutrition","^4Q","CC BY-4.0","^5B","From a policy and program standpoint, this measure has its limits. First, food insecurity exists even where food availability is not a problem because of inadequate access of poor households to food. Second, food insecurity is an individual or household phenomenon, and the average food available to each person, even corrected for possible effects of low income, is not a good predictor of food insecurity among the population. And third, nutrition security is determined not only by food security but also by the quality of care of mothers and children and the quality of the household's health environment (Smith and Haddad 2000).","^51","Prevalence of undernourishment","^50","Food and Agriculture Organization (http://www.fao.org/faostat/en/#home).","^4[","Prevalence of undernourishment (% of population)","^52","Prevalence of undernourishment (% of population)"]],"^4[",["^ ","^2","atom","^3","Prevalence of undernourishment (% of population)"],"id",["^ ","^2","atom","^3","SN.ITK.DEFC.ZS"],"^53",["^ ","^2","atom","^3",[2019,["MU","BJ","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","IL","CO","VN","PE","NA","ML","IN","LS","DJ","LV","TM","IQ","ZA","T3","BO","HN","GM","MT","CL","KP","YE","PL","CD","T2","JO","SK","NO","XG","NI","SV","SZ","SL","AO","LU","GT","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","KW","VE","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","LT","T5","JM","PG","VU","AE","SN","CU","BA","VC","KE","MG","GA","KG","AU","DZ","UZ","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","PH","T6"]]],"^54",["^ ","^2","atom","^3",["SN.ITK.MSFI.ZS","SN.ITK.VITA.ZS","SN.ITK.SVFI.ZS","SN.ITK.SALT.ZS","SE.PRM.TCAQ.ZS","SL.EMP.VULN.ZS","SE.PRM.PRSL.ZS","SH.MMR.DTHS","SP.POP.2529.FE.5Y"]],"^51",["^ ","^2","atom","^3","Prevalence of undernourishment"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Prevalence of undernourishments is the percentage of the population whose habitual food consumption is insufficient to provide the dietary energy levels that are required to maintain a normal active and healthy life. Data showing as 2.5 may signify a prevalence of undernourishment below 2.5%."],"^50",["^ ","^2","atom","^3","Food and Agriculture Organization (http://www.fao.org/faostat/en/#home)."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://www.fao.org/faostat/en/#home"],"^57",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "]]],"^58",["^ ","^2","atom","^3","percent"]],"^2T",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Health","^59","The assessment is conducted using data collected with the Food Insecurity Experience Scale or a compatible experience-based food security measurement questionnaire (such as the HFSSM). The probability to be food insecure is estimated using the one-parameter logistic Item Response Theory model (the Rasch model) and thresholds for classification are made cross country comparable by calibrating the metrics obtained in each country against the FIES global reference scale, maintained by FAO. The threshold to classify \"severe\" food insecurity corresponds to the severity associated with the item \"having not eaten for an entire day\" on the global FIES scale. It is an indicator of lack of food access.The indicator is calculated as an average over 3 years (eg. data for 2015 is the average of 2014-2016 data).","^5<","Annual","^5?","Food insecurity at moderate levels of severity is typically associated with the inability to regularly eat healthy, balanced diets. As such, high prevalence of food insecurity at moderate levels can be considered a predictor of various forms of diet-related health conditions in the population, associated with micronutrient deficiency and unbalanced diets. Severe levels of food insecurity, on the other hand, imply a high probability of reduced food intake and therefore can lead to more severe forms of undernutrition, including hunger. FAO has identified the FIES as the tool with the greatest potential for becoming a global standard capable of providing comparable information on food insecurity experience across countries and population groups to track progress on reducing food insecurity and\nhunger","^4W","Food and Agriculture Organization of the United Nations (FAO)","^4Y","The percentage of people in the population who live in households classified as severely food insecure. A household is classified as severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to several of the most severe experiences described in the FIES questions, such as to have been forced to reduce the quantity of the food, to have skipped meals, having gone hungry, or having to go for a whole day without eating because of a lack of money or other resources.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","The percentage of people in the population who live in households classified as severely food insecure. A household is classified as severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to several of the most severe experiences described in the FIES questions, such as to have been forced to reduce the quantity of the food, to have skipped meals, having gone hungry, or having to go for a whole day without eating because of a lack of money or other resources.","^4Q","CC BY-4.0","^4[","Prevalence of severe food insecurity in the population (%)","^50","Food and Agriculture Organization of the United Nations (FAO)","^51","Prevalence of severe food insecurity in the population","^52","Prevalence of severe food insecurity in the population (%)"]],"^4[",["^ ","^2","atom","^3","Prevalence of severe food insecurity in the population (%)"],"id",["^ ","^2","atom","^3","SN.ITK.SVFI.ZS"],"^53",["^ ","^2","atom","^3",[2019,["MU","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BD","ES","US","IE","UA","MW","JP","AM","SO","IT","AL","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","VN","PE","NA","SS","PS","LS","LV","SC","ZA","LY","HN","GM","ZM","MT","CL","PL","CD","SK","NO","ZW","SV","SZ","SL","AO","LU","GT","AZ","CZ","ET","EE","HR","RU","TZ","FI","DK","CH","FJ","KZ","TO","KW","NZ","BF","BG","BE","UY","MX","MN","GH","AR","CA","IR","NG","CM","MM","SD","MY","WS","AT","SE","KH","LR","MD","LT","VU","SN","BA","KE","KG","AU","DZ","UZ","UG","SG","IS","RS","SI","NL","HU","GB","EG","TH","MZ","NP","KR","PH"]]],"^54",["^ ","^2","atom","^3",["SN.ITK.DEFC.ZS","SN.ITK.MSFI.ZS","SN.ITK.VITA.ZS","SN.ITK.SALT.ZS","SE.PRM.TCAQ.ZS","SL.EMP.VULN.ZS","SE.PRM.PRSL.ZS","SH.MMR.DTHS","SP.POP.2529.FE.5Y"]],"^51",["^ ","^2","atom","^3","Prevalence of severe food insecurity in the population"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","The percentage of people in the population who live in households classified as severely food insecure. A household is classified as severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to several of the most severe experiences described in the FIES questions, such as to have been forced to reduce the quantity of the food, to have skipped meals, having gone hungry, or having to go for a whole day without eating because of a lack of money or other resources."],"^50",["^ ","^2","atom","^3","Food and Agriculture Organization of the United Nations (FAO)"],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "]]],"^58",["^ ","^2","atom","^3","percent"]],"^2U",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","2.15"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.","^5:","Linear mixed-effect model estimates","^5<","Annual","^4V","Health: Nutrition","^4W","UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.","^4Y","Prevalence of stunting, female, is the percentage of girls under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Prevalence of stunting, female, is the percentage of girls under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006.","^4Q","CC BY-4.0","^4[","Prevalence of stunting, height for age, female (% of children under 5)","^50","UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.","^51","Prevalence of stunting, height for age, female","^52","Prevalence of stunting, height for age, female (% of children under 5)"]],"^4[",["^ ","^2","atom","^3","Prevalence of stunting, height for age, female (% of children under 5)"],"id",["^ ","^2","atom","^3","SH.STA.STNT.FE.ZS"],"^53",["^ ","^2","atom","^3",[2020,["PS","GM","RW","NG"]]],"^54",["^ ","^2","atom","^3",["SH.STA.STNT.MA.ZS","SH.STA.STNT.ME.ZS","SH.STA.STNT.ZS","SH.STA.AIRP.MA.P5","SH.STA.MMRT","SH.STA.BRTC.ZS","SH.STA.WAST.MA.ZS","SH.STA.WASH.P5","SH.STA.SUIC.FE.P5"]],"^51",["^ ","^2","atom","^3","Prevalence of stunting, height for age, female"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Prevalence of stunting, female, is the percentage of girls under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006."],"^50",["^ ","^2","atom","^3","UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "]]],"^58",["^ ","^2","atom","^3","percent"]],"^2V",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","2.15"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.","^5:","Linear mixed-effect model estimates","^5<","Annual","^4V","Health: Nutrition","^4W","UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.","^4Y","Prevalence of stunting, male, is the percentage of boys under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Prevalence of stunting, male, is the percentage of boys under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006.","^4Q","CC BY-4.0","^4[","Prevalence of stunting, height for age, male (% of children under 5)","^50","UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.","^51","Prevalence of stunting, height for age, male","^52","Prevalence of stunting, height for age, male (% of children under 5)"]],"^4[",["^ ","^2","atom","^3","Prevalence of stunting, height for age, male (% of children under 5)"],"id",["^ ","^2","atom","^3","SH.STA.STNT.MA.ZS"],"^53",["^ ","^2","atom","^3",[2020,["PS","GM","RW","NG"]]],"^54",["^ ","^2","atom","^3",["SH.STA.STNT.ME.ZS","SH.STA.STNT.FE.ZS","SH.STA.STNT.ZS","SH.STA.AIRP.MA.P5","SH.STA.MMRT","SH.STA.BRTC.ZS","SH.STA.WAST.MA.ZS","SH.STA.WASH.P5","SH.STA.SUIC.FE.P5"]],"^51",["^ ","^2","atom","^3","Prevalence of stunting, height for age, male"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Prevalence of stunting, male, is the percentage of boys under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006."],"^50",["^ ","^2","atom","^3","UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "]]],"^58",["^ ","^2","atom","^3","percent"]],"^2W",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","2.18"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.\n\nAggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.\n\nThis is the Sustainable Development Goal indicator 3.2.1[https://unstats.un.org/sdgs/metadata/].","^59","The main sources of mortality data are vital registration systems and direct or indirect estimates based on sample surveys or censuses. A \"complete\" vital registration system - covering at least 90 percent of vital events in the population - is the best source of age-specific mortality data.\n\nEstimates of neonatal, infant, and child mortality tend to vary by source and method for a given time and place. Years for available estimates also vary by country, making comparisons across countries and over time difficult. To make neonatal, infant, and child mortality estimates comparable and to ensure consistency across estimates by different agencies, the United Nations Inter-agency Group for Child Mortality Estimation (UN IGME), which comprises the United Nations Children's Fund (UNICEF), the World Health Organization (WHO), the World Bank, the United Nations Population Division, and other universities and research institutes, developed and adopted a statistical method that uses all available information to reconcile differences. The method uses statistical models to obtain a best estimate trend line by fitting a country-specific regression model of mortality rates against their reference dates.","^5:","Weighted average","^5<","Annual","^5?","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.","^4W","Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.","^4Y","Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified year.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified year.","^4V","Health: Mortality","^4Q","CC BY-4.0","^5B","Complete vital registration systems are fairly uncommon in developing countries. Thus estimates must be obtained from sample surveys or derived by applying indirect estimation techniques to registration, census, or survey data. Survey data are subject to recall error, and surveys estimating infant/child deaths require large samples because households in which a birth has occurred during a given year cannot ordinarily be preselected for sampling. Indirect estimates rely on model life tables that may be inappropriate for the population concerned. Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.","^51","Mortality rate, under-5","^50","Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.","^4[","Mortality rate, under-5 (per 1,000 live births)","^52","Mortality rate, under-5 (per 1,000 live births)"]],"^4[",["^ ","^2","atom","^3","Mortality rate, under-5 (per 1,000 live births)"],"id",["^ ","^2","atom","^3","SH.DYN.MORT"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","ST","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","MC","SY","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","IN","LS","DJ","LV","TM","SM","IQ","ER","PW","SC","ZA","LY","T3","BO","HN","GM","ZM","MT","CL","KP","YE","PL","CD","T2","JO","SK","NO","ZW","XG","KN","NI","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","AD","MD","LT","T5","JM","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","GA","KG","NR","AU","DZ","UZ","UG","SG","IS","RS","SI","T7","GY","CI","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","QA","GD","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["SH.DYN.MORT.MA","SH.DYN.MORT.FE","SH.DYN.NCOM.FE.ZS","SH.DYN.2024","SH.DYN.1014","SH.DYN.0509","SH.DYN.AIDS.ZS","SH.DYN.NMRT","SH.DYN.NCOM.ZS"]],"^51",["^ ","^2","atom","^3","Mortality rate, under-5"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified year."],"^50",["^ ","^2","atom","^3","Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "],["^ ","id","2","^3","Aid Effectiveness "],["^ ","id","19","^3","Climate Change"]]],"^58",["^ ","^2","atom","^3","unknown"]],"^2X",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","WV.2"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","This is the Sustainable Development Goal indicator 3.3.1 [https://unstats.un.org/sdgs/metadata/].","^59","Data on incidence of HIV are from the Joint United Nations Programme on HIV/AIDS. Because of challenges in collecting direct measures of HIV incidence, modelled estimates are used (the Spectrum software). The models incorporate data on HIV prevalence from surveys of the general population, antenatal clinic attendees, and populations at increased risk of contracting HIV (such as sex workers, men who have sex with men, and people who inject drugs) and on the number of people receiving antiretroviral therapy, which will increase the prevalence of HIV because people living with HIV now survive longer. In countries with high-quality health information systems the models are also informed by case reporting and vital registration data.","^5:","Weighted average","^5<","Annual","^5?","Despite the existence of effective medications and treatment, HIV/AIDS is still a leading cause of death and public health threat in the world. Low and middle income countries continue to bear a disproportionate share of the global burden of HIV/AIDS. The incidence rate provides a measure of progress toward preventing onward transmission of HIV. Also, the identification of newly infected persons will allow for interventions to reduce the risk of HIV transmission.","^4W","UNAIDS estimates.","^4Y","Number of new HIV infections among uninfected populations ages 15-49 expressed per 1,000 uninfected population in the year before the period.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Number of new HIV infections among uninfected populations ages 15-49 expressed per 1,000 uninfected population in the year before the period.","^4Q","CC BY-4.0","^4V","Health: Risk factors","^4[","Incidence of HIV, ages 15-49 (per 1,000 uninfected population ages 15-49)","^50","UNAIDS estimates.","^51","Incidence of HIV, ages 15-49","^52","Incidence of HIV, ages 15-49 (per 1,000 uninfected population ages 15-49)"]],"^4[",["^ ","^2","atom","^3","Incidence of HIV, ages 15-49 (per 1,000 uninfected population ages 15-49)"],"id",["^ ","^2","atom","^3","SH.HIV.INCD.ZS"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","LB","MA","TL","LA","DE","ID","GE","TN","ME","BW","EC","RO","GR","PK","SR","ES","GW","TG","BY","IE","UA","MW","JP","AM","SY","SO","IT","AL","HT","CG","PT","AF","CR","GN","CO","BS","VN","PE","NA","ML","SS","KM","LS","DJ","ER","ZA","LY","T3","BO","HN","GM","ZM","CL","YE","CD","JO","NO","ZW","XG","NI","SV","SZ","SL","AO","GT","AZ","ET","EE","HR","TT","TZ","DK","PY","RW","FJ","KZ","VE","NZ","BF","SA","UY","MX","DO","MN","GH","AR","IR","BZ","NG","CM","SD","MY","KH","PA","LR","MD","JM","PG","AE","SN","CU","TJ","KE","MG","GA","KG","AU","DZ","UZ","UG","SG","IS","RS","SI","GY","CI","NL","EG","TH","LK","MZ","NP","TD","QA","BT","PH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["SH.HIV.INCD","SH.HIV.INCD.TL.P3","SH.HIV.INCD.TL","SH.HIV.INCD.14","SH.HIV.INCD.YG","SH.HIV.INCD.YG.P3","SH.HIV.0014","SH.HIV.1524.FE.ZS","SH.HIV.ARTC.ZS"]],"^51",["^ ","^2","atom","^3","Incidence of HIV, ages 15-49"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Number of new HIV infections among uninfected populations ages 15-49 expressed per 1,000 uninfected population in the year before the period."],"^50",["^ ","^2","atom","^3","UNAIDS estimates."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^2Y",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","2.18"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.\n\nAggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.\n\nThis is a sex-disaggregated indicator for Sustainable Development Goal 3.2.1 [https://unstats.un.org/sdgs/metadata/].","^59","The main sources of mortality data are vital registration systems and direct or indirect estimates based on sample surveys or censuses. A \"complete\" vital registration system - covering at least 90 percent of vital events in the population - is the best source of age-specific mortality data.\n\nEstimates of neonatal, infant, and child mortality tend to vary by source and method for a given time and place. Years for available estimates also vary by country, making comparisons across countries and over time difficult. To make neonatal, infant, and child mortality estimates comparable and to ensure consistency across estimates by different agencies, the United Nations Inter-agency Group for Child Mortality Estimation (UN IGME), which comprises the United Nations Children's Fund (UNICEF), the World Health Organization (WHO), the World Bank, the United Nations Population Division, and other universities and research institutes, developed and adopted a statistical method that uses all available information to reconcile differences. The method uses statistical models to obtain a best estimate trend line by fitting a country-specific regression model of mortality rates against their reference dates.","^5:","Weighted average","^5<","Annual","^5?","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.","^4W","Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.","^4Y","Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.","^4V","Health: Mortality","^4Q","CC BY-4.0","^5B","Complete vital registration systems are fairly uncommon in developing countries. Thus estimates must be obtained from sample surveys or derived by applying indirect estimation techniques to registration, census, or survey data. Survey data are subject to recall error, and surveys estimating infant/child deaths require large samples because households in which a birth has occurred during a given year cannot ordinarily be preselected for sampling. Indirect estimates rely on model life tables that may be inappropriate for the population concerned. Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.","^51","Mortality rate, under-5, female","^50","Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.","^4[","Mortality rate, under-5, female (per 1,000 live births)","^52","Mortality rate, under-5, female (per 1,000 live births)"]],"^4[",["^ ","^2","atom","^3","Mortality rate, under-5, female (per 1,000 live births)"],"id",["^ ","^2","atom","^3","SH.DYN.MORT.FE"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","ST","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","MC","SY","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","IN","LS","DJ","LV","TM","SM","IQ","ER","PW","SC","ZA","LY","T3","BO","HN","GM","ZM","MT","CL","KP","YE","PL","CD","T2","JO","SK","NO","ZW","XG","KN","NI","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","AD","MD","LT","T5","JM","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","GA","KG","NR","AU","DZ","UZ","UG","SG","IS","RS","SI","T7","GY","CI","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","QA","GD","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["SH.DYN.MORT","SH.DYN.MORT.MA","SH.DYN.NCOM.FE.ZS","SH.DYN.2024","SH.DYN.1014","SH.DYN.0509","SH.DYN.AIDS.ZS","SH.DYN.NMRT","SH.DYN.NCOM.ZS"]],"^51",["^ ","^2","atom","^3","Mortality rate, under-5, female"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year."],"^50",["^ ","^2","atom","^3","Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^2Z",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","2.18"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.\n\nAggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.\n\nThis is a sex-disaggregated indicator for Sustainable Development Goal 3.2.1 [https://unstats.un.org/sdgs/metadata/].","^59","The main sources of mortality data are vital registration systems and direct or indirect estimates based on sample surveys or censuses. A \"complete\" vital registration system - covering at least 90 percent of vital events in the population - is the best source of age-specific mortality data.\n\nEstimates of neonatal, infant, and child mortality tend to vary by source and method for a given time and place. Years for available estimates also vary by country, making comparisons across countries and over time difficult. To make neonatal, infant, and child mortality estimates comparable and to ensure consistency across estimates by different agencies, the United Nations Inter-agency Group for Child Mortality Estimation (UN IGME), which comprises the United Nations Children's Fund (UNICEF), the World Health Organization (WHO), the World Bank, the United Nations Population Division, and other universities and research institutes, developed and adopted a statistical method that uses all available information to reconcile differences. The method uses statistical models to obtain a best estimate trend line by fitting a country-specific regression model of mortality rates against their reference dates.","^5:","Weighted average","^5<","Annual","^5?","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.","^4W","Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.","^4Y","Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male age-specific mortality rates of the specified year.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male age-specific mortality rates of the specified year.","^4V","Health: Mortality","^4Q","CC BY-4.0","^5B","Complete vital registration systems are fairly uncommon in developing countries. Thus estimates must be obtained from sample surveys or derived by applying indirect estimation techniques to registration, census, or survey data. Survey data are subject to recall error, and surveys estimating infant/child deaths require large samples because households in which a birth has occurred during a given year cannot ordinarily be preselected for sampling. Indirect estimates rely on model life tables that may be inappropriate for the population concerned. Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.","^51","Mortality rate, under-5, male","^50","Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.","^4[","Mortality rate, under-5, male (per 1,000 live births)","^52","Mortality rate, under-5, male (per 1,000 live births)"]],"^4[",["^ ","^2","atom","^3","Mortality rate, under-5, male (per 1,000 live births)"],"id",["^ ","^2","atom","^3","SH.DYN.MORT.MA"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","ST","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","MC","SY","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","IN","LS","DJ","LV","TM","SM","IQ","ER","PW","SC","ZA","LY","T3","BO","HN","GM","ZM","MT","CL","KP","YE","PL","CD","T2","JO","SK","NO","ZW","XG","KN","NI","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","AD","MD","LT","T5","JM","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","GA","KG","NR","AU","DZ","UZ","UG","SG","IS","RS","SI","T7","GY","CI","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","QA","GD","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["SH.DYN.MORT","SH.DYN.MORT.FE","SH.DYN.NCOM.FE.ZS","SH.DYN.2024","SH.DYN.1014","SH.DYN.0509","SH.DYN.AIDS.ZS","SH.DYN.NMRT","SH.DYN.NCOM.ZS"]],"^51",["^ ","^2","atom","^3","Mortality rate, under-5, male"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male age-specific mortality rates of the specified year."],"^50",["^ ","^2","atom","^3","Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^2[",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","2.14"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","This is the Sustainable Development Goal indicator 3.7.2 [https://unstats.un.org/sdgs/metadata/].","^59","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.","^5:","Weighted average","^5<","Annual","^4V","Health: Reproductive health","^4W","United Nations Population Division, World Population Prospects.","^4Y","Adolescent fertility rate is the number of births per 1,000 women ages 15-19.