<data>
<row _id="1"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Access to clean fuels and technologies for cooking (% of population)</Series Name><Series Code>EG.CFT.ACCS.ZS</Series Code><2010 [YR2010]>35.59</2010 [YR2010]><2011 [YR2011]>36.85</2011 [YR2011]><2012 [YR2012]>38.13</2012 [YR2012]><2013 [YR2013]>39.47</2013 [YR2013]><2014 [YR2014]>40.74</2014 [YR2014]><2015 [YR2015]>42.13</2015 [YR2015]><2016 [YR2016]>43.32</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="2"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Access to electricity (% of population)</Series Name><Series Code>EG.ELC.ACCS.ZS</Series Code><2010 [YR2010]>70.4218444824219</2010 [YR2010]><2011 [YR2011]>70.5071563720703</2011 [YR2011]><2012 [YR2012]>70.6360931396484</2012 [YR2012]><2013 [YR2013]>70.799934387207</2013 [YR2013]><2014 [YR2014]>70.9899444580078</2014 [YR2014]><2015 [YR2015]>71.1974105834961</2015 [YR2015]><2016 [YR2016]>71.4135971069336</2016 [YR2016]><2017 [YR2017]>70.79</2017 [YR2017]><2018 [YR2018]>71.0915467008027</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="3"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Access to electricity, rural (% of rural population)</Series Name><Series Code>EG.ELC.ACCS.RU.ZS</Series Code><2010 [YR2010]>55.9047516351846</2010 [YR2010]><2011 [YR2011]>55.6803622791098</2011 [YR2011]><2012 [YR2012]>55.5370240052054</2012 [YR2012]><2013 [YR2013]>55.4551396654669</2013 [YR2013]><2014 [YR2014]>55.4063496736075</2014 [YR2014]><2015 [YR2015]>55.3690033720352</2015 [YR2015]><2016 [YR2016]>55.3277929638166</2016 [YR2016]><2017 [YR2017]>54.1368324356</2017 [YR2017]><2018 [YR2018]>54.3931808351517</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="4"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Access to electricity, urban (% of urban population)</Series Name><Series Code>EG.ELC.ACCS.UR.ZS</Series Code><2010 [YR2010]>97.2632446289063</2010 [YR2010]><2011 [YR2011]>97.6796035766602</2011 [YR2011]><2012 [YR2012]>98.1066131591797</2012 [YR2012]><2013 [YR2013]>98.5421524047852</2013 [YR2013]><2014 [YR2014]>98.9840850830078</2014 [YR2014]><2015 [YR2015]>99.4302825927734</2015 [YR2015]><2016 [YR2016]>99.8786087036133</2016 [YR2016]><2017 [YR2017]>100</2017 [YR2017]><2018 [YR2018]>100</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="5"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Adjusted net savings, excluding particulate emission damage (% of GNI)</Series Name><Series Code>NY.ADJ.SVNX.GN.ZS</Series Code><2010 [YR2010]>4.8589815715454</2010 [YR2010]><2011 [YR2011]>4.99031418658319</2011 [YR2011]><2012 [YR2012]>4.00913708840472</2012 [YR2012]><2013 [YR2013]>5.59390504684114</2013 [YR2013]><2014 [YR2014]>6.38498631622464</2014 [YR2014]><2015 [YR2015]>8.532343804136</2015 [YR2015]><2016 [YR2016]>8.13794224198323</2016 [YR2016]><2017 [YR2017]>5.75305546534374</2017 [YR2017]><2018 [YR2018]>4.760284177508</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="6"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Adolescent fertility rate (births per 1,000 women ages 15-19)</Series Name><Series Code>SP.ADO.TFRT</Series Code><2010 [YR2010]>42.3362</2010 [YR2010]><2011 [YR2011]>41.9206</2011 [YR2011]><2012 [YR2012]>41.505</2012 [YR2012]><2013 [YR2013]>40.9644</2013 [YR2013]><2014 [YR2014]>40.4238</2014 [YR2014]><2015 [YR2015]>39.8832</2015 [YR2015]><2016 [YR2016]>39.3426</2016 [YR2016]><2017 [YR2017]>38.802</2017 [YR2017]><2018 [YR2018]>38.2106</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="7"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Adolescents out of school (% of lower secondary school age)</Series Name><Series Code>SE.SEC.UNER.LO.ZS</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="8"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Adolescents out of school, female (% of female lower secondary school age)</Series Name><Series Code>SE.SEC.UNER.LO.FE.ZS</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="9"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Adolescents out of school, male (% of male lower secondary school age)</Series Name><Series Code>SE.SEC.UNER.LO.MA.ZS</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="10"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Agriculture, forestry, and fishing, value added per worker (constant 2010 US$)</Series Name><Series Code>NV.AGR.EMPL.KD</Series Code><2010 [YR2010]>1660.5143108841</2010 [YR2010]><2011 [YR2011]>1646.09531761651</2011 [YR2011]><2012 [YR2012]>1687.51001532813</2012 [YR2012]><2013 [YR2013]>1723.74030134639</2013 [YR2013]><2014 [YR2014]>1706.25332474021</2014 [YR2014]><2015 [YR2015]>1748.10151060251</2015 [YR2015]><2016 [YR2016]>1667.50575329277</2016 [YR2016]><2017 [YR2017]>1773.20621680388</2017 [YR2017]><2018 [YR2018]>1928.04026547081</2018 [YR2018]><2019 [YR2019]>1914.95486233451</2019 [YR2019]></row>
<row _id="11"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Air transport, freight (million ton-km)</Series Name><Series Code>IS.AIR.GOOD.MT.K1</Series Code><2010 [YR2010]>332.957297192</2010 [YR2010]><2011 [YR2011]>297.683519787229</2011 [YR2011]><2012 [YR2012]>286.075685790508</2012 [YR2012]><2013 [YR2013]>292.760800570437</2013 [YR2013]><2014 [YR2014]>204.623134285262</2014 [YR2014]><2015 [YR2015]>183.17731267</2015 [YR2015]><2016 [YR2016]>175.4744</2016 [YR2016]><2017 [YR2017]>214.52857</2017 [YR2017]><2018 [YR2018]>217.534134</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="12"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Air transport, passengers carried</Series Name><Series Code>IS.AIR.PSGR</Series Code><2010 [YR2010]>6588114</2010 [YR2010]><2011 [YR2011]>7940545.07551206</2011 [YR2011]><2012 [YR2012]>7973906.36067277</2012 [YR2012]><2013 [YR2013]>7833901.08773203</2013 [YR2013]><2014 [YR2014]>7670348.18543139</2014 [YR2014]><2015 [YR2015]>8467827</2015 [YR2015]><2016 [YR2016]>9628354</2016 [YR2016]><2017 [YR2017]>7260769</2017 [YR2017]><2018 [YR2018]>6880637</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="13"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Annual freshwater withdrawals, agriculture (% of total freshwater withdrawal)</Series Name><Series Code>ER.H2O.FWAG.ZS</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>93.97656037</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>93.97656037</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="14"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Annual freshwater withdrawals, domestic (% of total freshwater withdrawal)</Series Name><Series Code>ER.H2O.FWDM.ZS</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>5.2602889071</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>5.2602889071</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="15"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Annual freshwater withdrawals, industry (% of total freshwater withdrawal)</Series Name><Series Code>ER.H2O.FWIN.ZS</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>0.7631507223</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>0.7631507223</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="16"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Annual freshwater withdrawals, total (% of internal resources)</Series Name><Series Code>ER.H2O.FWTL.ZS</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>341.6</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>363.636363636364</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="17"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Children in employment, female (% of female children ages 7-14)</Series Name><Series Code>SL.TLF.0714.FE.ZS</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>13.5</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="18"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Children in employment, male (% of male children ages 7-14)</Series Name><Series Code>SL.TLF.0714.MA.ZS</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>12.5</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="19"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Children out of school (% of primary school age)</Series Name><Series Code>SE.PRM.UNER.ZS</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="20"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Children out of school, female (% of female primary school age)</Series Name><Series Code>SE.PRM.UNER.FE.ZS</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="21"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Children