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Adolescent fertility rate is the number of births per 1,000 women ages 15-19.","^4Q","CC BY-4.0","^4[","Adolescent fertility rate (births per 1,000 women ages 15-19)","^50","United Nations Population Division, World Population Prospects.","^51","Adolescent fertility rate","^52","Adolescent fertility rate (births per 1,000 women ages 15-19)"]],"^4[",["^ ","^2","atom","^3","Adolescent fertility rate (births per 1,000 women ages 15-19)"],"id",["^ ","^2","atom","^3","SP.ADO.TFRT"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","VI","LB","MA","TL","LA","MR","DE","ID","GE","TN","AW","BR","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","SY","SO","IT","AL","HT","CG","KI","MK","JG","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","IN","LS","DJ","LV","TM","IQ","ER","SC","ZA","LY","T3","BO","HN","GM","ZM","MT","CL","KP","YE","PL","CD","T2","JO","SK","NO","ZW","XG","NI","PR","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","MD","LT","T5","JM","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","GA","KG","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","GU","QA","GD","BT","PH","BH","T6","NE"]]],"^54",["^ ","^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"]],"^51",["^ ","^2","atom","^3","Adolescent fertility rate"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Adolescent fertility rate is the number of births per 1,000 women ages 15-19."],"^50",["^ ","^2","atom","^3","United Nations Population Division, World Population Prospects."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "],["^ ","id","17","^3","Gender"],["^ ","id","15","^3","Social Development "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^30",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","For aggregate data, each economy is classified based on the classification of World Bank Group's fiscal year 2021 (July 1, 2020-June 30, 2021).","^59","Lower secondary completion rate is calculated as the number of new entrants (enrollment minus repeaters) in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower 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. 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).","^5:","Weighted average","^5<","Annual","^4V","Education: Outcomes","^4W","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021.","^4Y","Lower secondary education completion rate is measured as the gross intake ratio to the last grade of lower secondary education (general and pre-vocational). It is calculated as the number of new entrants in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower secondary education.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Lower secondary education completion rate is measured as the gross intake ratio to the last grade of lower secondary education (general and pre-vocational). It is calculated as the number of new entrants in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower secondary education.","^4Q","CC BY-4.0","^5B","Data limitations preclude adjusting for students who drop out during the final year of lower secondary education. Thus this rate is a proxy that should be taken as an upper estimate of the actual lower secondary completion rate. \n\nThere are many reasons why the rate can exceed 100 percent. The numerator may include late entrants and overage children who have repeated one or more grades of lower secondary 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 lower secondary education.","^4[","Lower secondary completion rate, total (% of relevant age group)","^50","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021.","^51","Lower secondary completion rate, total","^52","Lower secondary completion rate, total (% of relevant age group)"]],"^4[",["^ ","^2","atom","^3","Lower secondary completion rate, total (% of relevant age group)"],"id",["^ ","^2","atom","^3","SE.SEC.CMPT.LO.ZS"],"^53",["^ ","^2","atom","^3",[2021,["MU","BI","DJ","GM"]]],"^54",["^ ","^2","atom","^3",["SE.SEC.CMPT.LO.MA.ZS","SE.SEC.CMPT.LO.FE.ZS","SE.SEC.CUAT.LO.ZS","SE.SEC.TCAQ.FE.ZS","SE.SEC.UNER.LO.MA.ZS","SE.SEC.NENR.MA","SE.SEC.ENRL.TC.ZS","SE.SEC.AGES","SE.SEC.PRIV.ZS"]],"^51",["^ ","^2","atom","^3","Lower secondary completion rate, total"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Lower secondary education completion rate is measured as the gross intake ratio to the last grade of lower secondary education (general and pre-vocational). It is calculated as the number of new entrants in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower secondary education."],"^50",["^ ","^2","atom","^3","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://uis.unesco.org/"],"^57",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "]]],"^58",["^ ","^2","atom","^3","percent"]],"^31",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","For aggregate data, each economy is classified based on the classification of World Bank Group's fiscal year 2021 (July 1, 2020-June 30, 2021).","^59","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.","^5:","Weighted average","^5<","Annual","^5?","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.","^4W","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021.","^4Y","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.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","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.","^4V","Education: Outcomes","^4Q","CC BY-4.0","^5B","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.","^51","Literacy rate, youth total","^50","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021.","^4[","Literacy rate, youth total (% of people ages 15-24)","^52","Literacy rate, youth total (% of people ages 15-24)"]],"^4[",["^ ","^2","atom","^3","Literacy rate, youth total (% of people ages 15-24)"],"id",["^ ","^2","atom","^3","SE.ADT.1524.LT.ZS"],"^53",["^ ","^2","atom","^3",[2021,["AF"]]],"^54",["^ ","^2","atom","^3",["SE.ADT.1524.LT.FM.ZS","SE.ADT.1524.LT.MA.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.PRM.NINT.FE.ZS"]],"^51",["^ ","^2","atom","^3","Literacy rate, youth total"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^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."],"^50",["^ ","^2","atom","^3","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://uis.unesco.org/"],"^57",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "]]],"^58",["^ ","^2","atom","^3","percent"]],"^32",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","2.10"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","For aggregate data, each economy is classified based on the classification of World Bank Group's fiscal year 2021 (July 1, 2020-June 30, 2021).","^59","Lower secondary completion rate is calculated as the number of new entrants (enrollment minus repeaters) in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower 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. 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).","^5:","Weighted average","^5<","Annual","^4V","Education: Outcomes","^4W","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021.","^4Y","Lower secondary education completion rate is measured as the gross intake ratio to the last grade of lower secondary education (general and pre-vocational). It is calculated as the number of new entrants in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower secondary education.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Lower secondary education completion rate is measured as the gross intake ratio to the last grade of lower secondary education (general and pre-vocational). It is calculated as the number of new entrants in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower secondary education.","^4Q","CC BY-4.0","^5B","Data limitations preclude adjusting for students who drop out during the final year of lower secondary education. Thus this rate is a proxy that should be taken as an upper estimate of the actual lower secondary completion rate. \n\nThere are many reasons why the rate can exceed 100 percent. The numerator may include late entrants and overage children who have repeated one or more grades of lower secondary 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 lower secondary education.","^4[","Lower secondary completion rate, female (% of relevant age group)","^50","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021.","^51","Lower secondary completion rate, female","^52","Lower secondary completion rate, female (% of relevant age group)"]],"^4[",["^ ","^2","atom","^3","Lower secondary completion rate, female (% of relevant age group)"],"id",["^ ","^2","atom","^3","SE.SEC.CMPT.LO.FE.ZS"],"^53",["^ ","^2","atom","^3",[2021,["MU","BI","DJ","GM"]]],"^54",["^ ","^2","atom","^3",["SE.SEC.CMPT.LO.ZS","SE.SEC.CMPT.LO.MA.ZS","SE.SEC.CUAT.LO.ZS","SE.SEC.TCAQ.FE.ZS","SE.SEC.UNER.LO.MA.ZS","SE.SEC.NENR.MA","SE.SEC.ENRL.TC.ZS","SE.SEC.AGES","SE.SEC.PRIV.ZS"]],"^51",["^ ","^2","atom","^3","Lower secondary completion rate, female"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Lower secondary education completion rate is measured as the gross intake ratio to the last grade of lower secondary education (general and pre-vocational). It is calculated as the number of new entrants in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower secondary education."],"^50",["^ ","^2","atom","^3","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://uis.unesco.org/"],"^57",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "]]],"^58",["^ ","^2","atom","^3","percent"]],"^33",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","2.10"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","For aggregate data, each economy is classified based on the classification of World Bank Group's fiscal year 2021 (July 1, 2020-June 30, 2021).","^59","Lower secondary completion rate is calculated as the number of new entrants (enrollment minus repeaters) in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower 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. 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).","^5:","Weighted average","^5<","Annual","^4V","Education: Outcomes","^4W","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021.","^4Y","Lower secondary education completion rate is measured as the gross intake ratio to the last grade of lower secondary education (general and pre-vocational). It is calculated as the number of new entrants in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower secondary education.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Lower secondary education completion rate is measured as the gross intake ratio to the last grade of lower secondary education (general and pre-vocational). It is calculated as the number of new entrants in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower secondary education.","^4Q","CC BY-4.0","^5B","Data limitations preclude adjusting for students who drop out during the final year of lower secondary education. Thus this rate is a proxy that should be taken as an upper estimate of the actual lower secondary completion rate. \n\nThere are many reasons why the rate can exceed 100 percent. The numerator may include late entrants and overage children who have repeated one or more grades of lower secondary 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 lower secondary education.","^4[","Lower secondary completion rate, male (% of relevant age group)","^50","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021.","^51","Lower secondary completion rate, male","^52","Lower secondary completion rate, male (% of relevant age group)"]],"^4[",["^ ","^2","atom","^3","Lower secondary completion rate, male (% of relevant age group)"],"id",["^ ","^2","atom","^3","SE.SEC.CMPT.LO.MA.ZS"],"^53",["^ ","^2","atom","^3",[2021,["MU","BI","DJ","GM"]]],"^54",["^ ","^2","atom","^3",["SE.SEC.CMPT.LO.ZS","SE.SEC.CMPT.LO.FE.ZS","SE.SEC.CUAT.LO.ZS","SE.SEC.TCAQ.FE.ZS","SE.SEC.UNER.LO.MA.ZS","SE.SEC.NENR.MA","SE.SEC.ENRL.TC.ZS","SE.SEC.AGES","SE.SEC.PRIV.ZS"]],"^51",["^ ","^2","atom","^3","Lower secondary completion rate, male"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Lower secondary education completion rate is measured as the gross intake ratio to the last grade of lower secondary education (general and pre-vocational). It is calculated as the number of new entrants in the last grade of lower secondary education, regardless of age, divided by the population at the entrance age for the last grade of lower secondary education."],"^50",["^ ","^2","atom","^3","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://uis.unesco.org/"],"^57",["^ ","^2","atom","^3",[["^ ","id","4","^3","Education "]]],"^58",["^ ","^2","atom","^3","percent"]],"^34",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","For the reference period, WDI and Gender Databases take the data coverage years instead of reporting years used in WBL (https://wbl.worldbank.org/). For example, the data for YR2020 in WBL (report year) corresponds to data for YR2019 in WDI and Gender Databases.","^59","Women, Business and the Law tracks progress toward legal equality between men and women in 190 economies. Data are collected with standardized questionnaires to ensure comparability across economies. Questionnaires are administered to over 2,000 respondents with expertise in family, labor, and criminal law, including lawyers, judges, academics, and members of civil society organizations working on gender issues. Respondents provide responses to the questionnaires and references to relevant laws and regulations. The Women, Business and the Law team collects the texts of these codified sources of national law - constitutions, codes, laws, statutes, rules, regulations, and procedures - and checks questionnaire responses for accuracy. Thirty-five data points are scored across eight indicators of four or five binary questions, with each indicator representing a different phase of a woman’s career. Indicator-level scores are obtained by calculating the unweighted average of the questions within that indicator and scaling the result to 100. Overall scores are then calculated by taking the average of each indicator, with 100 representing the highest possible score.","^5<","Annual","^5?","The knowledge and analysis provided by Women, Business and the Law make a strong economic case for laws that empower women. Better performance in the areas measured by the Women, Business and the Law index is associated with more women in the labor force and with higher income and improved development outcomes. Equality before the law and of economic opportunity are not only wise social policy but also good economic policy. The equal participation of women and men will give every economy a chance to achieve its potential. Given the economic significance of women's empowerment, the ultimate goal of Women, Business and the Law is to encourage governments to reform laws that hold women back from working and doing business.","^4W","World Bank: Women, Business and the Law. https://wbl.worldbank.org/","^4Y","The index measures how laws and regulations affect women’s economic opportunity. Overall scores are calculated by taking the average score of each index (Mobility, Workplace, Pay, Marriage, Parenthood, Entrepreneurship, Assets and Pension), with 100 representing the highest possible score.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","The index measures how laws and regulations affect women’s economic opportunity. Overall scores are calculated by taking the average score of each of the eight areas (Going Places, Starting a Job, Getting Paid, Getting Married, Having Children, Running a Business, Managing Assets and Getting a Pension), with 100 representing the highest possible score.","^5B","The Women, Business and the Law methodology has limitations that should be considered when interpreting the data. All eight indicators are based on standardized assumptions to ensure comparability across economies. Comparability is one of the strengths of the data, but the assumptions can also be limitations as they may not capture all restrictions or represent all particularities in a country. It is assumed that the woman resides in the economy's main business city of the economy. In federal economies, laws affecting women can vary by state or province. Even in nonfederal economies, women in rural areas and small towns could face more restrictive local legislation. Such restrictions are not captured by Women, Business and the Law unless they are also found in the main business city. The woman has reached the legal age of majority and is capable of making decisions as an adult, is in good health and has no criminal record. She is a lawful citizen of the economy being examined, and she works as a cashier in the food retail sector in a supermarket or grocery store that has 60 employees. She is a cisgender, heterosexual woman in a monogamous first marriage registered with the appropriate authorities (de facto marriages and customary unions are not measured), she is of the same religion as her husband, and is in a marriage under the rules of the default marital property regime, or the most common regime for that jurisdiction, which will not change during the course of the marriage. She is not a member of a union, unless membership is mandatory. Membership is considered mandatory when collective bargaining agreements cover more than 50 percent of the workforce in the food retail sector and when they apply to individuals who were not party to the original collective bargaining agreement. Where personal law prescribes different rights and obligations for different groups of women, the data focus on the most populous group, which may mean that restrictions that apply only to minority populations are missed. Women, Business and the Law focuses solely on the ways in which the formal legal and regulatory environment determines whether women can work or open their own businesses. The data set is constructed using laws and regulations that are codified (de jure) and currently in force, therefore implementation of laws (de facto) is not measured. The data looks only at laws that apply to the private sector. These assumptions can limit the representativeness of the data for the entire population in each country. Finally, Women, Business and the Law recognizes that the laws it measures do not apply to all women in the same way. Women face intersectional forms of discrimination based on gender, sex, sexuality, race, gender identity, religion, family status, ethnicity, nationality, disability, and a myriad of other grounds. Women, Business and the Law therefore encourages readers to interpret the data in conjunction with other available research.","^4Q","CC BY-4.0","^4V","Gender: Public life & decision making","^4[","Women Business and the Law Index Score (scale 1-100)","^50","World Bank: Women, Business and the Law. https://wbl.worldbank.org/","^51","Women Business and the Law Index Score","^52","Women Business and the Law Index Score (scale 1-100)"]],"^4[",["^ ","^2","atom","^3","Women Business and the Law Index Score (scale 1-100)"],"id",["^ ","^2","atom","^3","SG.LAW.INDX"],"^53",["^ ","^2","atom","^3",[2021,["MU","BI","BJ","LB","MA","XK","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","ST","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","SY","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","IN","LS","DJ","LV","SM","IQ","ER","PW","SC","ZA","LY","BO","HN","GM","ZM","MT","CL","YE","PL","CD","JO","SK","NO","ZW","KN","NI","PR","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","MD","LT","JM","PG","VU","AE","SN","BA","TJ","LC","VC","KE","MG","GA","KG","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","GY","CI","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","QA","GD","BT","PH","BH","NE"]]],"^54",["^ ","^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.GEN.PARL.ZS"]],"^51",["^ ","^2","atom","^3","Women Business and the Law Index Score"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","The index measures how laws and regulations affect women’s economic opportunity. Overall scores are calculated by taking the average score of each of the eight areas (Going Places, Starting a Job, Getting Paid, Getting Married, Having Children, Running a Business, Managing Assets and Getting a Pension), with 100 representing the highest possible score."],"^50",["^ ","^2","atom","^3","World Bank: Women, Business and the Law. https://wbl.worldbank.org/"],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://wbl.worldbank.org/"],"^57",["^ ","^2","atom","^3",[["^ ","id","17","^3","Gender"],["^ ","id","17","^3","Gender"]]],"^58",["^ ","^2","atom","^3","unknown"]],"^35",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","WV.5"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Social Protection & Labor: Economic activity","^5<","Annual","^5?","The indicator provides information on the proportion of women who are employed in decision-making and management roles in government, large enterprises and institutions.","^4W","International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.","^4Y","The proportion of females in total employment in senior and middle management. It corresponds to major group 1 in both ISCO-08 and ISCO-88 minus category 14 in ISCO-08 (hospitality, retail and other services managers) and minus category 13 in ISCO-88 (general managers), since these comprise mainly managers of small enterprises.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","The proportion of females in total employment in senior and middle management. It corresponds to major group 1 in both ISCO-08 and ISCO-88 minus category 14 in ISCO-08 (hospitality, retail and other services managers) and minus category 13 in ISCO-88 (general managers), since these comprise mainly managers of small enterprises.","^4Q","CC BY-4.0","^4[","Female share of employment in senior and middle management (%)","^50","International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021.","^51","Female share of employment in senior and middle management","^52","Female share of employment in senior and middle management (%)"]],"^4[",["^ ","^2","atom","^3","Female share of employment in senior and middle management (%)"],"id",["^ ","^2","atom","^3","SL.EMP.SMGT.FE.ZS"],"^53",["^ ","^2","atom","^3",[2020,["US"]]],"^54",["^ ","^2","atom","^3",["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.WORK.FE.ZS","SL.EMP.MPYR.MA.ZS","SL.EMP.TOTL.SP.MA.NE.ZS"]],"^51",["^ ","^2","atom","^3","Female share of employment in senior and middle management"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","The proportion of females in total employment in senior and middle management. It corresponds to major group 1 in both ISCO-08 and ISCO-88 minus category 14 in ISCO-08 (hospitality, retail and other services managers) and minus category 13 in ISCO-88 (general managers), since these comprise mainly managers of small enterprises."],"^50",["^ ","^2","atom","^3","International Labour Organization, ILOSTAT database. Data retrieved on January 29, 2021."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","10","^3","Social Protection & Labor"]]],"^58",["^ ","^2","atom","^3","percent"]],"^36",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","5.2"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","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.","^59","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.","^5:","Unweighted average","^5<","Annual","^4[","Firms with female top manager (% of firms)","^5?","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.","^4W","World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).","^4Y","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.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","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.","^4V","Private Sector & Trade: Business environment","^4Q","CC BY-4.0","^5B","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.","^5C","All surveys were administered using the Enterprise Surveys methodology as outlined in the Methodology page which can be found from www.enterprisesurveys.org.","^50","World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).","^51","Firms with female top manager","^52","Firms with female top manager (% of firms)"]],"^4[",["^ ","^2","atom","^3","Firms with female top manager (% of firms)"],"id",["^ ","^2","atom","^3","IC.FRM.FEMM.ZS"],"^53",["^ ","^2","atom","^3",[2020,["TN","IE","AM","ZT","ZA","T3","T2","XG","LU","FI","DK","T4","BE","SE","T5","T7","NL","EG","T6"]]],"^54",["^ ","^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"]],"^51",["^ ","^2","atom","^3","Firms with female top manager"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^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."],"^50",["^ ","^2","atom","^3","World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/)."