out of school, male (% of male primary school age)</Series Name><Series Code>SE.PRM.UNER.MA.ZS</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="22"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>CO2 emissions (kg per 2010 US$ of GDP)</Series Name><Series Code>EN.ATM.CO2E.KD.GD</Series Code><2010 [YR2010]>0.956544072027759</2010 [YR2010]><2011 [YR2011]>0.9427622514784</2011 [YR2011]><2012 [YR2012]>0.902917953129589</2012 [YR2012]><2013 [YR2013]>0.888941929030357</2013 [YR2013]><2014 [YR2014]>0.885948320361883</2014 [YR2014]><2015 [YR2015]>0.874342076992635</2015 [YR2015]><2016 [YR2016]>0.883952420765117</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="23"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>CO2 emissions (kg per 2017 PPP $ of GDP)</Series Name><Series Code>EN.ATM.CO2E.PP.GD.KD</Series Code><2010 [YR2010]>0.24175361523252</2010 [YR2010]><2011 [YR2011]>0.238270445936169</2011 [YR2011]><2012 [YR2012]>0.228200336827857</2012 [YR2012]><2013 [YR2013]>0.224668085203106</2013 [YR2013]><2014 [YR2014]>0.223911490980886</2014 [YR2014]><2015 [YR2015]>0.220978169479205</2015 [YR2015]><2016 [YR2016]>0.223407054272459</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="24"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>CO2 emissions (kg per PPP $ of GDP)</Series Name><Series Code>EN.ATM.CO2E.PP.GD</Series Code><2010 [YR2010]>0.242784151445842</2010 [YR2010]><2011 [YR2011]>0.234389953657781</2011 [YR2011]><2012 [YR2012]>0.226043442557537</2012 [YR2012]><2013 [YR2013]>0.222786809273158</2013 [YR2013]><2014 [YR2014]>0.220354057991427</2014 [YR2014]><2015 [YR2015]>0.216194393908888</2015 [YR2015]><2016 [YR2016]>0.223993452050693</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="25"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>CO2 emissions (metric tons per capita)</Series Name><Series Code>EN.ATM.CO2E.PC</Series Code><2010 [YR2010]>0.944500917240236</2010 [YR2010]><2011 [YR2011]>0.936048030214716</2011 [YR2011]><2012 [YR2012]>0.908401634491612</2012 [YR2012]><2013 [YR2013]>0.914224403319914</2013 [YR2013]><2014 [YR2014]>0.933991502857107</2014 [YR2014]><2015 [YR2015]>0.945421161804379</2015 [YR2015]><2016 [YR2016]>0.987832347653372</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="26"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Coal rents (% of GDP)</Series Name><Series Code>NY.GDP.COAL.RT.ZS</Series Code><2010 [YR2010]>0.0863300900027819</2010 [YR2010]><2011 [YR2011]>0.0973561529865469</2011 [YR2011]><2012 [YR2012]>0.0561600793280512</2012 [YR2012]><2013 [YR2013]>0.0491787969723129</2013 [YR2013]><2014 [YR2014]>0.0445111727110593</2014 [YR2014]><2015 [YR2015]>0.0387875069699265</2015 [YR2015]><2016 [YR2016]>0.041346187894034</2016 [YR2016]><2017 [YR2017]>0.051086203206097</2017 [YR2017]><2018 [YR2018]>0.0623161533642672</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="27"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Completeness of birth registration, rural (%)</Series Name><Series Code>SP.REG.BRTH.RU.ZS</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>22.8</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>33.6</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="28"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Completeness of birth registration, urban (%)</Series Name><Series Code>SP.REG.BRTH.UR.ZS</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>59.3</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>60.3</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="29"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Coverage of social safety net programs in richest quintile (% of population)</Series Name><Series Code>per_sa_allsa.cov_q5_tot</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>5.26312859296884</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>1.04976428535547</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="30"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Coverage of social safety net programs in poorest quintile (% of population)</Series Name><Series