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://www.enterprisesurveys.org/"],"^57",["^ ","^2","atom","^3",[["^ ","id","12","^3","Private Sector"],["^ ","id","17","^3","Gender"]]],"^58",["^ ","^2","atom","^3","percent"]],"^37",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Health: Disease prevention","^59","Data on drinking water, sanitation and hygiene are produced by the Joint Monitoring Programme of the World Health Organization (WHO) and United Nations Children's Fund (UNICEF) based on administrative sources, national censuses and nationally representative household surveys. WHO/UNICEF defines basic sanitation facilities as improved sanitation facilities that are not shared with other households. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs.","^5:","Weighted average","^5<","Annual","^5?","Sanitation is fundamental to human development. Many international organizations use hygienic sanitation facilities as a measure for progress in the fight against poverty, disease, and death. Access to proper sanitation is also considered to be a human right, not a privilege, for every man, woman, and child. \n\nSanitation generally refers to the provision of facilities and services for the safe disposal of human urine and feces. Inadequate sanitation is a major cause of disease world-wide and improving sanitation is known to have a significant beneficial impact on people's health. Basic and safely managed sanitation services can reduce diarrheal disease, and can significantly lessen the adverse health impacts of other disorders responsible for death and disease among millions of children. Diarrhea and worm infections weaken children and make them more susceptible to malnutrition and opportunistic infections like pneumonia, measles and malaria. \n\nThe combined effects of inadequate sanitation, unsafe water supply and poor personal hygiene are responsible for many of childhood deaths. Every year, the failure to tackle these deficits results in severe welfare losses - wasted time, reduced productivity, ill health, impaired learning, environmental degradation and lost opportunities. Fundamental behavior changes are required before the use of improved facilities and services can be integrated into daily life. Many hygiene behaviors and habits are formed in childhood and, therefore, school health and hygiene education programs are an important part of water and sanitation improvements. \n\nMost basic sanitation technologies are not expensive to implement. However, those facing the problems of inadequate sanitation may not be aware of either the origin of their ills, or the true costs of poor sanitation and hygiene. As a result, in most of the developing countries those without sanitation are hard to convince of the need to invest scarce resources in sanitation facilities, or of the critical importance of changing long-held habits and unhygienic behaviors. Consequently, the people's representatives - governments and elected political leaders - rarely give sanitation or hygiene improvements the priority that is needed in order to tackle the massive sanitation deficit faced by the developing world. \n\nChildren bear the brunt of sanitation-related impacts - their health, nutrition, growth, education, self-respect, and life opportunities suffer as a result of inadequate sanitation. Without improved sanitation, many of the current generation of children in developing countries are unlikely to develop to their full potential. Countries that don't take urgent action to redress sanitation deficiencies will find their future development and prosperity impaired.","^4W","WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).","^4Y","The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households. This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households. This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs.","^4Q","CC BY-4.0","^5B","National, regional and income group estimates are made when data are available for at least 50 percent of the population.","^4[","People using at least basic sanitation services (% of population)","^50","WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).","^51","People using at least basic sanitation services","^52","People using at least basic sanitation services (% of population)"]],"^4[",["^ ","^2","atom","^3","People using at least basic sanitation services (% of population)"],"id",["^ ","^2","atom","^3","SH.STA.BASS.ZS"],"^53",["^ ","^2","atom","^3",[2020,["BI","BJ","VI","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","MF","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","BY","TR","US","IE","UA","MW","JP","AM","ZT","MC","SY","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","VN","PE","NA","ML","SS","PS","MV","AS","IN","LS","DJ","LV","TM","SM","IQ","PW","SC","ZA","LY","T3","BO","HN","GM","ZM","MT","CL","KP","YE","PL","CD","T2","JO","SK","NO","ZW","XG","NI","PR","SV","SZ","SL","AO","LU","GT","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","NZ","BF","BG","SA","BE","UY","MX","DO","MN","GH","CA","IR","BZ","NG","CM","MM","LI","SD","WS","AT","SB","SE","KH","PA","LR","AD","MP","MD","LT","T5","JM","GL","PG","VU","AE","SN","CU","TJ","LC","KE","MG","BM","GA","GI","KG","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","QA","BT","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["SH.STA.BASS.UR.ZS","SH.STA.BASS.RU.ZS","SH.STA.AIRP.MA.P5","SH.STA.MMRT","SH.STA.STNT.MA.ZS","SH.STA.BRTC.ZS","SH.STA.WAST.MA.ZS","SH.STA.WASH.P5","SH.STA.SUIC.FE.P5"]],"^51",["^ ","^2","atom","^3","People using at least basic sanitation services"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households. This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs."],"^50",["^ ","^2","atom","^3","WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org)."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "],["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","percent"]],"^38",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",2],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Environment: Freshwater","^59","Proportion of total renewable water resources withdrawn is the total volume of groundwater and surface water withdrawn from their sources for human use (in the agricultural, municipal and industrial sectors), expressed as a percentage of the total actual renewable water resources. The terms water resources and water withdrawal are understood as freshwater resources and freshwater withdrawal. Water withdrawal is estimated for the following three main sectors: agriculture, municipalities (including domestic water withdrawal) and industries, at country level and expressed in km3/year. The total actual renewable water resources for a country or region are defined as the sum of internal renewable water resources and the external renewable water resources, also expressed in km3/year. The indicator is computed by dividing total water withdrawal by total actual renewable water resources minus environmental requirements and expressed in percentage points.\n\nTotal freshwater withdrawal is the volume of freshwater extracted from its source (rivers, lakes, aquifers) for agriculture, industries and municipalities. It is estimated at the country level for the following three main sectors: agriculture, municipalities (including domestic water withdrawal) and industries. Freshwater withdrawal includes primary freshwater (not withdrawn before), secondary freshwater (previously withdrawn and returned to rivers and groundwater, such as discharged wastewater and agricultural drainage water) and fossil groundwater. It does not include non-conventional water, i.e. direct use of treated wastewater, direct use of agricultural drainage water and desalinated water. Total freshwater withdrawal is in general calculated as being the sum of total water withdrawal by sector minus direct use of wastewater, direct use of agricultural drainage water and use of desalinated water.\n\nTotal renewable freshwater resources are expressed as the sum of internal and external renewable water resources. The terms “water resources” and “water withdrawal” are understood here as freshwater resources and freshwater withdrawal. Internal renewable water resources are defined as the long-term average annual flow of rivers and recharge of groundwater for a given country generated from endogenous precipitation. External renewable water resources refer to the flows of water entering the country, taking into consideration the quantity of flows reserved to upstream and downstream countries through agreements or treaties.\n\nEnvironmental water requirements (Env.) are the quantities of water required to sustain freshwater and estuarine ecosystems. Water quality and also the resulting ecosystem services are excluded from this formulation which is confined to water volumes. This does not imply that quality and the support to societies which are dependent on environmental flows are not important and should not be taken care of. Methods of computation of Env. are extremely variable and range from global estimates to comprehensive assessments for river reaches. Water volumes can be expressed in the same units as the total freshwater withdrawal, and then as percentages of the available water resources.","^5<","Annual","^5?","The level of water stress can show the degree to which water resources are being exploited to meet the country's water demand. It measures a country's pressure on its water resources and therefore the challenge on the sustainability of its water use. It tracks progress in regard to “withdrawals and supply of freshwater to address water scarcity”, i.e. the environmental component of target 6.4. It also shows to what extent water resources are already used, and signals the importance of effective supply and demand management policies. It indicates the likelihood of increasing competition and conflict between different water uses and users in a situation of increasing water scarcity. Increased water stress, shown by an increase in the value of the indicator, has potentially negative effects on the sustainability of the natural resources and on economic development. On the other hand, low values of water stress indicate that water does not represent a particular challenge for economic development and sustainability.","^4W","Food and Agriculture Organization, AQUASTAT data.","^4Y","The level of water stress: freshwater withdrawal as a proportion of available freshwater resources is the ratio between total freshwater withdrawn by all major sectors and total renewable freshwater resources, after taking into account environmental water requirements. Main sectors, as defined by ISIC standards, include agriculture; forestry and fishing; manufacturing; electricity industry; and services. This indicator is also known as water withdrawal intensity.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","The level of water stress: freshwater withdrawal as a proportion of available freshwater resources is the ratio between total freshwater withdrawn by all major sectors and total renewable freshwater resources, after taking into account environmental water requirements. Main sectors, as defined by ISIC standards, include agriculture; forestry and fishing; manufacturing; electricity industry; and services. This indicator is also known as water withdrawal intensity.","^4Q","CC BY-4.0","^5B","Water withdrawal as a percentage of water resources is a good indicator of pressure on limited water resources, one of the most important natural resources. However, it only partially addresses the issues related to sustainable water management. Supplementary indicators that capture the multiple dimensions of water management would combine data on water demand management, behavioural changes with regard to water use and the availability of appropriate infrastructure, and measure progress in increasing the efficiency and sustainability of water use, in particular in relation to population and economic growth. They would also recognize the different climatic environments that affect water use in countries, in particular in agriculture, which is the main user of water. Sustainability assessment is also linked to the critical thresholds fixed for this indicator and there is no universal consensus on such threshold.\n\nTrends in water withdrawal show relatively slow patterns of change. Usually, three-five years are a minimum frequency to be able to detect significant changes, as it is unlikely that the indicator would show meaningful variations from one year to the other. Estimation of water withdrawal by sector is the main limitation to the computation of the indicator. Few countries actually publish water use data on a regular basis by sector. Renewable water resources include all surface water and groundwater resources that are available on a yearly basis without consideration of the capacity to harvest and use this resource. Exploitable water resources, which refer to the volume of surface water or groundwater that is available with an occurrence of 90% of the time, are considerably less than renewable water resources, but no universal method exists to assess such exploitable water resources. There is no universally agreed method for the computation of incoming freshwater flows originating outside of a country's borders. Nor is there any standard method to account for return flows, the part of the water withdrawn from its source and which flows back to the river system after use. In countries where return flow represents a substantial part of water withdrawal, the indicator tends to underestimate available water and therefore overestimate the level of water stress.\n\nOther limitations that affect the interpretation of the water stress indicator include: difficulty to obtain accurate, complete and up-to-date data; potentially large variation of sub-national data; lack of account of seasonal variations in water resources; lack of consideration to the distribution among water uses; lack of consideration of water quality and its suitability for use; and the indicator can be higher than 100 per cent when water withdrawal includes secondary freshwater (water withdrawn previously and returned to the system), non-renewable water (fossil groundwater), when annual groundwater withdrawal is higher than annual replenishment (over-abstraction) or when water withdrawal includes part or all of the water set aside for environmental water requirements. Some of these issues can be solved through disaggregation of the index at the level of hydrological units and by distinguishing between different use sectors. However, due to the complexity of water flows, both within a country and between countries, care should be taken not to double-count.","^4[","Level of water stress: freshwater withdrawal as a proportion of available freshwater resources","^50","Food and Agriculture Organization, AQUASTAT data.","^51","Level of water stress: freshwater withdrawal as a proportion of available freshwater resources","^52","Level of water stress: freshwater withdrawal as a proportion of available freshwater resources"]],"^4[",["^ ","^2","atom","^3","Level of water stress: freshwater withdrawal as a proportion of available freshwater resources"],"id",["^ ","^2","atom","^3","ER.H2O.FWST.ZS"],"^53",["^ ","^2","atom","^3",[2018,["MU","BI","BJ","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","BW","EC","RO","GR","BB","PK","ST","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","SY","SO","IT","AL","HT","CG","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","VN","PE","NA","ML","SS","PS","KM","MV","IN","LS","DJ","LV","TM","IQ","ER","ZA","LY","BO","HN","GM","ZM","MT","CL","KP","YE","PL","CD","JO","SK","NO","ZW","KN","NI","PR","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","TZ","FI","DK","PY","CH","RW","FJ","KZ","KW","VE","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","AT","SE","KH","PA","LR","MD","LT","JM","PG","AE","SN","CU","BA","TJ","LC","VC","KE","MG","GA","KG","AU","DZ","UZ","UG","SG","IS","RS","SI","GY","CI","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","QA","GD","BT","PH","BH","NE"]]],"^54",["^ ","^2","atom","^3",["ER.H2O.FWIN.ZS","ER.H2O.INTR.PC","ER.H2O.FWAG.ZS","ER.H2O.FWTL.ZS","ER.H2O.FWTL.K3","ER.H2O.INTR.K3","ER.H2O.FWDM.ZS","ER.LND.PTLD.ZS","ER.GDP.FWTL.M3.KD"]],"^51",["^ ","^2","atom","^3","Level of water stress: freshwater withdrawal as a proportion of available freshwater resources"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","The level of water stress: freshwater withdrawal as a proportion of available freshwater resources is the ratio between total freshwater withdrawn by all major sectors and total renewable freshwater resources, after taking into account environmental water requirements. Main sectors, as defined by ISIC standards, include agriculture; forestry and fishing; manufacturing; electricity industry; and services. This indicator is also known as water withdrawal intensity."],"^50",["^ ","^2","atom","^3","Food and Agriculture Organization, AQUASTAT data."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^39",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","2.13"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Aggregate data by groups are computed based on the groupings for the World Bank fiscal year in which the data was released by the WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene.\n\nThis is the Sustainable Development Goal indicator 6.1.1 [https://unstats.un.org/sdgs/metadata/].","^59","Data on drinking water, sanitation and hygiene are produced by the Joint Monitoring Programme of the World Health Organization (WHO) and United Nations Children's Fund (UNICEF) based on administrative sources, national censuses and nationally representative household surveys. WHO/UNICEF defines a safely managed drinking water as an improved water source that is accessible on premises, available when needed and free from faecal and priority chemical contamination. Improved water sources include: piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.","^5:","Weighted average","^5<","Annual","^5?","Water is considered to be the most important resource for sustaining ecosystems, which provide life-supporting services for people, animals, and plants. Global access to safe water and proper hygiene education can reduce illness and death from disease, leading to improved health, poverty reduction, and socio-economic development. However, many countries are challenged to provide these basic necessities to their populations, leaving people at risk for water, sanitation, and hygiene (WASH)-related diseases. Because contaminated water is a major cause of illness and death, water quality is a determining factor in human poverty, education, and economic opportunities. \n\nLack of access to adequate drinking water services contributes to deaths and illness, especially in children. Water based disease transmission by drinking contaminated water is responsible for significant outbreaks of diseases such as cholera and typhoid and includes diarrheal diseases, viral hepatitis A, cholera, dysentery and dracunculiasis (Guineaworm disease). Improving access to clean drinking water is a crucial element in the reduction of under-five mortality and morbidity and there is evidence that ensuring higher levels of drinking water services has a greater impact. \n\nWomen and children spend millions of hours each year fetching water. The chore diverts their time from other important activities (for example attending school, caring for children, participating in the economy). When water is not available on premises and has to be collected, women and girls are almost two and a half times more likely than men and boys to be the main water carriers for their families. \n\nMany international organizations use access to safe drinking water and hygienic sanitation facilities as a measure for progress in the fight against poverty, disease, and death. Access to safe drinking water is also considered to be a human right, not a privilege, for every man, woman, and child. Economic benefits of safe drinking water services include higher economic productivity, more education, and health-care savings.","^4W","WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).","^4Y","The percentage of people using drinking water from an improved source that is accessible on premises, available when needed and free from faecal and priority chemical contamination. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","The percentage of people using drinking water from an improved source that is accessible on premises, available when needed and free from faecal and priority chemical contamination. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.","^4V","Health: Disease prevention","^4Q","CC BY-4.0","^5B","In order to meet the criteria for a safely managed drinking water service, an improved water source should meet three criteria: it should be accessible on the premises (accessibility), water should be available when needed (availability), and the water supplied should be free from contamination (quality). Many countries lack data on one or more elements of safely managed drinking water. The WHO/UNICEF Joint Monitoring Programme for Water Supply, Sanitation and Hygiene (JMP) provide national estimates only when data are available on drinking water quality and at least one of the other criteria (accessibility and availability). Regional and income group estimates are made when data are available for at least 30 percent of the population.","^51","People using safely managed drinking water services","^50","WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).","^4[","People using safely managed drinking water services (% of population)","^52","People using safely managed drinking water services (% of population)"]],"^4[",["^ ","^2","atom","^3","People using safely managed drinking water services (% of population)"],"id",["^ ","^2","atom","^3","SH.H2O.SMDW.ZS"],"^53",["^ ","^2","atom","^3",[2020,["VI","LB","MA","LA","DE","GE","TN","BR","MF","ME","EC","RO","GR","PK","NC","ST","BD","SR","ES","PF","GW","TG","BY","US","IE","UA","JP","AM","MC","IT","AL","CG","KI","MK","PT","AF","FR","CF","CR","IL","CO","PE","PS","AS","LS","LV","TM","SM","IQ","PW","GM","MT","CL","KP","PL","CD","T2","JO","SK","NO","ZW","XG","NI","PR","IM","SL","LU","GT","AZ","CY","CZ","ET","EE","RU","FI","DK","PY","CH","RW","KZ","TO","KW","NZ","BG","BE","MX","MN","GH","CA","IR","NG","MM","LI","MY","WS","AT","SE","KH","AD","MP","MD","LT","GL","BA","TJ","MG","GI","KG","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","CI","MO","NL","HU","OM","GB","NP","KR","TD","GU","QA","BT","PH","BH"]]],"^54",["^ ","^2","atom","^3",["SH.H2O.SMDW.RU.ZS","SH.H2O.SMDW.UR.ZS","SH.H2O.BASW.ZS","SH.H2O.BASW.RU.ZS","SH.H2O.BASW.UR.ZS","SH.MMR.DTHS","SH.STA.AIRP.MA.P5","SH.ALC.PCAP.FE.LI","SH.SVR.WAST.ZS"]],"^51",["^ ","^2","atom","^3","People using safely managed drinking water services"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","The percentage of people using drinking water from an improved source that is accessible on premises, available when needed and free from faecal and priority chemical contamination. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water."],"^50",["^ ","^2","atom","^3","WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org)."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "],["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","percent"]],"^3:",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","3.13"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^59","Data for access to electricity are collected among different sources: mostly data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Given the low frequency and the regional distribution of some surveys, a number of countries have gaps in available data. To develop the historical evolution and starting point of electrification rates, a simple modeling approach was adopted to fill in the missing data points - around 1990, around 2000, and around 2010. Therefore, a country can have a continuum of zero to three data points. There are 42 countries with zero data point and the weighted regional average was used as an estimate for electrification in each of the data periods. 170 countries have between one and three data points and missing data are estimated by using a model with region, country, and time variables. The model keeps the original observation if data is available for any of the time periods. This modeling approach allowed the estimation of electrification rates for 212 countries over these three time periods (Indicated as \"Estimate\"). Notation \"Assumption\" refers to the assumption of universal access in countries classified as developed by the United Nations. Data begins from the year in which the first survey data is available for each country.","^5:","Weighted average","^5<","Annual","^4V","Environment: Energy production & use","^4W","World Bank Global Electrification Database from \"Tracking SDG 7: The Energy Progress Report\" led jointly by the custodian agencies: the International Energy Agency (IEA), the International Renewable Energy Agency (IRENA), the United Nations Statistics Division (UNSD), the World Bank and the World Health Organization (WHO).","^4Y","Access to electricity, rural is the percentage of rural population with access to electricity.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Access to electricity, rural is the percentage of rural population with access to electricity.","^4Q","CC BY-4.0","^4[","Access to electricity, rural (% of rural population)","^50","World Bank Global Electrification Database from \"Tracking SDG 7: The Energy Progress Report\" led jointly by the custodian agencies: the International Energy Agency (IEA), the International Renewable Energy Agency (IRENA), the United Nations Statistics Division (UNSD), the World Bank and the World Health Organization (WHO).","^51","Access to electricity, rural","^52","Access to electricity, rural (% of rural population)"]],"^4[",["^ ","^2","atom","^3","Access to electricity, rural (% of rural population)"],"id",["^ ","^2","atom","^3","EG.ELC.ACCS.RU.ZS"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","VI","LB","MA","TL","LA","DE","ID","GE","TN","AW","BR","MF","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","SX","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","MC","SY","SO","IT","AL","HT","CG","KI","MK","JG","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","IN","LS","DJ","LV","TM","SM","IQ","ER","PW","KY","SC","ZA","T3","BO","FO","HN","GM","ZM","MT","CL","KP","YE","PL","TC","CD","T2","JO","SK","NO","ZW","XG","KN","NI","PR","SV","IM","SZ","AG","SL","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BG","SA","BE","UY","MX","DO","MN","GH","AR","CA","IR","BZ","NG","CM","MM","LI","SD","MY","WS","VG","AT","SB","SE","KH","PA","LR","AD","MP","MD","LT","T5","JM","GL","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","BM","GA","GI","KG","NR","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","GU","QA","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["EG.ELC.ACCS.UR.ZS","EG.ELC.ACCS.ZS","EG.ELC.PETR.ZS","EG.ELC.RNWX.KH","EG.ELC.NUCL.ZS","EG.ELC.LOSS.ZS","EG.ELC.FOSL.ZS","EG.ELC.COAL.ZS","EG.ELC.HYRO.ZS"]],"^51",["^ ","^2","atom","^3","Access to electricity, rural"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Access to electricity, rural is the percentage of rural population with access to electricity."],"^50",["^ ","^2","atom","^3","World Bank Global Electrification Database from \"Tracking SDG 7: The Energy Progress Report\" led jointly by the custodian agencies: the International Energy Agency (IEA), the International Renewable Energy Agency (IRENA), the United Nations Statistics Division (UNSD), the World Bank and the World Health Organization (WHO)."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","1","^3","Agriculture & Rural Development "],["^ ","id","5","^3","Energy & Mining "]]],"^58",["^ ","^2","atom","^3","percent"]],"^3;",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","3.13"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^59","Data for access to electricity are collected among different sources: mostly data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Given the low frequency and the regional distribution of some surveys, a number of countries have gaps in available data. To develop the historical evolution and starting point of electrification rates, a simple modeling approach was adopted to fill in the missing data points - around 1990, around 2000, and around 2010. Therefore, a country can have a continuum of zero to three data points. There are 42 countries with zero data point and the weighted regional average was used as an estimate for electrification in each of the data periods. 170 countries have between one and three data points and missing data are estimated by using a model with region, country, and time variables. The model keeps the original observation if data is available for any of the time periods. This modeling approach allowed the estimation of electrification rates for 212 countries over these three time periods (Indicated as \"Estimate\"). Notation \"Assumption\" refers to the assumption of universal access in countries classified as developed by the United Nations. Data begins from the year in which the first survey data is available for each country.","^5:","Weighted average","^5<","Annual","^4V","Environment: Energy production & use","^4W","World Bank Global Electrification Database from \"Tracking SDG 7: The Energy Progress Report\" led jointly by the custodian agencies: the International Energy Agency (IEA), the International Renewable Energy Agency (IRENA), the United Nations Statistics Division (UNSD), the World Bank and the World Health Organization (WHO).","^4Y","Access to electricity, urban is the percentage of urban population with access to electricity.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Access to electricity, urban is the percentage of urban population with access to electricity.","^4Q","CC BY-4.0","^4[","Access to electricity, urban (% of urban population)","^50","World Bank Global Electrification Database from \"Tracking SDG 7: The Energy Progress Report\" led jointly by the custodian agencies: the International Energy Agency (IEA), the International Renewable Energy Agency (IRENA), the United Nations Statistics Division (UNSD), the World Bank and the World Health Organization (WHO).","^51","Access to electricity, urban","^52","Access to electricity, urban (% of urban population)"]],"^4[",["^ ","^2","atom","^3","Access to electricity, urban (% of urban population)"],"id",["^ ","^2","atom","^3","EG.ELC.ACCS.UR.ZS"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","VI","LB","MA","TL","LA","MR","DE","ID","GE","TN","AW","BR","MF","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","SX","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","MC","SY","SO","IT","AL","HT","CG","KI","MK","JG","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","IN","LS","DJ","LV","TM","SM","IQ","ER","PW","KY","SC","ZA","LY","T3","BO","FO","HN","GM","ZM","MT","CL","KP","YE","PL","TC","CD","T2","JO","SK","NO","ZW","XG","KN","NI","PR","SV","IM","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","GH","AR","CA","IR","BZ","NG","CM","MM","LI","SD","MY","WS","VG","AT","SB","SE","KH","PA","LR","AD","MP","MD","LT","T5","JM","GL","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","BM","GA","GI","KG","NR","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","GU","QA","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["EG.ELC.ACCS.RU.ZS","EG.ELC.ACCS.ZS","EG.ELC.PETR.ZS","EG.ELC.RNWX.KH","EG.ELC.NUCL.ZS","EG.ELC.LOSS.ZS","EG.ELC.FOSL.ZS","EG.ELC.COAL.ZS","EG.ELC.HYRO.ZS"]],"^51",["^ ","^2","atom","^3","Access to electricity, urban"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Access to electricity, urban is the percentage of urban population with access to electricity."],"^50",["^ ","^2","atom","^3","World Bank Global Electrification Database from \"Tracking SDG 7: The Energy Progress Report\" led jointly by the custodian agencies: the International Energy Agency (IEA), the International Renewable Energy Agency (IRENA), the United Nations Statistics Division (UNSD), the World Bank and the World Health Organization (WHO)."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","5","^3","Energy & Mining "],["^ ","id","16","^3","Urban Development "]]],"^58",["^ ","^2","atom","^3","percent"]],"^3<",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","WV.1"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^59","For more information, see the metadata for constant U.S. dollar GDP (NY.GDP.MKTP.KD) and total population (SP.POP.TOTL).","^5:","Weighted average","^5<","Annual","^4V","Economic Policy & Debt: National accounts: Growth rates","^4W","World Bank national accounts data, and OECD National Accounts data files.","^4Y","Annual percentage growth rate of GDP per capita based on constant local currency. GDP per capita is gross domestic product divided by midyear population. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Annual percentage growth rate of GDP per capita based on constant local currency. GDP per capita is gross domestic product divided by midyear population. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.","^4Q","CC BY-4.0","^4[","GDP per capita growth (annual %)","^50","World Bank national accounts data, and OECD National Accounts data files.","^51","GDP per capita growth","^52","GDP per capita growth (annual %)"]],"^4[",["^ ","^2","atom","^3","GDP per capita growth (annual %)"],"id",["^ ","^2","atom","^3","NY.GDP.PCAP.KD.ZG"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","LB","MA","XK","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","ST","BD","SR","ES","PF","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","MC","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","PS","KM","MV","AS","IN","LS","DJ","LV","IQ","PW","KY","SC","ZA","LY","T3","BO","HN","GM","ZM","MT","CL","PL","TC","CD","T2","JO","SK","NO","ZW","XG","KN","NI","PR","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","AD","MD","LT","T5","JM","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","BM","GA","KG","NR","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","GU","QA","GD","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["NY.GDP.PCAP.KD","NY.GDP.PCAP.KN","NY.GDP.PCAP.PP.CD","NY.GDP.PCAP.CN","NY.GDP.PCAP.PP.KD","NY.GDP.PCAP.CD","NY.GDP.DEFL.KD.ZG","NY.GDP.PETR.RT.ZS","NY.GDP.COAL.RT.ZS"]],"^51",["^ ","^2","atom","^3","GDP per capita growth"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Annual percentage growth rate of GDP per capita based on constant local currency. GDP per capita is gross domestic product divided by midyear population. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources."],"^50",["^ ","^2","atom","^3","World Bank national accounts data, and OECD National Accounts data files."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","3","^3","Economy & Growth"]]],"^58",["^ ","^2","atom","^3","percent"]],"^3=",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",2],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).","^5:","Weighted average","^5<","Annual","^4V","Financial Sector: Access","^4W","Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank.","^4Y","Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (% age 15+).","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (% age 15+).","^4Q","CC BY-4.0","^4[","Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)","^50","Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank.","^51","Account ownership at a financial institution or with a mobile-money-service provider","^52","Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)"]],"^4[",["^ ","^2","atom","^3","Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+)"],"id",["^ ","^2","atom","^3","FX.OWN.TOTL.ZS"],"^53",["^ ","^2","atom","^3",[2017,["MU","BJ","LB","MA","XK","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","PK","BD","ES","TG","BY","TR","US","IE","UA","MW","JP","AM","IT","AL","HT","CG","MK","PT","AF","FR","CF","CR","GN","IL","CO","VN","PE","NA","ML","SS","PS","IN","LS","LV","TM","IQ","ZA","LY","BO","HN","ZM","MT","CL","PL","CD","JO","SK","NO","ZW","NI","SV","SL","LU","GT","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","TZ","FI","DK","PY","CH","RW","KZ","KW","VE","NZ","BF","BG","SA","BE","UY","MX","DO","MN","GH","AR","CA","IR","NG","CM","MM","MY","AT","SE","KH","PA","LR","MD","LT","AE","SN","BA","TJ","KE","MG","GA","KG","AU","DZ","UZ","UG","SG","HK","RS","SI","CI","NL","HU","GB","EG","TH","LK","MZ","NP","KR","TD","PH","BH","NE"]]],"^54",["^ ","^2","atom","^3",["FX.OWN.TOTL.60.ZS","FX.OWN.TOTL.40.ZS","FX.OWN.TOTL.MA.ZS","FX.OWN.TOTL.OL.ZS","FX.OWN.TOTL.PL.ZS","FX.OWN.TOTL.YG.ZS","FX.OWN.TOTL.FE.ZS","FX.OWN.TOTL.SO.ZS","FB.AST.NPER.ZS"]],"^51",["^ ","^2","atom","^3","Account ownership at a financial institution or with a mobile-money-service provider"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (% age 15+)."],"^50",["^ ","^2","atom","^3","Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","7","^3","Financial Sector "]]],"^58",["^ ","^2","atom","^3","percent"]],"^3>",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","4.2"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Note: Data for OECD countries are based on ISIC, revision 4.","^59","Gross domestic product (GDP) represents the sum of value added by all its producers. Value added is the value of the gross output of producers less the value of intermediate goods and services consumed in production, before accounting for consumption of fixed capital in production. The United Nations System of National Accounts calls for value added to be valued at either basic prices (excluding net taxes on products) or producer prices (including net taxes on products paid by producers but excluding sales or value added taxes). Both valuations exclude transport charges that are invoiced separately by producers. Total GDP is measured at purchaser prices. Value added by industry is normally measured at basic prices.","^5:","Weighted average","^5<","Annual","^4V","Economic Policy & Debt: National accounts: Shares of GDP & other","^4W","World Bank national accounts data, and OECD National Accounts data files.","^4Y","Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Note: For VAB countries, gross value added at factor cost is used as the denominator.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Note: For VAB countries, gross value added at factor cost is used as the denominator.","^4Q","CC BY-4.0","^5B","Ideally, industrial output should be measured through regular censuses and surveys of firms. But in most developing countries such surveys are infrequent, so earlier survey results must be extrapolated using an appropriate indicator. The choice of sampling unit, which may be the enterprise (where responses may be based on financial records) or the establishment (where production units may be recorded separately), also affects the quality of the data. Moreover, much industrial production is organized in unincorporated or owner-operated ventures that are not captured by surveys aimed at the formal sector. Even in large industries, where regular surveys are more likely, evasion of excise and other taxes and nondisclosure of income lower the estimates of value added. Such problems become more acute as countries move from state control of industry to private enterprise, because new firms and growing numbers of established firms fail to report. In accordance with the System of National Accounts, output should include all such unreported activity as well as the value of illegal activities and other unrecorded, informal, or small-scale operations. Data on these activities need to be collected using techniques other than conventional surveys of firms.","^4[","Manufacturing, value added (% of GDP)","^50","World Bank national accounts data, and OECD National Accounts data files.","^51","Manufacturing, value added","^52","Manufacturing, value added (% of GDP)"]],"^4[",["^ ","^2","atom","^3","Manufacturing, value added (% of GDP)"],"id",["^ ","^2","atom","^3","NV.IND.MANF.ZS"],"^53",["^ ","^2","atom","^3",[2020,["MU","BJ","LB","MA","XK","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","PK","ST","BD","SR","ES","TG","BY","TR","IE","UA","BN","AM","ZT","IT","AL","HT","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","MV","IN","LS","LV","IQ","PW","SC","ZA","T3","BO","HN","GM","ZM","MT","CL","PL","TC","CD","T2","JO","SK","NO","ZW","XG","KN","NI","PR","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","FM","BF","SA","BE","UY","MX","DO","MN","DM","GH","AR","IR","BZ","NG","CM","MY","WS","AT","SE","KH","PA","MD","LT","T5","JM","AE","SN","CU","BA","LC","VC","KE","MG","GA","KG","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","QA","GD","BT","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["NV.IND.MANF.KN","NV.IND.MANF.KD","NV.IND.MANF.KD.ZG","NV.IND.MANF.CD","NV.IND.MANF.CN","NV.IND.TOTL.KD.ZG","NV.IND.TOTL.ZS","NV.IND.TOTL.KD","NV.IND.TOTL.KN"]],"^51",["^ ","^2","atom","^3","Manufacturing, value added"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Note: For VAB countries, gross value added at factor cost is used as the denominator."],"^50",["^ ","^2","atom","^3","World Bank national accounts data, and OECD National Accounts data files."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","3","^3","Economy & Growth"]]],"^58",["^ ","^2","atom","^3","percent"]],"^3?",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","5.13"],"^4T",["^ ","^2","atom","^3",2],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Infrastructure: Technology","^59","The gross domestic expenditure on R&D indicator consists of the total expenditure (current and capital) on R&D by all resident companies, research institutes, university and government laboratories, etc. It excludes R&D expenditures financed by domestic firms but performed abroad. \n\nThe OECD's Frascati Manual defines research and experimental development as \"creative work undertaken on a systemic basis in order to increase the stock of knowledge, including knowledge of man, culture and society, and the use of this stock of knowledge to devise new applications.\" R&D covers basic research, applied research, and experimental development.\n\n(1) Basic research - Basic research is experimental or theoretical work undertaken primarily to acquire new knowledge of the underlying foundation of phenomena and observable facts, without any particular application or use in view\n\n(2) Applied research - Applied research is also original investigation undertaken in order to acquire new knowledge; it is, however, directed primarily towards a specific practical aim or objective.\n\n(3) Experimental development - Experimental development is systematic work, drawing on existing knowledge gained from research and/or practical experience, which is directed to producing new materials, products or devices, to installing new processes, systems and services, or to improving substantially those already produced or installed.\n\nThe fields of science and technology used to classify R&D according to the Revised Fields of Science and Technology Classification are:\n1. Natural sciences;\n2. Engineering and technology;\n3. Medical and health sciences;\n4. Agricultural sciences;\n5. Social sciences;\n6. Humanities and the arts.\n\nThe data are obtained through statistical surveys which are regularly conducted at national level covering R&D performing entities in the private and public sectors.","^5:","Weighted average","^5<","Annual","^5?","Expenditure on research and development (R&D) is a key indicator of government and private sector efforts to obtain competitive advantage in science and technology.","^4W","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021.","^4Y","Gross domestic expenditures on research and development (R&D), expressed as a percent of GDP. They include both capital and current expenditures in the four main sectors: Business enterprise, Government, Higher education and Private non-profit. R&D covers basic research, applied research, and experimental development.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Gross domestic expenditures on research and development (R&D), expressed as a percent of GDP. They include both capital and current expenditures in the four main sectors: Business enterprise, Government, Higher education and Private non-profit. R&D covers basic research, applied research, and experimental development.","^4Q","CC BY-4.0","^5B","Estimates of the resources allocated to R&D are affected by national characteristics such as the periodicity and coverage of national R&D surveys across institutional sectors and industries; and the use of different sampling and estimation methods. R&D typically involves a few large performers, hence R&D surveys use various techniques to maintain up-to-date registers of known performers, while attempting to identify new or occasional performers. \n\nR&D totals from SNA accounts may differ from these estimates, due in part to the different treatments of software R&D in the totals.","^4[","Research and development expenditure (% of GDP)","^50","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021.","^51","Research and development expenditure","^52","Research and development expenditure (% of GDP)"]],"^4[",["^ ","^2","atom","^3","Research and development expenditure (% of GDP)"],"id",["^ ","^2","atom","^3","GB.XPD.RSDV.GD.ZS"],"^53",["^ ","^2","atom","^3",[2019,["CA","AT"]]],"^54",["^ ","^2","atom","^3",["GF.XPD.BUDG.ZS","GC.XPN.TOTL.GD.ZS","GC.TAX.TOTL.CN","GC.TAX.YPKG.CN","GC.REV.GOTR.ZS","GC.DOD.TOTL.GD.ZS","GC.XPN.TOTL.CN","GC.XPN.INTP.ZS","GC.REV.SOCL.ZS"]],"^51",["^ ","^2","atom","^3","Research and development expenditure"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Gross domestic expenditures on research and development (R&D), expressed as a percent of GDP. They include both capital and current expenditures in the four main sectors: Business enterprise, Government, Higher education and Private non-profit. R&D covers basic research, applied research, and experimental development."],"^50",["^ ","^2","atom","^3","UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2021."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://uis.unesco.org/"],"^57",["^ ","^2","atom","^3",[["^ ","id","14","^3","Science & Technology "]]],"^58",["^ ","^2","atom","^3","percent"]],"^3@",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","1.4"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","The comparability of welfare aggregates (consumption or income) for the chosen years T0 and T1 is assessed for every country. If comparability across the two surveys is a major concern for a country, the selection criteria are re-applied to select the next best survey year(s). Annualized growth rates are calculated between the survey years, using a compound growth formula. The survey years defining the period for which growth rates are calculated and the type of welfare aggregate used to calculate the growth rates are noted in the footnotes.","^5>","%","^5<","Annual","^5?","The World Bank Group's goal of promoting shared prosperity has been defined as fostering income growth of the bottom 40 per cent of the welfare distribution in every country.","^5@","The growth rate in the welfare aggregate of bottom 40% is computed as the annualized average growth rate in per capita real consumption or income of the bottom 40% of the income distribution in a country from household surveys over a roughly 5-year period.","^4V","Poverty: Shared prosperity","^4W","World Bank, Global Database of Shared Prosperity (GDSP) (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).","^4Y","The growth rate in the welfare aggregate of the bottom 40% is computed as the annualized average growth rate in per capita real consumption or income of the bottom 40% of the population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2011 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered.\n\nThe coverage and quality of the 2011 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2011 exercise of the International Comparison Program. See the Poverty and Inequality Platform for detailed explanations.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","The growth rate in the welfare aggregate of the bottom 40% is computed as the annualized average growth rate in per capita real consumption or income of the bottom 40% of the population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2011 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The coverage and quality of the 2011 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2011 exercise of the International Comparison Program. See the Poverty and Inequality Platform for detailed explanations.","^5A","World Bank, Poverty and Inequality Platform: https://pip.worldbank.org/","^4Q","CC BY-4.0","^5B","The coverage and quality of the 2011 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2011 exercise of the International Comparison Program. See the Poverty and Inequality Platform (http://www.pip.worldbank.org) for detailed explanations.\n\nBecause household surveys are infrequent in most countries and are not aligned across countries, comparisons across countries or over time should be made with a high degree of caution.","^51","Annualized average growth rate in per capita real survey mean consumption or income, bottom 40% of population","^50","World Bank, Global Database of Shared Prosperity (GDSP) (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).","^4[","Annualized average growth rate in per capita real survey mean consumption or income, bottom 40% of population (%)","^52","Annualized average growth rate in per capita real survey mean consumption or income, bottom 40% of population (%)"]],"^4[",["^ ","^2","atom","^3","Annualized average growth rate in per capita real survey mean consumption or income, bottom 40% of population (%)"],"id",["^ ","^2","atom","^3","SI.SPR.PC40.ZG"],"^53",["^ ","^2","atom","^3",[2020,["GE","EC","UA","CR","CO","PE","BO","CL","RU","PY","MX","AR","KG"]]],"^54",["^ ","^2","atom","^3",["SI.SPR.PCAP.ZG","SI.SPR.PC40.ZG","SI.SPR.PC40","SI.SPR.PCAP","SI.SPR.PCAP.ZG","SI.POV.NAHC","SI.POV.LMIC.GP","SI.POV.DDAY","SI.POV.MDIM"]],"^51",["^ ","^2","atom","^3","Annualized average growth rate in per capita real survey mean consumption or income, bottom 40% of population"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","The growth rate in the welfare aggregate of the bottom 40% is computed as the annualized average growth rate in per capita real consumption or income of the bottom 40% of the population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2011 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The coverage and quality of the 2011 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2011 exercise of the International Comparison Program. See the Poverty and Inequality Platform for detailed explanations."],"^50",["^ ","^2","atom","^3","World Bank, Global Database of Shared Prosperity (GDSP) (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity)."