Code>per_sa_allsa.cov_q1_tot</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>19.7029894250613</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>21.1084136975792</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="31"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Coverage of social safety net programs (% of population)</Series Name><Series Code>per_sa_allsa.cov_pop_tot</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>11.1955738186767</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>10.3594673999368</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="32"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Coverage of social safety net programs in 2nd quintile (% of population)</Series Name><Series Code>per_sa_allsa.cov_q2_tot</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>13.0175505891941</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>13.9865187976305</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="33"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Coverage of social safety net programs in 3rd quintile (% of population)</Series Name><Series Code>per_sa_allsa.cov_q3_tot</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>10.8713796255394</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>10.6222800700307</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="34"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Coverage of social safety net programs in 4th quintile (% of population)</Series Name><Series Code>per_sa_allsa.cov_q4_tot</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>7.12471940795963</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>5.03538782212039</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="35"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Coverage of unemployment benefits and ALMP (% of population)</Series Name><Series Code>per_lm_alllm.cov_pop_tot</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="36"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Coverage of unemployment benefits and ALMP in 2nd quintile (% of population)</Series Name><Series Code>per_lm_alllm.cov_q2_tot</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="37"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Coverage of unemployment benefits and ALMP in 3rd quintile (% of population)</Series Name><Series Code>per_lm_alllm.cov_q3_tot</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="38"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Coverage of unemployment benefits and ALMP in 4th quintile (% of population)</Series Name><Series Code>per_lm_alllm.cov_q4_tot</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="39"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Coverage of unemployment benefits and ALMP in poorest quintile (% of population)</Series Name><Series Code>per_lm_alllm.cov_q1_tot</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="40"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Coverage of unemployment benefits and ALMP in richest quintile (% of population)</Series Name><Series Code>per_lm_alllm.cov_q5_tot</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="41"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Droughts, floods, extreme temperatures (% of population, average 1990-2009)</Series Name><Series Code>EN.CLC.MDAT.ZS</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="42"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Disaster risk reduction progress score (1-5 scale; 5=best)</Series Name><Series Code>EN.CLC.DRSK.XQ</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>3.5</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="43"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Educational attainment, at least Bachelor's or equivalent, population 25+, total (%) (cumulative)</Series Name><Series Code>SE.TER.CUAT.BA.ZS</Series Code><2010 [YR2010]>6.97446012496948</2010 [YR2010]><2011 [YR2011]>7.36818981170654</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="44"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Employment in agriculture (% of total employment) (modeled ILO estimate)</Series Name><Series Code>SL.AGR.EMPL.ZS</Series Code><2010 [YR2010]>43.3899993896484</2010 [YR2010]><2011 [YR2011]>43.4900016784668</2011 [YR2011]><2012 [YR2012]>42.8899993896484</2012 [YR2012]><2013 [YR2013]>42.2400016784668</2013 [YR2013]><2014 [YR2014]>42.2299995422363</2014 [YR2014]><2015 [YR2015]>41.0099983215332</2015 [YR2015]><2016 [YR2016]>42.2700004577637</2016 [YR2016]><2017 [YR2017]>39.8600006103516</2017 [YR2017]><2018 [YR2018]>37.4199981689453</2018 [YR2018]><2019 [YR2019]>36.9199981689453</2019 [YR2019]></row>