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity"],"^57",["^ ","^2","atom","^3",[["^ ","id","11","^3","Poverty "]]],"^58",["^ ","^2","atom","^3","percent"]],"^3A",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","1.4"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","The comparability of welfare aggregates (consumption or income) for the chosen years T0 and T1 is assessed for every country. If comparability across the two surveys is a major concern for a country, the selection criteria are re-applied to select the next best survey year(s). Annualized growth rates are calculated between the survey years, using a compound growth formula. The survey years defining the period for which growth rates are calculated and the type of welfare aggregate used to calculate the growth rates are noted in the footnotes.","^5>","%","^5<","Annual","^5?","The World Bank Group's goal of promoting shared prosperity has been defined as fostering income growth of the bottom 40 per cent of the welfare distribution in every country.","^5@","The growth rate in the welfare aggregate of total population is computed as annualized average growth rate in per capita real consumption or income of total population from household surveys over a roughly 5-year period.","^4V","Poverty: Shared prosperity","^4W","World Bank, Global Database of Shared Prosperity (GDSP) (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).","^4Y","The growth rate in the welfare aggregate of the total population is computed as the annualized average growth rate in per capita real consumption or income of the total population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2011 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. \n\nThe coverage and quality of the 2011 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2011 exercise of the International Comparison Program. See the Poverty and Inequality Platform for detailed explanations.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","The growth rate in the welfare aggregate of the total population is computed as the annualized average growth rate in per capita real consumption or income of the total population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2011 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The coverage and quality of the 2011 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2011 exercise of the International Comparison Program. See the Poverty and Inequality Platform for detailed explanations.","^5A","World Bank, Poverty and Inequality Platform: https://pip.worldbank.org/","^4Q","CC BY-4.0","^5B","The coverage and quality of the 2011 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2011 exercise of the International Comparison Program. See the Poverty and Inequality Platform (http://www.pip.worldbank.org) for detailed explanations.\n\nBecause household surveys are infrequent in most countries and are not aligned across countries, comparisons across countries or over time should be made with a high degree of caution.","^51","Annualized average growth rate in per capita real survey mean consumption or income, total population","^50","World Bank, Global Database of Shared Prosperity (GDSP) (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).","^4[","Annualized average growth rate in per capita real survey mean consumption or income, total population (%)","^52","Annualized average growth rate in per capita real survey mean consumption or income, total population (%)"]],"^4[",["^ ","^2","atom","^3","Annualized average growth rate in per capita real survey mean consumption or income, total population (%)"],"id",["^ ","^2","atom","^3","SI.SPR.PCAP.ZG"],"^53",["^ ","^2","atom","^3",[2020,["GE","EC","UA","CR","CO","PE","BO","CL","RU","PY","MX","AR","KG"]]],"^54",["^ ","^2","atom","^3",["SI.SPR.PCAP.ZG","SI.SPR.PC40.ZG","SI.SPR.PCAP","SI.SPR.PC40.ZG","SI.SPR.PC40","SI.POV.NAHC","SI.POV.LMIC.GP","SI.POV.DDAY","SI.POV.MDIM"]],"^51",["^ ","^2","atom","^3","Annualized average growth rate in per capita real survey mean consumption or income, total population"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","The growth rate in the welfare aggregate of the total population is computed as the annualized average growth rate in per capita real consumption or income of the total population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2011 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The coverage and quality of the 2011 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2011 exercise of the International Comparison Program. See the Poverty and Inequality Platform for detailed explanations."],"^50",["^ ","^2","atom","^3","World Bank, Global Database of Shared Prosperity (GDSP) (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity)."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity"],"^57",["^ ","^2","atom","^3",[["^ ","id","11","^3","Poverty "]]],"^58",["^ ","^2","atom","^3","percent"]],"^3B",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from around 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).","^5>","%","^59","Inequality in the distribution of income is reflected in the share of income or consumption accruing to a portion of the population ranked by income or consumption levels. The portions ranked lowest by personal income receive the smallest shares of total income.\n\nData on the distribution of income or consumption come from nationally representative household surveys. Where the original data from the household survey were available, they have been used to directly calculate the income or consumption shares by quintile. Otherwise, shares have been estimated from the best available grouped data.\n\nThe distribution data have been adjusted for household size, providing a more consistent measure of per capita income or consumption. \n\nThe year reflects the year in which the underlying household survey data were collected or, when the data collection period bridged two calendar years, the year data collection started.\n\nPercentage shares by quintile may not sum to 100 because of rounding.","^5<","Annual","^5?","The World Bank Group's goal of promoting shared prosperity has been defined as fostering income growth of the bottom 40 per cent of the welfare distribution in every country. Income distribution measures are important background indicators for shared prosperity. The share living below half the median income is Sustainable Development Goal indicator 10.2.1.","^5@","The percentage of people in the population who live in households whose per capita income or consumption is below half of the median income or consumption per capita.","^4V","Poverty: Income distribution","^4W","World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.","^4Y","The percentage of people in the population who live in households whose per capita income or consumption is below half of the median income or consumption per capita. The median is measured at 2011 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries, medians are not reported due to grouped and/or confidential data. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","The percentage of people in the population who live in households whose per capita income or consumption is below half of the median income or consumption per capita. The median is measured at 2011 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries, medians are not reported due to grouped and/or confidential data. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported.","^5A","World Bank, Poverty and Inequality Platform: https://pip.worldbank.org/","^4Q","CC BY-4.0","^5B","Despite progress in the last decade, the challenges of measuring poverty remain. The timeliness, frequency, quality, and comparability of household surveys need to increase substantially, particularly in the poorest countries. The availability and quality of poverty monitoring data remains low in small states, countries with fragile situations, and low-income countries and even some middle-income countries. The low frequency and lack of comparability of the data available in some countries create uncertainty over the magnitude of poverty reduction. \n\nBesides the frequency and timeliness of survey data, other data quality issues arise in measuring household living standards. The surveys ask detailed questions on sources of income and how it was spent, which must be carefully recorded by trained personnel. Income is generally more difficult to measure accurately, and consumption comes closer to the notion of living standards. And income can vary over time even if living standards do not. But consumption data are not always available: the latest estimates reported here use consumption data for about two-thirds of countries.\n\nHowever, even similar surveys may not be strictly comparable because of differences in timing or in the quality and training of enumerators. Comparisons of countries at different levels of development also pose a potential problem because of differences in the relative importance of the consumption of nonmarket goods. The local market value of all consumption in kind (including own production, particularly important in underdeveloped rural economies) should be included in total consumption expenditure but may not be. Most survey data now include valuations for consumption or income from own production, but valuation methods vary.","^51","Proportion of people living below 50 percent of median income","^50","World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.","^4[","Proportion of people living below 50 percent of median income (%)","^52","Proportion of people living below 50 percent of median income (%)"]],"^4[",["^ ","^2","atom","^3","Proportion of people living below 50 percent of median income (%)"],"id",["^ ","^2","atom","^3","SI.DST.50MD"],"^53",["^ ","^2","atom","^3",[2020,["GE","BR","EC","BY","UA","AM","CR","CO","PE","BO","CL","PY","UY","MX","DO","AR","KG","TH"]]],"^54",["^ ","^2","atom","^3",["SI.DST.03RD.20","SI.DST.10TH.10","SI.DST.05TH.20","SI.DST.04TH.20","SI.DST.FRST.10","SI.DST.FRST.20","SI.DST.02ND.20","SI.POV.NAHC","SI.POV.LMIC.GP"]],"^51",["^ ","^2","atom","^3","Proportion of people living below 50 percent of median income"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","The percentage of people in the population who live in households whose per capita income or consumption is below half of the median income or consumption per capita. The median is measured at 2011 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries, medians are not reported due to grouped and/or confidential data. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported."],"^50",["^ ","^2","atom","^3","World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://pip.worldbank.org"],"^57",["^ ","^2","atom","^3",[["^ ","id","11","^3","Poverty "]]],"^58",["^ ","^2","atom","^3","percent"]],"^3C",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",2],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Financial Sector: Access","^59","The World Bank calculates and tracks the global average cost for sending remittances following each iteration of Remittance Prices Worldwide (RPW). This is intended to provide a tool to track the trend of remittance prices by various policy makers, including measuring progress towards the commitment by the G8 member countries to reduce the cost of remittances by five percentage points over five years (the “5x5 Objective”), as well as the commitment by the G20 member countries to also reduce the global average to 5 percent. The Global Average Total Cost is calculated as the average total cost for sending USD 200 with all remittance service providers (RSPs) worldwide. In other terms, the global average total cost is the simple average of the total cost for sending USD 200 charged by each single RSP included in the RPW database, expressed as the percentage of the amount sent. The regional and national average total costs are calculated using the same methodology used to calculate the Global Average Total Cost. These represent the simple average total cost for sending USD 200 with every single RSP to a specific region of the world (regional), or to a specific country (national). The reference years reflect third quarter data here; for example, data for 2016 refers to data in the third quarter of the year. For all quarterly data, visit http://remittanceprices.worldbank.org.","^5<","Quarterly (represented as Annual)","^5?","Reducing the cost of remittance transactions has a direct impact on development by freeing additional resources that, instead of being paid as transaction cost, will remain with the senders and receivers of the flows. Remittance cost is highlighted in Sustainable Development Goal 10. Target 10.c calls for reducing to less than 3 percent the transaction costs of migrant remittances and ensure that in no corridor remittance senders are required to pay more than 5 percent by 2030.","^4W","World Bank, Remittance Prices Worldwide, available at http://remittanceprices.worldbank.org","^4Y","Average transaction cost of sending remittance to a specific country is the average of the total transaction cost in percentage of the amount sent for sending USD 200 charged by each single remittance service provider (RSP) included in the Remittance Prices Worldwide (RPW) database to a specific country.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Average transaction cost of sending remittance to a specific country is the average of the total transaction cost in percentage of the amount sent for sending USD 200 charged by each single remittance service provider (RSP) included in the Remittance Prices Worldwide (RPW) database to a specific country.","^4Q","CC BY-4.0","^5B","Remittance service providers (RSPs) are excluded when they do not disclose the exchange rate applied to the transaction","^4[","Average transaction cost of sending remittances to a specific country (%)","^50","World Bank, Remittance Prices Worldwide, available at http://remittanceprices.worldbank.org","^51","Average transaction cost of sending remittances to a specific country","^52","Average transaction cost of sending remittances to a specific country (%)"]],"^4[",["^ ","^2","atom","^3","Average transaction cost of sending remittances to a specific country (%)"],"id",["^ ","^2","atom","^3","SI.RMT.COST.IB.ZS"],"^53",["^ ","^2","atom","^3",[2020,["BJ","LB","MA","XK","LA","ID","GE","TN","BR","BW","EC","RO","PK","BD","SR","TG","BY","TR","UA","MW","AM","SY","SO","AL","HT","MK","AF","CV","CR","CO","VN","PE","NA","ML","SS","KM","IN","LS","LV","ER","ZA","BO","HN","GM","ZM","YE","PL","CD","JO","ZW","NI","SV","SZ","SL","AO","GT","AZ","ET","EE","HR","CN","TZ","PY","RW","FJ","KZ","TO","BG","MX","DO","GH","NG","CM","MM","SD","MY","WS","KH","PA","LR","MD","LT","JM","VU","SN","CU","BA","TJ","KE","MG","KG","DZ","UZ","UG","RS","GY","CI","HU","EG","TH","LK","MZ","NP","PH"]]],"^54",["^ ","^2","atom","^3",["SI.RMT.COST.OB.ZS","SI.POV.NAHC","SI.POV.LMIC.GP","SI.POV.DDAY","SI.POV.MDIM","SI.POV.GINI","SI.DST.03RD.20","SI.DST.10TH.10","SI.POV.MDIM.MA"]],"^51",["^ ","^2","atom","^3","Average transaction cost of sending remittances to a specific country"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Average transaction cost of sending remittance to a specific country is the average of the total transaction cost in percentage of the amount sent for sending USD 200 charged by each single remittance service provider (RSP) included in the Remittance Prices Worldwide (RPW) database to a specific country."],"^50",["^ ","^2","atom","^3","World Bank, Remittance Prices Worldwide, available at http://remittanceprices.worldbank.org"],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://remittanceprices.worldbank.org"],"^57",["^ ","^2","atom","^3",[["^ ","id","7","^3","Financial Sector "]]],"^58",["^ ","^2","atom","^3","percent"]],"^3D",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",2],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Financial Sector: Access","^59","The World Bank calculates and tracks the global average cost for sending remittances following each iteration of Remittance Prices Worldwide (RPW). This is intended to provide a tool to track the trend of remittance prices by various policy makers, including measuring progress towards the commitment by the G8 member countries to reduce the cost of remittances by five percentage points over five years (the “5x5 Objective”), as well as the commitment by the G20 member countries to also reduce the global average to 5 percent. The Global Average Total Cost is calculated as the average total cost for sending USD 200 with all remittance service providers (RSPs) worldwide. In other terms, the global average total cost is the simple average of the total cost for sending USD 200 charged by each single RSP included in the RPW database, expressed as the percentage of the amount sent. The regional and national average total costs are calculated using the same methodology used to calculate the Global Average Total Cost. These represent the simple average total cost for sending USD 200 with every single RSP from a specific region of the world (regional), or from a specific country (national). The same applies to other averages such as the G8 average, which calculates the average cost of sending USD 200 from the G8 member countries, or the bank average, which represent the average cost of sending USD 200 with a bank worldwide. The reference years reflect third quarter data here; for example, data for 2016 refers to data in the third quarter of the year. For all quarterly data, visit http://remittanceprices.worldbank.org.","^5<","Quarterly (represented as Annual)","^5?","Reducing the cost of remittance transactions has a direct impact on development by freeing additional resources that, instead of being paid as transaction cost, will remain with the senders and receivers of the flows. Remittance cost is highlighted in Sustainable Development Goal 10. Target 10.c calls for reducing to less than 3 percent the transaction costs of migrant remittances and ensure that in no corridor remittance senders are required to pay more than 5 percent by 2030.","^4W","World Bank, Remittance Prices Worldwide, available at http://remittanceprices.worldbank.org","^4Y","Average transaction cost of sending remittance from a specific country is the average of the total transaction cost in percentage of the amount sent for sending USD 200 charged by each single remittance service provider (RSP) included in the Remittance Prices Worldwide (RPW) database from a specific country.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Average transaction cost of sending remittance from a specific country is the average of the total transaction cost in percentage of the amount sent for sending USD 200 charged by each single remittance service provider (RSP) included in the Remittance Prices Worldwide (RPW) database from a specific country.","^4Q","CC BY-4.0","^5B","Remittance service providers (RSPs) are excluded when they do not disclose the exchange rate applied to the transaction.","^4[","Average transaction cost of sending remittances from a specific country (%)","^50","World Bank, Remittance Prices Worldwide, available at http://remittanceprices.worldbank.org","^51","Average transaction cost of sending remittances from a specific country","^52","Average transaction cost of sending remittances from a specific country (%)"]],"^4[",["^ ","^2","atom","^3","Average transaction cost of sending remittances from a specific country (%)"],"id",["^ ","^2","atom","^3","SI.RMT.COST.OB.ZS"],"^53",["^ ","^2","atom","^3",[2020,["DE","BR","PK","ES","TR","US","JP","IT","PT","FR","CR","IL","IN","ZA","CL","JO","NO","AO","CZ","RU","TZ","CH","RW","KW","NZ","SA","BE","DO","GH","CA","NG","CM","MY","AT","SE","AE","SN","KE","AU","SG","CI","NL","OM","GB","TH","KR","QA","BH"]]],"^54",["^ ","^2","atom","^3",["SI.RMT.COST.IB.ZS","SI.POV.NAHC","SI.POV.LMIC.GP","SI.POV.DDAY","SI.POV.MDIM","SI.POV.GINI","SI.DST.03RD.20","SI.DST.10TH.10","SI.POV.MDIM.MA"]],"^51",["^ ","^2","atom","^3","Average transaction cost of sending remittances from a specific country"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Average transaction cost of sending remittance from a specific country is the average of the total transaction cost in percentage of the amount sent for sending USD 200 charged by each single remittance service provider (RSP) included in the Remittance Prices Worldwide (RPW) database from a specific country."],"^50",["^ ","^2","atom","^3","World Bank, Remittance Prices Worldwide, available at http://remittanceprices.worldbank.org"],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://remittanceprices.worldbank.org"],"^57",["^ ","^2","atom","^3",[["^ ","id","7","^3","Financial Sector "]]],"^58",["^ ","^2","atom","^3","percent"]],"^3E",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","3.12"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Environment: Density & urbanization","^59","Urban population refers to people living in urban areas as defined by national statistical offices. The indicator is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects. To estimate urban populations, UN ratios of urban to total population were applied to the World Bank's estimates of total population.\n\nCountries differ in the way they classify population as \"urban\" or \"rural.\" The population of a city or metropolitan area depends on the boundaries chosen.","^5:","Weighted average","^5<","Annual","^5?","Explosive growth of cities globally signifies the demographic transition from rural to urban, and is associated with shifts from an agriculture-based economy to mass industry, technology, and service.\n\nIn principle, cities offer a more favorable setting for the resolution of social and environmental problems than rural areas. Cities generate jobs and income, and deliver education, health care and other services. Cities also present opportunities for social mobilization and women's empowerment.","^4W","World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.","^4Y","Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects.","^4Q","CC BY-4.0","^5B","There is no consistent and universally accepted standard for distinguishing urban from rural areas, in part because of the wide variety of situations across countries.\n\nMost countries use an urban classification related to the size or characteristics of settlements. Some define urban areas based on the presence of certain infrastructure and services. And other countries designate urban areas based on administrative arrangements. Because of national differences in the characteristics that distinguish urban from rural areas, the distinction between urban and rural population is not amenable to a single definition that would be applicable to all countries.\n\nEstimates of the world's urban population would change significantly if China, India, and a few other populous nations were to change their definition of urban centers.\n\nBecause the estimates of city and metropolitan area are based on national definitions of what constitutes a city or metropolitan area, cross-country comparisons should be made with caution.","^4[","Urban population growth (annual %)","^50","World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.","^51","Urban population growth","^52","Urban population growth (annual %)"]],"^4[",["^ ","^2","atom","^3","Urban population growth (annual %)"],"id",["^ ","^2","atom","^3","SP.URB.GROW"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","VI","LB","MA","TL","LA","MR","DE","ID","GE","TN","AW","BR","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","SX","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","MC","SY","SO","IT","AL","HT","CG","KI","MK","JG","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","AS","IN","LS","DJ","LV","TM","SM","IQ","PW","KY","SC","ZA","LY","T3","BO","FO","HN","GM","ZM","MT","CL","KP","YE","PL","TC","CD","T2","JO","SK","NO","ZW","XG","KN","NI","PR","SV","IM","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","LI","SD","MY","WS","VG","AT","SB","SE","KH","PA","LR","AD","MP","MD","LT","T5","JM","GL","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","BM","GA","GI","KG","NR","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","GU","QA","GD","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["SP.URB.TOTL.IN.ZS","SP.URB.TOTL","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"]],"^51",["^ ","^2","atom","^3","Urban population growth"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects."],"^50",["^ ","^2","atom","^3","World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","19","^3","Climate Change"],["^ ","id","16","^3","Urban Development "]]],"^58",["^ ","^2","atom","^3","percent"]],"^3F",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Environment: Emissions","^59","A. van Donkelaar, R.V. Martin, M. Brauer, N.C. Hsu, R.A. Kahn, R.C. Levy, A. Lyapustin, A.M. Sayer, D.M. Winker, \"Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors,\" Environ. Sci. Technol 50, no. 7 (2016): 3762–3772; GBD 2017 Risk Factors Collaborators, \"Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 194 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017,\" Lancet 392 (2018): 1923-1994; Shaddick G, Thomas M, Amini H, Broday DM, Cohen A, Frostad J, Green A, Gumy S, Liu Y, Martin RV, Prüss-Üstün A, Simpson D, van Donkelaar A, Brauer M. Data integration for the assessment of population exposure to ambient air pollution for global burden of disease assessment. Environ Sci Technol. 2018 Jun 29. Data provided by Institute for Health Metrics and Evaluation, University of Washington, Seattle. Data on exposure to ambient air pollution are derived from estimates of annual concentrations of very fine particulates produced by the Global Burden of Disease study, an international scientific effort led by the Institute for Health Metrics and Evaluation at the University of Washington. Estimates of annual concentrations are generated by combining data from atmospheric chemistry transport models, satellite observations of aerosols in the atmosphere, and ground-level monitoring of particulates. Overlaying PM2.5 estimates with gridded population data, the percent of a nation's people that lives in areas where PM2.5 concentrations exceed recommended levels is calculated by summing the population for grid cells where PM2.5 concentrations are beyond a threshold value, in this case 10 micrograms per cubic meter, and then dividing by total population.","^5:","Weighted average","^5<","Annual","^5?","Air pollution places a major burden on world health. In many places, including cities but also in rural areas, exposure to air pollution is the main environmental threat to health, responsible for 6.5 million deaths per year, about one every 5 seconds. Around 40 percent of the world’s people rely on household burning of wood, charcoal, dung, crop waste, or coal to meet basic energy needs. Cooking and heating with solid fuels create harmful smoke and particles that fill homes and the surrounding environment. Household air pollution from cooking and heating with solid fuels is responsible for 2.9 million deaths a year. Long-term exposure to high levels of fine particles in the air contributes to a range of health effects, including respiratory diseases, lung cancer, and heart disease, resulting in 4.2 million deaths annually. Not only does exposure to air pollution affect the health of the world’s people, it also carries huge economic costs and represents a drag on development, particularly for low and middle income countries and vulnerable segments of the population such as children and the elderly.","^4W","Brauer, M. et al. 2017, for the Global Burden of Disease Study 2017.","^4Y","Percent of population exposed to ambient concentrations of PM2.5 that exceed the WHO guideline value is defined as the portion of a country’s population living in places where mean annual concentrations of PM2.5 are greater than 10 micrograms per cubic meter, the guideline value recommended by the World Health Organization as the lower end of the range of concentrations over which adverse health effects due to PM2.5 exposure have been observed.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Percent of population exposed to ambient concentrations of PM2.5 that exceed the WHO guideline value is defined as the portion of a country’s population living in places where mean annual concentrations of PM2.5 are greater than 10 micrograms per cubic meter, the guideline value recommended by the World Health Organization as the lower end of the range of concentrations over which adverse health effects due to PM2.5 exposure have been observed.","^4Q","CC BY-4.0","^5B","Pollutant concentrations are sensitive to local conditions, and even monitoring sites in the same city may register different levels. Direct monitoring of PM2.5 is still rare in most parts of the world, and measurement protocols and standards are not the same for all countries. These data should be considered only a general indication of air quality, intended to inform cross-country comparisons of the health risks due to particulate matter pollution. The guideline set by the World Health Organization (WHO) for PM2.5 is that annual mean concentrations should not exceed 10 micrograms per cubic meter, representing the lower range over which adverse health effects have been observed. The WHO has also recommended guideline values for emissions of PM2.5 from burning fuels in households.","^4[","PM2.5 air pollution, population exposed to levels exceeding WHO guideline value (% of total)","^50","Brauer, M. et al. 2017, for the Global Burden of Disease Study 2017.","^51","PM2.5 air pollution, population exposed to levels exceeding WHO guideline value","^52","PM2.5 air pollution, population exposed to levels exceeding WHO guideline value (% of total)"]],"^4[",["^ ","^2","atom","^3","PM2.5 air pollution, population exposed to levels exceeding WHO guideline value (% of total)"],"id",["^ ","^2","atom","^3","EN.ATM.PM25.MC.ZS"],"^53",["^ ","^2","atom","^3",[2017,["MU","BI","BJ","VI","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","ST","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","SY","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","AS","IN","LS","DJ","LV","TM","IQ","ER","SC","ZA","LY","T3","BO","HN","GM","ZM","MT","CL","KP","YE","PL","CD","T2","JO","SK","NO","ZW","XG","NI","PR","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","AD","MP","MD","LT","T5","JM","GL","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","BM","GA","KG","AU","DZ","UZ","UG","SG","IS","RS","SI","T7","GY","CI","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","GU","QA","GD","BT","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["EN.ATM.PM25.MC.M3","EN.ATM.PM25.MC.T1.ZS","EN.ATM.PM25.MC.T2.ZS","EN.ATM.PM25.MC.T3.ZS","EN.ATM.NOXE.KT.CE","EN.ATM.METH.AG.KT.CE","EN.ATM.METH.EG.KT.CE","EN.ATM.NOXE.AG.KT.CE","EN.ATM.CO2E.LF.KT"]],"^51",["^ ","^2","atom","^3","PM2.5 air pollution, population exposed to levels exceeding WHO guideline value"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Percent of population exposed to ambient concentrations of PM2.5 that exceed the WHO guideline value is defined as the portion of a country’s population living in places where mean annual concentrations of PM2.5 are greater than 10 micrograms per cubic meter, the guideline value recommended by the World Health Organization as the lower end of the range of concentrations over which adverse health effects due to PM2.5 exposure have been observed."],"^50",["^ ","^2","atom","^3","Brauer, M. et al. 2017, for the Global Burden of Disease Study 2017."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","16","^3","Urban Development "],["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","percent"]],"^3G",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5:","Weighted average","^5<","Annual","^4V","Economic Policy & Debt: National accounts: Adjusted savings & income","^4W","World Bank staff estimates based on sources and methods in World Bank's \"The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium\" (2011).","^4Y","Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide. This series excludes particulate emissions damage.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide. This series excludes particulate emissions damage.","^4Q","CC BY-4.0","^4[","Adjusted net savings, excluding particulate emission damage (% of GNI)","^50","World Bank staff estimates based on sources and methods in World Bank's \"The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium\" (2011).","^51","Adjusted net savings, excluding particulate emission damage","^52","Adjusted net savings, excluding particulate emission damage (% of GNI)"]],"^4[",["^ ","^2","atom","^3","Adjusted net savings, excluding particulate emission damage (% of GNI)"],"id",["^ ","^2","atom","^3","NY.ADJ.SVNX.GN.ZS"],"^53",["^ ","^2","atom","^3",[2020,["MU","LB","MA","TL","MR","DE","ID","GE","BR","BW","EC","RO","GR","PK","BD","ES","BY","TR","US","IE","UA","BN","JP","AM","ZT","IT","AL","MK","PT","CV","FR","CR","GN","IL","CO","BS","VN","PE","NA","KM","MV","IN","DJ","LV","SC","ZA","BO","HN","GM","ZM","CL","PL","CD","T2","JO","SK","NO","ZW","XG","NI","SV","SZ","AO","LU","GT","AZ","CY","CZ","ET","EE","HR","RU","CN","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","NZ","BG","SA","BE","UY","MX","DO","MN","GH","AR","CA","BZ","NG","CM","SD","MY","AT","SB","SE","KH","PA","MD","LT","T5","JM","VU","TJ","MG","KG","AU","DZ","UZ","UG","SG","IS","RS","SI","T7","NL","HU","EG","TH","LK","NP","KR","QA","BT","PH","T6"]]],"^54",["^ ","^2","atom","^3",["NY.ADJ.SVNX.CD","NY.ADJ.NNTY.KD","NY.ADJ.DFOR.GN.ZS","NY.ADJ.DNGY.GN.ZS","NY.ADJ.DMIN.CD","NY.ADJ.DNGY.CD","NY.ADJ.NNTY.PC.KD","NY.ADJ.DKAP.CD","NY.ADJ.DCO2.CD"]],"^51",["^ ","^2","atom","^3","Adjusted net savings, excluding particulate emission damage"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide. This series excludes particulate emissions damage."],"^50",["^ ","^2","atom","^3","World Bank staff estimates based on sources and methods in World Bank's \"The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium\" (2011)."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","3","^3","Economy & Growth"],["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","percent"]],"^3H",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","3.14"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Environment: Natural resources contribution to GDP","^59","The estimates of natural resources rents are calculated as the difference between the price of a commodity and the average cost of producing it. This is done by estimating the price of units of specific commodities and subtracting estimates of average unit costs of extraction or harvesting costs. These unit rents are then multiplied by the physical quantities countries extract or harvest to determine the rents for each commodity as a share of gross domestic product (GDP).","^5:","Weighted average","^5<","Annual","^5?","Accounting for the contribution of natural resources to economic output is important in building an analytical framework for sustainable development. In some countries earnings from natural resources, especially from fossil fuels and minerals, account for a sizable share of GDP, and much of these earnings come in the form of economic rents - revenues above the cost of extracting the resources.\n\nNatural resources give rise to economic rents because they are not produced. For produced goods and services competitive forces expand supply until economic profits are driven to zero, but natural resources in fixed supply often command returns well in excess of their cost of production. Rents from nonrenewable resources - fossil fuels and minerals - as well as rents from overharvesting of forests indicate the liquidation of a country's capital stock. When countries use such rents to support current consumption rather than to invest in new capital to replace what is being used up, they are, in effect, borrowing against their future.","^4W","World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations.","^4Y","Total natural resources rents are the sum of oil rents, natural gas rents, coal rents (hard and soft), mineral rents, and forest rents.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Total natural resources rents are the sum of oil rents, natural gas rents, coal rents (hard and soft), mineral rents, and forest rents.","^4Q","CC BY-4.0","^4[","Total natural resources rents (% of GDP)","^50","World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations.","^51","Total natural resources rents","^52","Total natural resources rents (% of GDP)"]],"^4[",["^ ","^2","atom","^3","Total natural resources rents (% of GDP)"],"id",["^ ","^2","atom","^3","NY.GDP.TOTL.RT.ZS"],"^53",["^ ","^2","atom","^3",[2020,["MU","BI","BJ","LB","MA","XK","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","ST","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","PS","KM","MV","AS","IN","LS","DJ","LV","IQ","PW","KY","SC","ZA","LY","T3","BO","HN","GM","ZM","MT","CL","PL","TC","CD","T2","JO","SK","NO","ZW","XG","KN","NI","PR","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","MD","LT","T5","JM","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","BM","GA","KG","NR","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","GU","QA","GD","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["NY.GDP.PCAP.KD.ZG","NY.GDP.DEFL.KD.ZG","NY.GDP.PETR.RT.ZS","NY.GDP.COAL.RT.ZS","NY.GDP.MKTP.CD","NY.GDP.FCST.CD","NY.GDP.FCST.CN","NY.GDP.MKTP.KD.ZG","NY.GDP.PCAP.KN"]],"^51",["^ ","^2","atom","^3","Total natural resources rents"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Total natural resources rents are the sum of oil rents, natural gas rents, coal rents (hard and soft), mineral rents, and forest rents."],"^50",["^ ","^2","atom","^3","World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","5","^3","Energy & Mining "],["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","percent"]],"^3I",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","3.11"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Environment: Land use","^59","This indicator measures vulnerability of population affected by droughts, floods, and extreme temperature. A drought is an extended period of deficiency in a region's water supply as a result of below average precipitation.","^5<","Annual","^5?","Scientists use the terms climate change and global warming to refer to the gradual increase in the Earth's surface temperature that has accelerated since the industrial revolution and especially over the past two decades. Most global warming has been caused by human activities that have changed the chemical composition of the atmosphere through a buildup of greenhouse gases - primarily carbon dioxide, methane, and nitrous oxide. Rising global temperatures will cause sea level rise and alter local climate conditions, affecting forests, crop yields, and water supplies, and may affect human health, animals, and many types of ecosystems.\n\nA drought can lead to losses in agriculture, affect inland navigation and hydropower plants, reduce access to drinking water, and cause famines. A flood is a significant rise of water level in a stream, lake, reservoir, or coastal region. Extreme temperature events are either cold waves or heat waves. A cold wave can be both a prolonged period of excessively cold weather and the sudden invasion of very cold air over a large area. Accompanied by frost, it can damage agriculture, infrastructure, and property. A heat wave is a prolonged period of excessively hot and sometimes humid weather. Population affected by these natural disasters is the number of people injured, left homeless, or requiring immediate assistance and can include displaced or evacuated people.","^4W","EM-DAT: The OFDA/CRED International Disaster Database: www.emdat.be, Université Catholique de Louvain, Brussels (Belgium), World Bank.","^4Y","Droughts, floods and extreme temperatures is the annual average percentage of the population that is affected by natural disasters classified as either droughts, floods, or extreme temperature events. A drought is an extended period of time characterized by a deficiency in a region's water supply that is the result of constantly below average precipitation. A drought can lead to losses to agriculture, affect inland navigation and hydropower plants, and cause a lack of drinking water and famine. A flood is a significant rise of water level in a stream, lake, reservoir or coastal region. Extreme temperature events are either cold waves or heat waves. A cold wave can be both a prolonged period of excessively cold weather and the sudden invasion of very cold air over a large area. Along with frost it can cause damage to agriculture, infrastructure, and property. A heat wave is a prolonged period of excessively hot and sometimes also humid weather relative to normal climate patterns of a certain region. Population affected is the number of people injured, left homeless or requiring immediate assistance during a period of emergency resulting from a natural disaster; it can also include displaced or evacuated people. Average percentage of population affected is calculated by dividing the sum of total affected for the period stated by the sum of the annual population figures for the period stated.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Droughts, floods and extreme temperatures is the annual average percentage of the population that is affected by natural disasters classified as either droughts, floods, or extreme temperature events. A drought is an extended period of time characterized by a deficiency in a region's water supply that is the result of constantly below average precipitation. A drought can lead to losses to agriculture, affect inland navigation and hydropower plants, and cause a lack of drinking water and famine. A flood is a significant rise of water level in a stream, lake, reservoir or coastal region. Extreme temperature events are either cold waves or heat waves. A cold wave can be both a prolonged period of excessively cold weather and the sudden invasion of very cold air over a large area. Along with frost it can cause damage to agriculture, infrastructure, and property. A heat wave is a prolonged period of excessively hot and sometimes also humid weather relative to normal climate patterns of a certain region. Population affected is the number of people injured, left homeless or requiring immediate assistance during a period of emergency resulting from a natural disaster; it can also include displaced or evacuated people. Average percentage of population affected is calculated by dividing the sum of total affected for the period stated by the sum of the annual population figures for the period stated.","^4Q","CC BY-4.0","^5B","The 2007 Intergovernmental Panel on Climate Change's (IPCC) assessment report concluded that global warming is \"unequivocal\" and gave the strongest warning yet about the role of human activities. The report estimated that sea levels would rise approximately 49 centimeters over the next 100 years, with a range of uncertainty of 20-86 centimeters. That will lead to increased coastal flooding through direct inundation and a higher base for storm surges, allowing flooding of larger areas and higher elevations. Climate model simulations predict an increase in average surface air temperature of about 2.5°C by 2100 (Kattenberg and others 1996) and increase of \"killer\" heat waves during the warm season (Karl and others 1997).","^4[","Droughts, floods, extreme temperatures (% of population, average 1990-2009)","^50","EM-DAT: The OFDA/CRED International Disaster Database: www.emdat.be, Université Catholique de Louvain, Brussels (Belgium), World Bank.","^51","Droughts, floods, extreme temperatures","^52","Droughts, floods, extreme temperatures (% of population, average 1990-2009)"]],"^4[",["^ ","^2","atom","^3","Droughts, floods, extreme temperatures (% of population, average 1990-2009)"],"id",["^ ","^2","atom","^3","EN.CLC.MDAT.ZS"],"^53",["^ ","^2","atom","^3",[2009,["MU","BI","BJ","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","PK","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","MW","JP","AM","SY","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","VN","PE","NA","ML","KM","MV","AS","IN","LS","DJ","LV","TM","IQ","ER","SC","ZA","LY","BO","HN","GM","ZM","CL","KP","YE","PL","CD","JO","SK","NO","NI","PR","SV","SZ","SL","AO","LU","GT","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","AT","SB","SE","KH","PA","LR","MD","LT","JM","PG","VU","SN","CU","BA","TJ","VC","KE","MG","KG","AU","DZ","UZ","UG","HK","RS","SI","GY","CI","NL","HU","GB","EG","TH","LK","MZ","NP","KR","TD","BT","PH","NE"]]],"^54",["^ ","^2","atom","^3",["EN.CLC.DRSK.XQ","EN.CLC.GHGR.MT.CE","EN.ATM.NOXE.KT.CE","EN.CO2.TRAN.ZS","EN.ATM.METH.AG.KT.CE","EN.FSH.THRD.NO","EN.ATM.METH.EG.KT.CE","EN.POP.EL5M.ZS","EN.ATM.NOXE.AG.KT.CE"]],"^51",["^ ","^2","atom","^3","Droughts, floods, extreme temperatures"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Droughts, floods and extreme temperatures is the annual average percentage of the population that is affected by natural disasters classified as either droughts, floods, or extreme temperature events. A drought is an extended period of time characterized by a deficiency in a region's water supply that is the result of constantly below average precipitation. A drought can lead to losses to agriculture, affect inland navigation and hydropower plants, and cause a lack of drinking water and famine. A flood is a significant rise of water level in a stream, lake, reservoir or coastal region. Extreme temperature events are either cold waves or heat waves. A cold wave can be both a prolonged period of excessively cold weather and the sudden invasion of very cold air over a large area. Along with frost it can cause damage to agriculture, infrastructure, and property. A heat wave is a prolonged period of excessively hot and sometimes also humid weather relative to normal climate patterns of a certain region. Population affected is the number of people injured, left homeless or requiring immediate assistance during a period of emergency resulting from a natural disaster; it can also include displaced or evacuated people. Average percentage of population affected is calculated by dividing the sum of total affected for the period stated by the sum of the annual population figures for the period stated."],"^50",["^ ","^2","atom","^3","EM-DAT: The OFDA/CRED International Disaster Database: www.emdat.be, Université Catholique de Louvain, Brussels (Belgium), World Bank."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","19","^3","Climate Change"],["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","percent"]],"^3J",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","3.11"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Environment: Land use","^59","Resilience is measured by the disaster risk reduction progress score, an average of self-assessment scores submitted by countries under Priority 1 of the Hyogo Framework National Progress Reports. The Hyogo Framework is a global blueprint for disaster risk reduction efforts that was adopted by 168 countries in 2005. Assessments of Priority 1 include four indicators that reflect the degree to which countries have prioritized disaster risk reduction and the strengthening of relevant institutions.","^5<","Annual","^5?","The Hyogo Framework's goal is to substantially reduce disaster losses by 2015 - in lives, and in the social, economic, and environmental assets of communities and countries. The Hyogo Framework offers guiding principles, priorities for action, and practical means for achieving disaster resilience for vulnerable communities. Governments around the world have committed to take action to reduce disaster risk, and have adopted a guideline to reduce vulnerabilities to natural hazards, called the Hyogo Framework for Action (HFA). The HFA assists the efforts of nations and communities to become more resilient to, and cope better with the hazards that threaten their development gains.\n\nScientists use the terms climate change and global warming to refer to the gradual increase in the Earth's surface temperature that has accelerated since the industrial revolution and especially over the past two decades. Most global warming has been caused by human activities that have changed the chemical composition of the atmosphere through a buildup of greenhouse gases - primarily carbon dioxide, methane, and nitrous oxide. Rising global temperatures will cause sea level rise and alter local climate conditions, affecting forests, crop yields, and water supplies, and may affect human health, animals, and many types of ecosystems.","^4W","(UNISDR, 2009-2011 Progress Reports, http://www.preventionweb.net/english/hyogo).","^4Y","Disaster risk reduction progress score is an average of self-assessment scores, ranging from 1 to 5, submitted by countries under Priority 1 of the Hyogo Framework National Progress Reports. The Hyogo Framework is a global blueprint for disaster risk reduction efforts that was adopted by 168 countries in 2005. Assessments of \"Priority 1\" include four indicators that reflect the degree to which countries have prioritized disaster risk reduction and the strengthening of relevant institutions.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Disaster risk reduction progress score is an average of self-assessment scores, ranging from 1 to 5, submitted by countries under Priority 1 of the Hyogo Framework National Progress Reports. The Hyogo Framework is a global blueprint for disaster risk reduction efforts that was adopted by 168 countries in 2005. Assessments of \"Priority 1\" include four indicators that reflect the degree to which countries have prioritized disaster risk reduction and the strengthening of relevant institutions.","^4Q","CC BY-4.0","^5B","The Hyogo Framework for Action (FHA) national progress reports assess strategic priorities in the implementation of disaster risk reduction actions and establish baselines on levels of progress achieved in implementing the HFA's five priorities for action. National reporting processes are led by officially designated HFA focal institutions in country, and regional reporting by regional intergovernmental organizations.\n\nHFA's five priorities are:\n1. Making disaster risk reduction a policy priority, institutional strengthening\n2. Risk assessment and early warning systems\n3. Education, information and public awareness\n4. Reducing underlying risk factors\n5. Preparedness for effective response","^4[","Disaster risk reduction progress score (1-5 scale; 5=best)","^50","(UNISDR, 2009-2011 Progress Reports, http://www.preventionweb.net/english/hyogo).","^51","Disaster risk reduction progress score","^52","Disaster risk reduction progress score (1-5 scale; 5=best)"]],"^4[",["^ ","^2","atom","^3","Disaster risk reduction progress score (1-5 scale; 5=best)"],"id",["^ ","^2","atom","^3","EN.CLC.DRSK.XQ"],"^53",["^ ","^2","atom","^3",[2011,["MU","BI","LB","MA","LA","DE","ID","GE","BR","BW","EC","RO","BB","PK","BD","GW","US","BN","MW","JP","AM","SY","IT","MK","CV","CR","CO","PE","KM","MV","IN","LS","KY","BO","HN","ZM","CL","YE","PL","TC","NO","KN","NI","SV","AG","SL","GT","CZ","MH","TZ","FI","PY","CH","FJ","VE","NZ","BG","MX","DO","MN","GH","AR","CA","NG","MY","WS","SB","SE","PA","JM","VU","SN","CU","LC","KE","MG","AU","DZ","CI","TH","LK","MZ","NP"]]],"^54",["^ ","^2","atom","^3",["EN.CLC.GHGR.MT.CE","EN.CLC.MDAT.ZS","EN.ATM.NOXE.KT.CE","EN.CO2.TRAN.ZS","EN.ATM.METH.AG.KT.CE","EN.FSH.THRD.NO","EN.ATM.METH.EG.KT.CE","EN.POP.EL5M.ZS","EN.ATM.NOXE.AG.KT.CE"]],"^51",["^ ","^2","atom","^3","Disaster risk reduction progress score"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Disaster risk reduction progress score is an average of self-assessment scores, ranging from 1 to 5, submitted by countries under Priority 1 of the Hyogo Framework National Progress Reports. The Hyogo Framework is a global blueprint for disaster risk reduction efforts that was adopted by 168 countries in 2005. Assessments of \"Priority 1\" include four indicators that reflect the degree to which countries have prioritized disaster risk reduction and the strengthening of relevant institutions."],"^50",["^ ","^2","atom","^3","(UNISDR, 2009-2011 Progress Reports, http://www.preventionweb.net/english/hyogo)."