<row _id="45"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Employment in agriculture, female (% of female employment) (modeled ILO estimate)</Series Name><Series Code>SL.AGR.EMPL.FE.ZS</Series Code><2010 [YR2010]>74.0899963378906</2010 [YR2010]><2011 [YR2011]>74.4700012207031</2011 [YR2011]><2012 [YR2012]>74.8300018310547</2012 [YR2012]><2013 [YR2013]>75.1699981689453</2013 [YR2013]><2014 [YR2014]>73.1999969482422</2014 [YR2014]><2015 [YR2015]>72.0800018310547</2015 [YR2015]><2016 [YR2016]>73.2399978637695</2016 [YR2016]><2017 [YR2017]>69.9899978637695</2017 [YR2017]><2018 [YR2018]>66.4300003051758</2018 [YR2018]><2019 [YR2019]>65.1800003051758</2019 [YR2019]></row>
<row _id="46"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Employment in agriculture, male (% of male employment) (modeled ILO estimate)</Series Name><Series Code>SL.AGR.EMPL.MA.ZS</Series Code><2010 [YR2010]>35.4599990844727</2010 [YR2010]><2011 [YR2011]>35.310001373291</2011 [YR2011]><2012 [YR2012]>34.4099998474121</2012 [YR2012]><2013 [YR2013]>33.4900016784668</2013 [YR2013]><2014 [YR2014]>33.7900009155273</2014 [YR2014]><2015 [YR2015]>32.5699996948242</2015 [YR2015]><2016 [YR2016]>34.0999984741211</2016 [YR2016]><2017 [YR2017]>32.1100006103516</2017 [YR2017]><2018 [YR2018]>30.1499996185303</2018 [YR2018]><2019 [YR2019]>29.7399997711182</2019 [YR2019]></row>
<row _id="47"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Employment in industry (% of total employment) (modeled ILO estimate)</Series Name><Series Code>SL.IND.EMPL.ZS</Series Code><2010 [YR2010]>21.4200000762939</2010 [YR2010]><2011 [YR2011]>21.7700004577637</2011 [YR2011]><2012 [YR2012]>22.3199996948242</2012 [YR2012]><2013 [YR2013]>22.9200000762939</2013 [YR2013]><2014 [YR2014]>22.8700008392334</2014 [YR2014]><2015 [YR2015]>24.0200004577637</2015 [YR2015]><2016 [YR2016]>23.5900001525879</2016 [YR2016]><2017 [YR2017]>24.2900009155273</2017 [YR2017]><2018 [YR2018]>24.9899997711182</2018 [YR2018]><2019 [YR2019]>24.9599990844727</2019 [YR2019]></row>
<row _id="48"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Employment in industry, female (% of female employment) (modeled ILO estimate)</Series Name><Series Code>SL.IND.EMPL.FE.ZS</Series Code><2010 [YR2010]>11.5100002288818</2010 [YR2010]><2011 [YR2011]>11.4200000762939</2011 [YR2011]><2012 [YR2012]>11.2700004577637</2012 [YR2012]><2013 [YR2013]>11.1300001144409</2013 [YR2013]><2014 [YR2014]>12.9499998092651</2014 [YR2014]><2015 [YR2015]>14.5100002288818</2015 [YR2015]><2016 [YR2016]>14.0600004196167</2016 [YR2016]><2017 [YR2017]>15.2399997711182</2017 [YR2017]><2018 [YR2018]>16.4699993133545</2018 [YR2018]><2019 [YR2019]>16.8199996948242</2019 [YR2019]></row>
<row _id="49"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Employment in industry, male (% of male employment) (modeled ILO estimate)</Series Name><Series Code>SL.IND.EMPL.MA.ZS</Series Code><2010 [YR2010]>23.9799995422363</2010 [YR2010]><2011 [YR2011]>24.5</2011 [YR2011]><2012 [YR2012]>25.25</2012 [YR2012]><2013 [YR2013]>26.0599994659424</2013 [YR2013]><2014 [YR2014]>25.5799999237061</2014 [YR2014]><2015 [YR2015]>26.6000003814697</2015 [YR2015]><2016 [YR2016]>26.1100006103516</2016 [YR2016]><2017 [YR2017]>26.6200008392334</2017 [YR2017]><2018 [YR2018]>27.1200008392334</2018 [YR2018]><2019 [YR2019]>27.0300006866455</2019 [YR2019]></row>
<row _id="50"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Employment in services (% of total employment) (modeled ILO estimate)</Series Name><Series Code>SL.SRV.EMPL.ZS</Series Code><2010 [YR2010]>35.189998626709</2010 [YR2010]><2011 [YR2011]>34.7400016784668</2011 [YR2011]><2012 [YR2012]>34.7900009155273</2012 [YR2012]><2013 [YR2013]>34.8400001525879</2013 [YR2013]><2014 [YR2014]>34.8899993896484</2014 [YR2014]><2015 [YR2015]>34.9700012207031</2015 [YR2015]><2016 [YR2016]>34.1300010681152</2016 [YR2016]><2017 [YR2017]>35.8499984741211</2017 [YR2017]><2018 [YR2018]>37.5999984741211</2018 [YR2018]><2019 [YR2019]>38.1300010681152</2019 [YR2019]></row>