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://www.preventionweb.net/english/hyogo"],"^57",["^ ","^2","atom","^3",[["^ ","id","19","^3","Climate Change"],["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^3K",["^ ","^4Q",["^ ","^2","atom","^3","Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://creativecommons.org/licenses/by-nc/4.0/"],"^4S",["^ ","^2","atom","^3","3.9"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Environment: Emissions","^59","The GHG totals are expressed in CO2 equivalent using the GWP100 metric of the Second Assessment Report of IPCC and include CO2 (GWP100=1), CH4 (GWP100=21), N2O (GWP100=310) and F-gases (c-C4F8 GWP=8700, C2F6 GWP=9200, C3F8 GWP=7000, C4F10 GWP=7000, C5F12 GWP=7500, C6F14 GWP=7400, C7F16 GWP=7820, CF4 GWP=6500, HFC-125 GWP=2800, HFC-134a GWP=1300, HFC-143a GWP=3800, HFC-152a GWP=140, HFC-227ea GWP=2900, HFC-23 GWP=11700, HFC-236fa GWP=6300, HFC-245fa GWP=858, HFC-32 GWP=650, HFC-365mfc GWP=804, HFC-43-10-mee GWP=1300, SF6 GWP=23900).","^5:","Sum","^5<","Annual","^5?","The addition of man-made greenhouse gases to the Atmosphere disturbs the earth's radiative balance. This is leading to an increase in the earth's surface temperature and to related effects on climate, sea level rise and world agriculture. Emissions of CO2 are from burning oil, coal and gas for energy use, burning wood and waste materials, and from industrial processes such as cement production. Emission intensity is the average emission rate of a given pollutant from a given source relative to the intensity of a specific activity. Emission intensities are also used to compare the environmental impact of different fuels or activities. The related terms - emission factor and carbon intensity - are often used interchangeably.\n\nThe carbon dioxide emissions of a country are only an indicator of one greenhouse gas. For a more complete idea of how a country influences climate change, gases such as methane and nitrous oxide should be taken into account. This is particularly important in agricultural economies.\n\nThe environmental effects of carbon dioxide are of significant interest. Carbon dioxide (CO2) makes up the largest share of the greenhouse gases contributing to global warming and climate change. Converting all other greenhouse gases (methane (CH4), nitrous oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), Sulphur hexafluoride (SF6)) to carbon dioxide (or CO2) equivalents makes it possible to compare them and to determine their individual and total contributions to global warming. The Kyoto Protocol, an environmental agreement adopted in 1997 by many of the parties to the United Nations Framework Convention on Climate Change (UNFCCC), is working towards curbing CO2 emissions globally.","^4W","Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions.","^4Y","Total greenhouse gas emissions in kt of CO2 equivalent are composed of CO2 totals excluding short-cycle biomass burning (such as agricultural waste burning and savanna burning) but including other biomass burning (such as forest fires, post-burn decay, peat fires and decay of drained peatlands), all anthropogenic CH4 sources, N2O sources and F-gases (HFCs, PFCs and SF6).","^4R","https://web.archive.org/web/20220510201529/https://creativecommons.org/licenses/by-nc/4.0/","^4Z","Total greenhouse gas emissions in kt of CO2 equivalent are composed of CO2 totals excluding short-cycle biomass burning (such as agricultural waste burning and savanna burning) but including other biomass burning (such as forest fires, post-burn decay, peat fires and decay of drained peatlands), all anthropogenic CH4 sources, N2O sources and F-gases (HFCs, PFCs and SF6).","^4Q","Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","^5B","National reporting to the United Nations Framework Convention on Climate Change that follows the Intergovernmental Panel on Climate Change guidelines is based on national emission inventories and covers all sources of anthropogenic carbon dioxide emissions as well as carbon sinks (such as forests). To estimate emissions, the countries that are Parties to the Climate Change Convention (UNFCCC) use complex, state-of-the-art methodologies recommended by the Intergovernmental Panel on Climate Change (IPCC).","^4[","Total greenhouse gas emissions (kt of CO2 equivalent)","^50","Data for up to 1990 are sourced from Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States. Data from 1990 are CAIT data: Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions.","^51","Total greenhouse gas emissions","^52","Total greenhouse gas emissions (thousand metric tons of CO2 equivalent excluding Land-Use Change and Forestry)"]],"^4[",["^ ","^2","atom","^3","Total greenhouse gas emissions (kt of CO2 equivalent)"],"id",["^ ","^2","atom","^3","EN.ATM.GHGT.KT.CE"],"^53",["^ ","^2","atom","^3",[2018,["MU","BI","BJ","LB","MA","TL","LA","MR","DE","ID","GE","TN","BR","ME","BW","EC","RO","GR","BB","PK","ST","BD","SR","ES","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","SY","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","KM","MV","IN","LS","DJ","LV","TM","IQ","ER","PW","SC","ZA","LY","T3","BO","HN","GM","ZM","MT","CL","KP","YE","PL","CD","T2","JO","SK","NO","ZW","XG","KN","NI","SV","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","LI","SD","MY","WS","AT","SB","SE","KH","PA","LR","AD","MD","LT","T5","JM","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","GA","KG","NR","AU","DZ","UZ","UG","SG","IS","RS","SI","T7","GY","CI","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","QA","GD","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["EN.ATM.GHGT.ZG","EN.ATM.NOXE.KT.CE","EN.ATM.METH.AG.KT.CE","EN.ATM.METH.EG.KT.CE","EN.ATM.NOXE.AG.KT.CE","EN.ATM.CO2E.LF.KT","EN.ATM.SF6G.KT.CE","EN.ATM.NOXE.ZG","EN.ATM.METH.AG.ZS"]],"^51",["^ ","^2","atom","^3","Total greenhouse gas emissions"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Total greenhouse gas emissions in kt of CO2 equivalent are composed of CO2 totals excluding short-cycle biomass burning (such as agricultural waste burning and savanna burning) but including other biomass burning (such as forest fires, post-burn decay, peat fires and decay of drained peatlands), all anthropogenic CH4 sources, N2O sources and F-gases (HFCs, PFCs and SF6)."],"^50",["^ ","^2","atom","^3","Data for up to 1990 are sourced from Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States. Data from 1990 are CAIT data: Climate Watch. 2020. GHG Emissions. Washington, DC: World Resources Institute. Available at: https://www.climatewatchdata.org/ghg-emissions."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://www.climatewatchdata.org/ghg-emissions"],"^57",["^ ","^2","atom","^3",[["^ ","id","19","^3","Climate Change"],["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^3L",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5:","Sum","^5<","Annual","^4V","Environment: Agricultural production","^4W","Food and Agriculture Organization.","^4Y","Total fisheries production measures the volume of aquatic species caught by a country for all commercial, industrial, recreational and subsistence purposes. The harvest from mariculture, aquaculture and other kinds of fish farming is also included.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Total fisheries production measures the volume of aquatic species caught by a country for all commercial, industrial, recreational and subsistence purposes. The harvest from mariculture, aquaculture and other kinds of fish farming is also included.","^4Q","CC BY-4.0","^4[","Total fisheries production (metric tons)","^50","Food and Agriculture Organization.","^51","Total fisheries production","^52","Total fisheries production (metric tons)"]],"^4[",["^ ","^2","atom","^3","Total fisheries production (metric tons)"],"id",["^ ","^2","atom","^3","ER.FSH.PROD.MT"],"^53",["^ ","^2","atom","^3",[2018,["MU","BI","BJ","VI","LB","MA","TL","LA","MR","DE","ID","GE","TN","AW","BR","MF","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","SX","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","MC","SY","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","AS","IN","LS","DJ","LV","TM","SM","IQ","ER","PW","KY","SC","ZA","LY","T3","BO","FO","HN","GM","ZM","MT","CL","KP","YE","PL","TC","CD","T2","JO","SK","NO","ZW","XG","KN","NI","PR","SV","IM","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","LI","SD","MY","WS","VG","AT","SB","SE","KH","PA","LR","AD","MP","MD","LT","T5","JM","GL","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","BM","GA","GI","KG","NR","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","GU","QA","GD","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["ER.FSH.CAPT.MT","ER.FSH.AQUA.MT","EN.FSH.THRD.NO","ER.LND.PTLD.ZS","ER.H2O.FWIN.ZS","ER.H2O.INTR.PC","ER.GDP.FWTL.M3.KD","ER.H2O.FWST.ZS","ER.H2O.FWAG.ZS"]],"^51",["^ ","^2","atom","^3","Total fisheries production"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Total fisheries production measures the volume of aquatic species caught by a country for all commercial, industrial, recreational and subsistence purposes. The harvest from mariculture, aquaculture and other kinds of fish farming is also included."],"^50",["^ ","^2","atom","^3","Food and Agriculture Organization."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^3M",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Environment: Agricultural production","^59","Aquaculture production specifically refers to output from aquaculture activities, which are designated for final harvest for consumption. At this time, harvest for ornamental purposes is not included.","^5:","Sum","^5<","Annual","^5?","Aquaculture is understood to mean the farming of aquatic organisms including fish, molluscs, crustaceans and aquatic plants. Farming implies some form of intervention in the rearing process to enhance production, such as regular stocking, feeding, protection from predators, etc. Farming also implies individual or corporate ownership of the stock being cultivated. For statistical purposes, aquatic organisms which are harvested by an individual of corporate body which has owned them throughout their rearing period contribute to aquaculture while aquatic organisms which are exploitable by public as a common property resource, with or without appropriate licences, are the harvest of fisheries.","^4W","Food and Agriculture Organization.","^4Y","Aquaculture is understood to mean the farming of aquatic organisms including fish, molluscs, crustaceans and aquatic plants. Aquaculture production specifically refers to output from aquaculture activities, which are designated for final harvest for consumption.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Aquaculture is understood to mean the farming of aquatic organisms including fish, molluscs, crustaceans and aquatic plants. Aquaculture production specifically refers to output from aquaculture activities, which are designated for final harvest for consumption.","^4Q","CC BY-4.0","^4[","Aquaculture production (metric tons)","^50","Food and Agriculture Organization.","^51","Aquaculture production","^52","Aquaculture production (metric tons)"]],"^4[",["^ ","^2","atom","^3","Aquaculture production (metric tons)"],"id",["^ ","^2","atom","^3","ER.FSH.AQUA.MT"],"^53",["^ ","^2","atom","^3",[2018,["MU","BI","BJ","VI","LB","MA","TL","LA","DE","ID","GE","TN","AW","BR","ME","BW","EC","RO","GR","BB","PK","NC","BD","SR","ES","PF","GW","TG","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","SY","IT","AL","HT","CG","KI","MK","PT","AF","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","AS","IN","LS","LV","TM","IQ","ER","PW","SC","ZA","LY","T3","BO","FO","HN","GM","ZM","MT","CL","KP","YE","PL","TC","CD","T2","JO","SK","NO","ZW","XG","KN","NI","PR","SV","SZ","AG","SL","AO","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","DM","GH","AR","CA","IR","BZ","NG","CM","MM","SD","MY","WS","VG","AT","SB","SE","KH","PA","LR","MP","MD","LT","T5","JM","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","GA","KG","NR","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","NL","HU","OM","GB","EG","TH","LK","MZ","NP","KR","TD","GU","QA","GD","BT","TV","PH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["ER.FSH.CAPT.MT","ER.FSH.PROD.MT","EN.FSH.THRD.NO","ER.LND.PTLD.ZS","ER.H2O.FWIN.ZS","ER.H2O.INTR.PC","ER.GDP.FWTL.M3.KD","ER.H2O.FWST.ZS","ER.H2O.FWAG.ZS"]],"^51",["^ ","^2","atom","^3","Aquaculture production"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Aquaculture is understood to mean the farming of aquatic organisms including fish, molluscs, crustaceans and aquatic plants. Aquaculture production specifically refers to output from aquaculture activities, which are designated for final harvest for consumption."],"^50",["^ ","^2","atom","^3","Food and Agriculture Organization."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^3N",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^59","In 2008, China revised its 2006 production statistics to reduce about 13 percent based on its Second National Agriculture Census conducted in 2007. This implied the downward adjustment of global capture production about 2 percent. Historical statistics of China for the period 1997-2005 were subsequently revised by FAO.","^5:","Sum","^5<","Annual","^4V","Environment: Agricultural production","^4W","Food and Agriculture Organization.","^4Y","Capture fisheries production measures the volume of fish catches landed by a country for all commercial, industrial, recreational and subsistence purposes.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Capture fisheries production measures the volume of fish catches landed by a country for all commercial, industrial, recreational and subsistence purposes.","^4Q","CC BY-4.0","^4[","Capture fisheries production (metric tons)","^50","Food and Agriculture Organization.","^51","Capture fisheries production","^52","Capture fisheries production (metric tons)"]],"^4[",["^ ","^2","atom","^3","Capture fisheries production (metric tons)"],"id",["^ ","^2","atom","^3","ER.FSH.CAPT.MT"],"^53",["^ ","^2","atom","^3",[2018,["MU","BI","BJ","VI","LB","MA","TL","LA","MR","DE","ID","GE","TN","AW","BR","MF","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","SX","BY","TR","US","IE","UA","BN","MW","JP","AM","ZT","MC","SY","SO","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","AS","IN","LS","DJ","LV","TM","SM","IQ","ER","PW","KY","SC","ZA","LY","T3","BO","FO","HN","GM","ZM","MT","CL","KP","YE","PL","TC","CD","T2","JO","SK","NO","ZW","XG","KN","NI","PR","SV","IM","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","T4","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","LI","SD","MY","WS","VG","AT","SB","SE","KH","PA","LR","AD","MP","MD","LT","T5","JM","GL","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","BM","GA","GI","KG","NR","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","T7","GY","CI","MO","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","GU","QA","GD","BT","TV","PH","BH","T6","NE"]]],"^54",["^ ","^2","atom","^3",["ER.FSH.PROD.MT","ER.FSH.AQUA.MT","EN.FSH.THRD.NO","ER.LND.PTLD.ZS","ER.H2O.FWIN.ZS","ER.H2O.INTR.PC","ER.GDP.FWTL.M3.KD","ER.H2O.FWST.ZS","ER.H2O.FWAG.ZS"]],"^51",["^ ","^2","atom","^3","Capture fisheries production"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Capture fisheries production measures the volume of fish catches landed by a country for all commercial, industrial, recreational and subsistence purposes."],"^50",["^ ","^2","atom","^3","Food and Agriculture Organization."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","unknown"]],"^3O",["^ ","^4Q",["^ ","^2","atom","^3","Use and distribution of these data are subject to Protected Planet terms and conditions."],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://www.protectedplanet.net/c/terms-and-conditions"],"^4S",["^ ","^2","atom","^3","3.4"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5=","Restricted use: Please contact the Protected Planet for third-party use of these data.","^59","This indicator is calculated using all the nationally designated protected areas recorded in the World Database on Protected Areas (WDPA) whose location and extent is known. The WDPA database is stored within a Geographic Information System (GIS) that stores information about protected areas such as their name, type and date of designation, documented area, geographic location (point) and/or boundary (polygon). \n\nDesignating an area as protected does not mean that protection is in force. And for small countries that have only protected areas smaller than 1,000 hectares, the size limit in the definition leads to an underestimate of protected areas. Nationally protected areas are defined using the six IUCN management categories for areas of at least 1,000 hectares: scientific reserves and strict nature reserves with limited public access; national parks of national or international significance and not materially affected by human activity; natural monuments and natural landscapes with unique aspects; managed nature reserves and wildlife sanctuaries; protected landscapes (which may include cultural landscapes); and areas managed mainly for the sustainable use of natural systems to ensure long-term protection and maintenance of biological diversity. \n\nA GIS analysis is used to calculate terrestrial and marine protection. For this a global protected area layer is created by combining the polygons and points recorded in the WDPA. Circular buffers are created around points based on the known extent of protected areas for which no polygon is available. Annual protected area layers are created by dissolving the global protected area layer by the known year of establishment of protected areas recorded in the WDPA. The annual protected area layers are overlaid with country/territory boundaries, coastlines and buffered coastlines (delineating the territorial waters) to obtain the absolute coverage (in square kilometers) of protected areas by country/territory. The total area of a country's/territory's terrestrial protected areas and marine protected areas in territorial waters is divided by the total area of its land areas (including inland waters) and territorial waters to obtain the relative coverage (percentage) of protected areas.","^5:","Weighted average","^5<","Annual","^5?","The International Union for Conservation of Nature (IUCN) defines a protected area as \"a clearly defined geographical space, recognized, dedicated and managed, through legal or other effective means, to achieve the long-term conservation of nature with associated ecosystem services and cultural values.\"\n\nTerrestrial protected areas are totally or partially protected areas of at least 1,000 hectares that are designated by national authorities as scientific reserves with limited public access, national parks, natural monuments, nature reserves or wildlife sanctuaries, protected landscapes, and areas managed mainly for sustainable use. Nationally protected terrestrial are terrestrial areas as a percentage of total territorial area, where all nationally designated protected areas with known location and extent are included.\n\nAs threats to biodiversity mount, the international community is increasingly focusing on conserving diversity. Deforestation is a major cause of loss of biodiversity, and habitat conservation is vital for stemming this loss. Conservation efforts have focused on protecting areas of high biodiversity. Increasing the proportion of terrestrial and marine areas protected helps defend vulnerable plant and animal species and safeguard biodiversity.\n \nProtected areas remain the fundamental building blocks of virtually all national and international conservation strategies, supported by governments and international institutions. They provide the core of efforts to protect the world's threatened species and are increasingly recognized as essential providers of ecosystem services and biological resources. Some sites are owned and managed by governments, others by private individuals, companies, communities and faith groups.\n\nThe Sustainable Development Goals (SDGs) address concerns common to all economies. In recognition of the vulnerability of animal and plant species, SDGs include targets 14 and 15 to highlight the importance of marine and terrestorial protected areas. Increasing the proportion of terrestrial and marine areas protected helps defend vulnerable plant and animal species and safeguard biodiversity.","^4W","World Database on Protected Areas (WDPA) where the compilation and management is carried out by United Nations Environment World Conservation Monitoring Centre (UNEP-WCMC) in collaboration with governments, non-governmental organizations, academia and industry. The data is available online through the Protected Planet website (https://www.protectedplanet.net/).","^4Y","Terrestrial protected areas are totally or partially protected areas of at least 1,000 hectares that are designated by national authorities as scientific reserves with limited public access, national parks, natural monuments, nature reserves or wildlife sanctuaries, protected landscapes, and areas managed mainly for sustainable use. Marine areas, unclassified areas, littoral (intertidal) areas, and sites protected under local or provincial law are excluded.","^4R","https://web.archive.org/web/20220510201529/https://www.protectedplanet.net/c/terms-and-conditions","^4Z","Terrestrial protected areas are totally or partially protected areas of at least 1,000 hectares that are designated by national authorities as scientific reserves with limited public access, national parks, natural monuments, nature reserves or wildlife sanctuaries, protected landscapes, and areas managed mainly for sustainable use. Marine areas, unclassified areas, littoral (intertidal) areas, and sites protected under local or provincial law are excluded.","^4V","Environment: Biodiversity & protected areas","^4Q","Use and distribution of these data are subject to Protected Planet terms and conditions.","^5B","The data source for this indicator is the World Database on Protected Areas (WDPA), the most comprehensive global dataset on marine and terrestrial protected areas available. \n\nThe extent to which the land areas, including inland waters, and territorial waters of a country/territory are protected is useful for planning purpose to protect biodiversity. However, it is neither an indication of how well managed the terrestrial and marine protected areas are, nor confirmation that protection measures are effectively enforced. Further, the indicator does not provide information on non-designated or internationally designated protected areas that may also be important for conserving biodiversity. There are known data and knowledge gaps for some countries/regions due to difficulties in reporting national protected area data to the WDPA and/or determining whether a site conforms to the IUCN definition of a protected area.\n\nGaps and/or time lags in reporting national protected area data to the WDPA can however result in discrepancies, which are resolved in communication with data providers. The World Conservation Monitoring Centre (WCMC) compiles data on protected areas, numbers of certain species, and numbers of those species under threat from various sources. Because of differences in definitions, reporting practices, and reporting periods, cross-country comparability is limited.\n\nDue to variations in consistency and methods of collection, data quality is highly variable across countries. Some countries update their information more frequently than others, some have more accurate data on extent of coverage, and many underreport the number or extent of protected areas.","^51","Terrestrial protected areas","^50","World Database on Protected Areas (WDPA) where the compilation and management is carried out by United Nations Environment World Conservation Monitoring Centre (UNEP-WCMC) in collaboration with governments, non-governmental organizations, academia and industry. The data is available online through the Protected Planet website (https://www.protectedplanet.net/).","^4[","Terrestrial protected areas (% of total land area)","^52","Terrestrial protected areas (% of total land area)"]],"^4[",["^ ","^2","atom","^3","Terrestrial protected areas (% of total land area)"],"id",["^ ","^2","atom","^3","ER.LND.PTLD.ZS"],"^53",["^ ","^2","atom","^3",[2021,["MU","BI","BJ","VI","LB","MA","TL","LA","MR","DE","ID","GE","TN","AW","BR","MF","ME","BW","EC","RO","GR","BB","PK","NC","ST","BD","SR","ES","PF","GW","TG","SX","BY","TR","US","IE","UA","BN","MW","JP","AM","MC","SY","IT","AL","HT","CG","KI","MK","PT","AF","CV","FR","CF","CR","GN","IL","CO","BS","VN","PE","NA","ML","SS","PS","KM","MV","AS","IN","LS","DJ","LV","TM","IQ","PW","KY","SC","ZA","LY","BO","FO","HN","GM","ZM","MT","CL","KP","YE","PL","TC","CD","JO","SK","NO","ZW","KN","NI","PR","SV","IM","SZ","AG","SL","AO","LU","GT","GQ","AZ","CY","CZ","ET","EE","HR","TT","RU","CN","MH","TZ","FI","DK","PY","CH","RW","FJ","KZ","TO","KW","VE","FM","NZ","BF","BG","SA","BE","UY","MX","DO","MN","DM","GH","AR","CA","IR","BZ","NG","CM","MM","LI","SD","MY","WS","VG","AT","SB","SE","KH","PA","LR","AD","MP","MD","LT","JM","GL","PG","VU","AE","SN","CU","BA","TJ","LC","VC","KE","MG","BM","GA","GI","KG","AU","DZ","UZ","UG","SG","IS","HK","RS","SI","GY","CI","NL","HU","OM","GB","EG","TH","LK","CW","MZ","NP","KR","TD","GU","QA","GD","BT","TV","PH","BH","NE"]]],"^54",["^ ","^2","atom","^3",["ER.H2O.FWIN.ZS","ER.H2O.INTR.PC","ER.GDP.FWTL.M3.KD","ER.FSH.CAPT.MT","ER.H2O.FWST.ZS","ER.H2O.FWAG.ZS","ER.PTD.TOTL.ZS","ER.H2O.FWTL.ZS","ER.MRN.PTMR.ZS"]],"^51",["^ ","^2","atom","^3","Terrestrial protected areas"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Terrestrial protected areas are totally or partially protected areas of at least 1,000 hectares that are designated by national authorities as scientific reserves with limited public access, national parks, natural monuments, nature reserves or wildlife sanctuaries, protected landscapes, and areas managed mainly for sustainable use. Marine areas, unclassified areas, littoral (intertidal) areas, and sites protected under local or provincial law are excluded."],"^50",["^ ","^2","atom","^3","World Database on Protected Areas (WDPA) where the compilation and management is carried out by United Nations Environment World Conservation Monitoring Centre (UNEP-WCMC) in collaboration with governments, non-governmental organizations, academia and industry. The data is available online through the Protected Planet website (https://www.protectedplanet.net/)."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://www.protectedplanet.net/"],"^57",["^ ","^2","atom","^3",[["^ ","id","19","^3","Climate Change"],["^ ","id","6","^3","Environment "]]],"^58",["^ ","^2","atom","^3","percent"]],"^3P",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",2],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Public Sector: Government finance","^5<","Annual","^5?","The indicator attempts to capture the reliability of government budgets: do governments spend what they intend to and do they collect what they set out to collect. The ability to implement the enacted budget is an important factor in government’s ability to deliver public services and achieve development objectives. The deviation between approved and actual spending is measured over a 12-month period (the budget year) and may have important implications for macroeconomic stability, public service delivery, and social welfare. A credibly implemented budget has only small deviations from the approved one. If expenditure is under-executed, beneficiaries may not receive crucial services. Over-executed budgets may result in budget deficits and increased public debt levels and can influence the macroeconomic stability. In both cases, lack of budget credibility undermines the usefulness of the budget process for policy making and implementation and erodes public trust in government.","^4W","Public Expenditure and Financial Accountability (PEFA). Ministry of Finance (MoF).","^4Y","Primary government expenditures as a proportion of original approved budget measures the extent to which aggregate budget expenditure outturn reflects the amount originally approved, as defined in government budget documentation and fiscal reports. The coverage is budgetary central government (BCG) and the time period covered is the last three completed fiscal years.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Primary government expenditures as a proportion of original approved budget measures the extent to which aggregate budget expenditure outturn reflects the amount originally approved, as defined in government budget documentation and fiscal reports. The coverage is budgetary central government (BCG) and the time period covered is the last three completed fiscal years.","^4Q","CC BY-4.0","^4[","Primary government expenditures as a proportion of original approved budget (%)","^50","Public Expenditure and Financial Accountability (PEFA). Ministry of Finance (MoF).","^51","Primary government expenditures as a proportion of original approved budget","^52","Primary government expenditures as a proportion of original approved budget (%)"]],"^4[",["^ ","^2","atom","^3","Primary government expenditures as a proportion of original approved budget (%)"],"id",["^ ","^2","atom","^3","GF.XPD.BUDG.ZS"],"^53",["^ ","^2","atom","^3",[2020,["XK","TN","BR","EC","RO","TR","IT","AL","HT","MK","PE","PS","LV","ZM","CL","PL","SV","GT","RU","FI","KW","BG","SA","GH","BZ","NG","LT","JM","SI","EG"]]],"^54",["^ ","^2","atom","^3",["GB.XPD.RSDV.GD.ZS","GC.XPN.TOTL.GD.ZS","GC.TAX.TOTL.CN","GC.TAX.YPKG.CN","GC.REV.GOTR.ZS","GC.DOD.TOTL.GD.ZS","GC.XPN.TOTL.CN","GC.XPN.INTP.ZS","GC.REV.SOCL.ZS"]],"^51",["^ ","^2","atom","^3","Primary government expenditures as a proportion of original approved budget"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Primary government expenditures as a proportion of original approved budget measures the extent to which aggregate budget expenditure outturn reflects the amount originally approved, as defined in government budget documentation and fiscal reports. The coverage is budgetary central government (BCG) and the time period covered is the last three completed fiscal years."],"^50",["^ ","^2","atom","^3","Public Expenditure and Financial Accountability (PEFA). Ministry of Finance (MoF)."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","13","^3","Public Sector "]]],"^58",["^ ","^2","atom","^3","percent"]],"^3Q",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","5.2"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^4V","Private Sector & Trade: Business environment","^59","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.","^5:","Unweighted average","^5<","Annual","^4[","Bribery incidence (% of firms experiencing at least one bribe payment request)","^5?","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\nCorruption by public officials may present a major administrative and financial burden on firms. Corruption creates an unfavorable business environment by undermining the operational efficiency of firms and raising the costs and risks associated with doing business.\n\nIn some countries doing business requires informal payments to \"get things done\" in customs, taxes, licenses, regulations, services, and the like. Such corruption can harm the business environment by distorting policymaking, undermining government credibility, and diverting public resources.","^4W","World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).","^4Y","Bribery incidence is the percentage of firms experiencing at least one bribe payment request across 6 public transactions dealing with utilities access, permits, licenses, and taxes.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Bribery incidence is the percentage of firms experiencing at least one bribe payment request across 6 public transactions dealing with utilities access, permits, licenses, and taxes.","^4Q","CC BY-4.0","^5B","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.","^5C","All surveys were administered using the Enterprise Surveys methodology as outlined in the Methodology page which can be found from www.enterprisesurveys.org.","^50","World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).","^51","Bribery incidence","^52","Bribery incidence (% of firms experiencing at least one bribe payment request)"]],"^4[",["^ ","^2","atom","^3","Bribery incidence (% of firms experiencing at least one bribe payment request)"],"id",["^ ","^2","atom","^3","IC.FRM.BRIB.ZS"],"^53",["^ ","^2","atom","^3",[2020,["TN","IE","AM","ZT","ZA","T3","T2","XG","LU","FI","DK","T4","BE","SE","T5","T7","NL","EG","T6"]]],"^54",["^ ","^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"]],"^51",["^ ","^2","atom","^3","Bribery incidence"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Bribery incidence is the percentage of firms experiencing at least one bribe payment request across 6 public transactions dealing with utilities access, permits, licenses, and taxes."],"^50",["^ ","^2","atom","^3","World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/)."],"^56",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/http://www.enterprisesurveys.org/"],"^57",["^ ","^2","atom","^3",[["^ ","id","12","^3","Private Sector"]]],"^58",["^ ","^2","atom","^3","percent"]],"^3R",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","2.12"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^59","Health systems - the combined arrangements of institutions and actions whose primary purpose is to promote, restore, or maintain health (World Health Organization, World Health Report 2000) - are increasingly being recognized as key to combating disease and improving the health status of populations. The World Bank's Healthy Development: Strategy for Health, Nutrition, and Population Results emphasizes the need to strengthen health systems, which are weak in many countries, in order to increase the effectiveness of programs aimed at reducing specific diseases and further reduce morbidity and mortality. To evaluate health systems, the World Health Organization (WHO) has recommended that key components - such as financing, service delivery, workforce, governance, and information - be monitored using several key indicators. The data are a subset of the key indicators. Monitoring health systems allows the effectiveness, efficiency, and equity of different health system models to be compared. Health system data also help identify weaknesses and strengths and areas that need investment, such as additional health facilities, better health information systems, or better trained human resources.\n\nNumerous indicators have been proposed to assess a country's health information system.They can be grouped into two broad types: indicators related to data generation using core sources and methods (health surveys, civil registration, censuses, facility reporting, health system resource tracking) and indicators related to capacity for data synthesis, analysis, and validation. Indicators related to data generation reflect a country's capacity to collect relevant data at suitable intervals using the most appropriate data sources. Benchmarks include periodicity, timeliness, contents, and availability. Indicators related to capacity for synthesis, analysis, and validation measure the dimensions of the institutional frameworks needed to ensure data quality, including independence, transparency, and access. Benchmarks include the availability of independent coordination mechanisms and micro- and meta-data. Indicators related to data generation include completeness of birth registration.\n\nBirth registration refers to the permanent and official recording of a child's existence by some administrative levels of the State that is normally coordinated by a particular branch of the government.\n\nCompleteness of birth registration indicator is related to the group of indictors of data generation.","^5:","Weighted average","^5<","Annual","^4V","Health: Population: Dynamics","^4W","UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.","^4Y","Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.","^4Q","CC BY-4.0","^4[","Completeness of birth registration (%)","^50","UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.","^51","Completeness of birth registration","^52","Completeness of birth registration (%)"]],"^4[",["^ ","^2","atom","^3","Completeness of birth registration (%)"],"id",["^ ","^2","atom","^3","SP.REG.BRTH.ZS"],"^53",["^ ","^2","atom","^3",[2021,["ID","FJ"]]],"^54",["^ ","^2","atom","^3",["SP.REG.BRTH.MA.ZS","SP.REG.BRTH.UR.ZS","SP.REG.BRTH.FE.ZS","SP.REG.BRTH.RU.ZS","SP.REG.DTHS.ZS","SP.POP.2529.FE.5Y","SP.DYN.TO65.FE.ZS","SP.POP.DPND","SP.POP.65UP.TO.ZS"]],"^51",["^ ","^2","atom","^3","Completeness of birth registration"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered."],"^50",["^ ","^2","atom","^3","UNICEF's State of the World's Children based mostly on household surveys and ministry of health data."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "]]],"^58",["^ ","^2","atom","^3","percent"]],"^3S",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^59","Health systems - the combined arrangements of institutions and actions whose primary purpose is to promote, restore, or maintain health (World Health Organization, World Health Report 2000) - are increasingly being recognized as key to combating disease and improving the health status of populations. The World Bank's Healthy Development: Strategy for Health, Nutrition, and Population Results emphasizes the need to strengthen health systems, which are weak in many countries, in order to increase the effectiveness of programs aimed at reducing specific diseases and further reduce morbidity and mortality. To evaluate health systems, the World Health Organization (WHO) has recommended that key components - such as financing, service delivery, workforce, governance, and information - be monitored using several key indicators. The data are a subset of the key indicators. Monitoring health systems allows the effectiveness, efficiency, and equity of different health system models to be compared. Health system data also help identify weaknesses and strengths and areas that need investment, such as additional health facilities, better health information systems, or better trained human resources.\n\nNumerous indicators have been proposed to assess a country's health information system.They can be grouped into two broad types: indicators related to data generation using core sources and methods (health surveys, civil registration, censuses, facility reporting, health system resource tracking) and indicators related to capacity for data synthesis, analysis, and validation. Indicators related to data generation reflect a country's capacity to collect relevant data at suitable intervals using the most appropriate data sources. Benchmarks include periodicity, timeliness, contents, and availability. Indicators related to capacity for synthesis, analysis, and validation measure the dimensions of the institutional frameworks needed to ensure data quality, including independence, transparency, and access. Benchmarks include the availability of independent coordination mechanisms and micro- and meta-data. Indicators related to data generation include completeness of birth registration.\n\nBirth registration refers to the permanent and official recording of a child's existence by some administrative levels of the State that is normally coordinated by a particular branch of the government.\n\nCompleteness of birth registration indicator is related to the group of indictors of data generation.","^5<","Annual","^4V","Health: Population: Dynamics","^4W","UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.","^4Y","Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.","^4Q","CC BY-4.0","^4[","Completeness of birth registration, rural (%)","^50","UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.","^51","Completeness of birth registration, rural","^52","Completeness of birth registration, rural (%)"]],"^4[",["^ ","^2","atom","^3","Completeness of birth registration, rural (%)"],"id",["^ ","^2","atom","^3","SP.REG.BRTH.RU.ZS"],"^53",["^ ","^2","atom","^3",[2021,["ID"]]],"^54",["^ ","^2","atom","^3",["SP.REG.BRTH.MA.ZS","SP.REG.BRTH.ZS","SP.REG.BRTH.UR.ZS","SP.REG.BRTH.FE.ZS","SP.REG.DTHS.ZS","SP.POP.2529.FE.5Y","SP.DYN.TO65.FE.ZS","SP.POP.DPND","SP.POP.65UP.TO.ZS"]],"^51",["^ ","^2","atom","^3","Completeness of birth registration, rural"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered."],"^50",["^ ","^2","atom","^3","UNICEF's State of the World's Children based mostly on household surveys and ministry of health data."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "]]],"^58",["^ ","^2","atom","^3","percent"]],"^3T",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",0],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^59","Health systems - the combined arrangements of institutions and actions whose primary purpose is to promote, restore, or maintain health (World Health Organization, World Health Report 2000) - are increasingly being recognized as key to combating disease and improving the health status of populations. The World Bank's Healthy Development: Strategy for Health, Nutrition, and Population Results emphasizes the need to strengthen health systems, which are weak in many countries, in order to increase the effectiveness of programs aimed at reducing specific diseases and further reduce morbidity and mortality. To evaluate health systems, the World Health Organization (WHO) has recommended that key components - such as financing, service delivery, workforce, governance, and information - be monitored using several key indicators. The data are a subset of the key indicators. Monitoring health systems allows the effectiveness, efficiency, and equity of different health system models to be compared. Health system data also help identify weaknesses and strengths and areas that need investment, such as additional health facilities, better health information systems, or better trained human resources.\n\nNumerous indicators have been proposed to assess a country's health information system.They can be grouped into two broad types: indicators related to data generation using core sources and methods (health surveys, civil registration, censuses, facility reporting, health system resource tracking) and indicators related to capacity for data synthesis, analysis, and validation. Indicators related to data generation reflect a country's capacity to collect relevant data at suitable intervals using the most appropriate data sources. Benchmarks include periodicity, timeliness, contents, and availability. Indicators related to capacity for synthesis, analysis, and validation measure the dimensions of the institutional frameworks needed to ensure data quality, including independence, transparency, and access. Benchmarks include the availability of independent coordination mechanisms and micro- and meta-data. Indicators related to data generation include completeness of birth registration.\n\nBirth registration refers to the permanent and official recording of a child's existence by some administrative levels of the State that is normally coordinated by a particular branch of the government.\n\nCompleteness of birth registration indicator is related to the group of indictors of data generation.","^5<","Annual","^4V","Health: Population: Dynamics","^4W","UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.","^4Y","Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.","^4Q","CC BY-4.0","^4[","Completeness of birth registration, urban (%)","^50","UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.","^51","Completeness of birth registration, urban","^52","Completeness of birth registration, urban (%)"]],"^4[",["^ ","^2","atom","^3","Completeness of birth registration, urban (%)"],"id",["^ ","^2","atom","^3","SP.REG.BRTH.UR.ZS"],"^53",["^ ","^2","atom","^3",[2021,["ID"]]],"^54",["^ ","^2","atom","^3",["SP.REG.BRTH.MA.ZS","SP.REG.BRTH.ZS","SP.REG.BRTH.FE.ZS","SP.REG.BRTH.RU.ZS","SP.REG.DTHS.ZS","SP.POP.2529.FE.5Y","SP.DYN.TO65.FE.ZS","SP.POP.DPND","SP.POP.65UP.TO.ZS"]],"^51",["^ ","^2","atom","^3","Completeness of birth registration, urban"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered."],"^50",["^ ","^2","atom","^3","UNICEF's State of the World's Children based mostly on household surveys and ministry of health data."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","8","^3","Health "]]],"^58",["^ ","^2","atom","^3","percent"]],"^3U",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^5@","Debt service (public and publicly guaranteed and IMF only, % of exports of goods, services and primary income)","^4V","Economic Policy & Debt: External debt: Debt service","^4W","World Bank, International Debt Statistics.","^4Y","Debt service, the sum of principal repayments and interest actually paid in currency, goods, or services, is expressed as a percentage of exports of goods and services--all transactions between residents of a country and the rest of the world involving a change of ownership from residents to nonresidents of general merchandise, net exports of goods under merchanting, nonmonetary gold, and services. This series differs from the standard debt to exports series in that it covers only long-term public and publicly guaranteed debt and repayments (repurchases and charges) to the IMF.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Debt service (PPG and IMF only, % of exports of goods, services and primary income)","^4Q","CC BY-4.0","^4[","Debt service (PPG and IMF only, % of exports of goods, services and primary income)","^50","Debt service is the sum of principle repayments and interest actually paid in currency, goods, or services. This series differs from the standard debt to exports series. It covers only long-term public and publicly guaranteed debt and repayments (repurchases and charges) to the IMF. Exports of goods and services include primary income, but do not include workers' remittances.","^51","Debt service","^52","Debt service to exports (%)"]],"^4[",["^ ","^2","atom","^3","Debt service (PPG and IMF only, % of exports of goods, services and primary income)"],"id",["^ ","^2","atom","^3","DT.TDS.DPPF.XP.ZS"],"^53",["^ ","^2","atom","^3",[2020,["MU","LB","MA","XK","TL","LA","MR","ID","GE","TN","BR","ME","BW","EC","RO","PK","ST","BD","BY","TR","UA","MW","AM","ZT","AL","MK","AF","CV","CR","GN","CO","VN","PE","KM","MV","IN","LS","DJ","ZA","T3","BO","HN","GM","ZM","CD","T2","JO","ZW","XG","NI","SV","SZ","AO","GT","AZ","ET","RU","CN","TZ","PY","RW","FJ","KZ","T4","TO","BG","MX","DO","MN","DM","GH","AR","IR","BZ","NG","CM","SD","WS","SB","KH","PA","LR","MD","T5","JM","PG","VU","BA","TJ","LC","VC","KE","MG","KG","DZ","UZ","UG","RS","T7","GY","EG","TH","LK","MZ","NP","GD","BT","PH","T6"]]],"^54",["^ ","^2","atom","^3",["DT.TDS.MLAT.CD","DT.TDS.DIMF.CD","DT.TDS.DECT.EX.ZS","DT.TDS.DECT.GN.ZS","DT.TDS.DPPG.CD","DT.TDS.DECT.CD","DT.TDS.MLAT.PG.ZS","DT.TDS.DPPG.GN.ZS","DT.TDS.DPPG.XP.ZS"]],"^51",["^ ","^2","atom","^3","Debt service"],"^55",["^ ","^2","atom","^3","2"],"^4Z",["^ ","^2","atom","^3","Debt service (PPG and IMF only, % of exports of goods, services and primary income)"],"^50",["^ ","^2","atom","^3","Debt service is the sum of principle repayments and interest actually paid in currency, goods, or services. This series differs from the standard debt to exports series. It covers only long-term public and publicly guaranteed debt and repayments (repurchases and charges) to the IMF. Exports of goods and services include primary income, but do not include workers' remittances."],"^56",["^ ","^2","atom"],"^57",["^ ","^2","atom","^3",[["^ ","id","20","^3","External Debt"]]],"^58",["^ ","^2","atom","^3","percent"]],"^3V",["^ ","^4Q",["^ ","^2","atom","^3","CC BY-4.0"],"^4R",["^ ","^2","atom","^3","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by"],"^4S",["^ ","^2","atom","^3","5.6"],"^4T",["^ ","^2","atom","^3",1],"^4U",["^ ","^2","atom"],"en",["^ ","^2","atom","^3",["^ ","^59","The IMF's Government Finance Statistics Manual 2014, harmonized with the 2008 SNA, recommends an accrual accounting method, focusing on all economic events affecting assets, liabilities, revenues, and expenses, not just those represented by cash transactions. It accounts for all changes in stocks, so stock data at the end of an accounting period equal stock data at the beginning of the period plus flows over the period. The 1986 manual considered only debt stocks.\n\nGovernment finance statistics are reported in local currency. Many countries report government finance data by fiscal year; see country metadata for information on fiscal year end by country.","^5:","Weighted average","^5<","Annual","^4V","Public Sector: Government finance: Revenue","^4W","International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.","^4Y","Tax revenue refers to compulsory transfers to the central government for public purposes. Certain compulsory transfers such as fines, penalties, and most social security contributions are excluded. Refunds and corrections of erroneously collected tax revenue are treated as negative revenue.","^4R","https://web.archive.org/web/20220510201529/https://datacatalog.worldbank.org/public-licenses#cc-by","^4Z","Tax revenue refers to compulsory transfers to the central government for public purposes. Certain compulsory transfers such as fines, penalties, and most social security contributions are excluded. Refunds and corrections of erroneously collected tax revenue are treated as negative revenue.","^4Q","CC BY-4.0","^5B","For most countries central government finance data have been consolidated into one account, but for others only budgetary central government accounts are available. Countries reporting budgetary data are noted in the country metadata. Because budgetary accounts may not include all central government units (such as social security funds), they usually provide an incomplete picture. In federal states the central government accounts provide an incomplete view of total public finance.\n\nData on government revenue and expense are collected by the IMF through questionnaires to member countries and by the Organisation for Economic Co-operation and Development (OECD). 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