<row _id="51"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Employment in services, female (% of female employment) (modeled ILO estimate)</Series Name><Series Code>SL.SRV.EMPL.FE.ZS</Series Code><2010 [YR2010]>14.3999996185303</2010 [YR2010]><2011 [YR2011]>14.1099996566772</2011 [YR2011]><2012 [YR2012]>13.8999996185303</2012 [YR2012]><2013 [YR2013]>13.710000038147</2013 [YR2013]><2014 [YR2014]>13.8500003814697</2014 [YR2014]><2015 [YR2015]>13.4200000762939</2015 [YR2015]><2016 [YR2016]>12.6999998092651</2016 [YR2016]><2017 [YR2017]>14.7799997329712</2017 [YR2017]><2018 [YR2018]>17.1100006103516</2018 [YR2018]><2019 [YR2019]>18.0100002288818</2019 [YR2019]></row>
<row _id="52"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Energy intensity level of primary energy (MJ/$2011 PPP GDP)</Series Name><Series Code>EG.EGY.PRIM.PP.KD</Series Code><2010 [YR2010]>4.87211626720081</2010 [YR2010]><2011 [YR2011]>4.77746601054816</2011 [YR2011]><2012 [YR2012]>4.6689875457403</2012 [YR2012]><2013 [YR2013]>4.58216155222553</2013 [YR2013]><2014 [YR2014]>4.53627480631908</2014 [YR2014]><2015 [YR2015]>4.42216271628902</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="53"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Employment in services, male (% of male employment) (modeled ILO estimate)</Series Name><Series Code>SL.SRV.EMPL.MA.ZS</Series Code><2010 [YR2010]>40.560001373291</2010 [YR2010]><2011 [YR2011]>40.189998626709</2011 [YR2011]><2012 [YR2012]>40.3400001525879</2012 [YR2012]><2013 [YR2013]>40.4599990844727</2013 [YR2013]><2014 [YR2014]>40.6399993896484</2014 [YR2014]><2015 [YR2015]>40.8199996948242</2015 [YR2015]><2016 [YR2016]>39.7900009155273</2016 [YR2016]><2017 [YR2017]>41.2700004577637</2017 [YR2017]><2018 [YR2018]>42.7299995422363</2018 [YR2018]><2019 [YR2019]>43.2400016784668</2019 [YR2019]></row>
<row _id="54"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Exports of goods and services (% of GDP)</Series Name><Series Code>NE.EXP.GNFS.ZS</Series Code><2010 [YR2010]>13.5162678459051</2010 [YR2010]><2011 [YR2011]>13.966669657767</2011 [YR2011]><2012 [YR2012]>12.3966627590851</2012 [YR2012]><2013 [YR2013]>13.2771534315669</2013 [YR2013]><2014 [YR2014]>12.2425836268349</2014 [YR2014]><2015 [YR2015]>10.6044113782278</2015 [YR2015]><2016 [YR2016]>9.14572693911771</2016 [YR2016]><2017 [YR2017]>8.2573202960672</2017 [YR2017]><2018 [YR2018]>8.97196644517372</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="55"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Exports of goods and services (annual % growth)</Series Name><Series Code>NE.EXP.GNFS.KD.ZG</Series Code><2010 [YR2010]>15.7076600053526</2010 [YR2010]><2011 [YR2011]>2.37219779416206</2011 [YR2011]><2012 [YR2012]>-15.0008424168123</2012 [YR2012]><2013 [YR2013]>13.5808344507817</2013 [YR2013]><2014 [YR2014]>-1.48017625396784</2014 [YR2014]><2015 [YR2015]>-6.3435284744512</2015 [YR2015]><2016 [YR2016]>-1.60330440209253</2016 [YR2016]><2017 [YR2017]>-0.642384050993741</2017 [YR2017]><2018 [YR2018]>12.6793885195133</2018 [YR2018]><2019 [YR2019]>14.493801685587</2019 [YR2019]></row>
<row _id="56"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Forest area (% of land area)</Series Name><Series Code>AG.LND.FRST.ZS</Series Code><2010 [YR2010]>5.31046336654213</2010 [YR2010]><2011 [YR2011]>5.26865919468659</2011 [YR2011]><2012 [YR2012]>5.22685502283105</2012 [YR2012]><2013 [YR2013]>5.18505085097551</2013 [YR2013]><2014 [YR2014]>5.14324667911997</2014 [YR2014]><2015 [YR2015]>5.10144250726443</2015 [YR2015]><2016 [YR2016]>5.01795350767954</2016 [YR2016]><2017 [YR2017]>4.99418845994188</2017 [YR2017]><2018 [YR2018]>4.94056143628061</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="57"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Forest area (sq. km)</Series Name><Series Code>AG.LND.FRST.K2</Series Code><2010 [YR2010]>40937.3</2010 [YR2010]><2011 [YR2011]>40615.04</2011 [YR2011]><2012 [YR2012]>40292.78</2012 [YR2012]><2013 [YR2013]>39970.52</2013 [YR2013]><2014 [YR2014]>39648.26</2014 [YR2014]><2015 [YR2015]>39326</2015 [YR2015]><2016 [YR2016]>38682.4</2016 [YR2016]><2017 [YR2017]>38499.2</2017 [YR2017]><2018 [YR2018]>38085.8</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="58"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>GNI per capita (US$)</Series Name><Series Code>NY.GNP.MKTP.PC.CD</Series Code><2010 [YR2010]>969.117921083455</2010 [YR2010]><2011 [YR2011]>1148.52041703888</2011 [YR2011]><2012 [YR2012]>1180.78213998245</2012 [YR2012]><2013 [YR2013]>1189.72129239008</2013 [YR2013]><2014 [YR2014]>1230.91391583887</2014 [YR2014]><2015 [YR2015]>1333.60668169812</2015 [YR2015]><2016 [YR2016]>1342.20538804461</2016 [YR2016]><2017 [YR2017]>1440.87555690569</2017 [YR2017]><2018 [YR2018]>1456.68542684436</2018 [YR2018]><2019 [YR2019]>1258.79761607462</2019 [YR2019]></row>
<row _id="59"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>GNI per capita growth (annual %)</Series Name><Series Code>NY.GNP.PCAP.KD.ZG</Series Code><2010 [YR2010]>0.16036789099654</2010 [YR2010]><2011 [YR2011]>0.989152001473911</2011 [YR2011]><2012 [YR2012]>1.31664408255602</2012 [YR2012]><2013 [YR2013]>2.08517198259773</2013 [YR2013]><2014 [YR2014]>2.4688138169501</2014 [YR2014]><2015 [YR2015]>2.48025599171136</2015 [YR2015]><2016 [YR2016]>3.09850924889786</2016 [YR2016]><2017 [YR2017]>3.66102448700734</2017 [YR2017]><2018 [YR2018]>3.60340504627072</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="60"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Inflation, consumer prices (annual %)</Series Name><Series Code>FP.CPI.TOTL.ZG</Series Code><2010 [YR2010]>12.938870563489</2010 [YR2010]><2011 [YR2011]>11.9160927116277</2011 [YR2011]><2012 [YR2012]>9.6823518605568</2012 [YR2012]><2013 [YR2013]>7.6921561189957</2013 [YR2013]><2014 [YR2014]>7.18938402847025</2014 [YR2014]><2015 [YR2015]>2.52932817254226</2015 [YR2015]><2016 [YR2016]>3.76511916356584</2016 [YR2016]><2017 [YR2017]>4.08537368032604</2017 [YR2017]><2018 [YR2018]>5.07805725868917</2018 [YR2018]><2019 [YR2019]>10.5783618004555</2019 [YR2019]></row>
<row _id="61"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Industry (including construction), value added per worker (constant 2010 US$)</Series Name><Series Code>NV.IND.EMPL.KD</Series Code><2010 [YR2010]>2849.02152553067</2010 [YR2010]><2011 [YR2011]>2854.81309477327</2011 [YR2011]><2012 [YR2012]>2785.94367707116</2012 [YR2012]><2013 [YR2013]>2678.10330857969</2013 [YR2013]><2014 [YR2014]>2708.80284550037</2014 [YR2014]><2015 [YR2015]>2642.66548506955</2015 [YR2015]><2016 [YR2016]>2791.96623535518</2016 [YR2016]><2017 [YR2017]>2782.02158532137</2017 [YR2017]><2018 [YR2018]>2776.55096813859</2018 [YR2018]><2019 [YR2019]>2647.09396185803</2019 [YR2019]></row>
<row _id="62"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Investment in water and sanitation with private participation (current US$)</Series Name><Series Code>IE.PPI.WATR.CD</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="63"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Level of water stress: freshwater withdrawal as a proportion of available freshwater resources</Series Name><Series Code>ER.H2O.FWST.ZS</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>102.500488</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="64"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Manufacturing, value added (% of GDP)</Series Name><Series Code>NV.IND.MANF.ZS</Series Code><2010 [YR2010]>13.0748605838059</2010 [YR2010]><2011 [YR2011]>13.8301058630674</2011 [YR2011]><2012 [YR2012]>14.0158331878383</2012 [YR2012]><2013 [YR2013]>13.5681120600402</2013 [YR2013]><2014 [YR2014]>13.5424307987606</2014 [YR2014]><2015 [YR2015]>12.792088958229</2015 [YR2015]><2016 [YR2016]>12.080755043235</2016 [YR2016]><2017 [YR2017]>11.9985389245606</2017 [YR2017]><2018 [YR2018]>12.1841004275962</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="65"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Manufacturing, value added (current US$)</Series Name><Series Code>NV.IND.MANF.CD</Series Code><2010 [YR2010]>23164159788.7406</2010 [YR2010]><2011 [YR2011]>29539365353.5338</2011 [YR2011]><2012 [YR2012]>31449233996.304</2012 [YR2012]><2013 [YR2013]>31371994298.4631</2013 [YR2013]><2014 [YR2014]>33092404258.3144</2014 [YR2014]><2015 [YR2015]>34609781049.1571</2015 [YR2015]><2016 [YR2016]>33663584201.7042</2016 [YR2016]><2017 [YR2017]>36543620428.9585</2017 [YR2017]><2018 [YR2018]>38327225176.0885</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="66"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Medium and high-tech Industry (including construction) (% manufacturing value added)</Series Name><Series Code>NV.MNF.TECH.ZS.UN</Series Code><2010 [YR2010]>24.6154652720983</2010 [YR2010]><2011 [YR2011]>24.6154652720983</2011 [YR2011]><2012 [YR2012]>24.6154652720983</2012 [YR2012]><2013 [YR2013]>24.6154652720983</2013 [YR2013]><2014 [YR2014]>24.6154652720983</2014 [YR2014]><2015 [YR2015]>24.6154652720983</2015 [YR2015]><2016 [YR2016]>24.6154652720983</2016 [YR2016]><2017 [YR2017]>24.6154652720983</2017 [YR2017]><2018 [YR2018]>24.6154652720983</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="67"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Merchandise trade (% of GDP)</Series Name><Series Code>TG.VAL.TOTL.GD.ZS</Series Code><2010 [YR2010]>33.4246537000481</2010 [YR2010]><2011 [YR2011]>32.4902104321192</2011 [YR2011]><2012 [YR2012]>30.6047294121168</2012 [YR2012]><2013 [YR2013]>30.1740473748351</2013 [YR2013]><2014 [YR2014]>29.5959800971878</2014 [YR2014]><2015 [YR2015]>24.4891880969014</2015 [YR2015]><2016 [YR2016]>24.1237685996381</2016 [YR2016]><2017 [YR2017]>26.0418673254222</2017 [YR2017]><2018 [YR2018]>26.5453325496756</2018 [YR2018]><2019 [YR2019]>26.483536488299</2019 [YR2019]></row>
<row _id="68"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Primary government expenditures as a proportion of original approved budget (%)</Series Name><Series Code>GF.XPD.BUDG.ZS</Series Code><2010 [YR2010]>108.601452034658</2010 [YR2010]><2011 [YR2011]>114.758864182692</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>100.193897609087</2016 [YR2016]><2017 [YR2017]>88.6229554014088</2017 [YR2017]><2018 [YR2018]>102.493775433083</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="69"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Proportion of people living below 50 percent of median income (%)</Series Name><Series Code>SI.DST.50MD</Series Code><2010 [YR2010]>3.7</2010 [YR2010]><2011 [YR2011]>3.9</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>4.6</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>4.1</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>4.4</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="70"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Renewable electricity output (% of total electricity output)</Series Name><Series Code>EG.ELC.RNEW.ZS</Series Code><2010 [YR2010]>33.7038057297847</2010 [YR2010]><2011 [YR2011]>29.9894836470712</2011 [YR2011]><2012 [YR2012]>31.0605981794538</2012 [YR2012]><2013 [YR2013]>31.0061877858488</2013 [YR2013]><2014 [YR2014]>31.1025535574083</2014 [YR2014]><2015 [YR2015]>31.4303497172134</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="71"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Renewable energy consumption (% of total final energy consumption)</Series Name><Series Code>EG.FEC.RNEW.ZS</Series Code><2010 [YR2010]>46.7220403019112</2010 [YR2010]><2011 [YR2011]>46.0709404815021</2011 [YR2011]><2012 [YR2012]>46.5232355882553</2012 [YR2012]><2013 [YR2013]>47.4609520103179</2013 [YR2013]><2014 [YR2014]>46.6045297407692</2014 [YR2014]><2015 [YR2015]>46.4763249199424</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="72"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Renewable internal freshwater resources per capita (cubic meters)</Series Name><Series Code>ER.H2O.INTR.PC</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>293.675602458812</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>264.554481642868</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="73"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Renewable internal freshwater resources, total (billion cubic meters)</Series Name><Series Code>ER.H2O.INTR.K3</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>55</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>55</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="74"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Urban population (% of total population)</Series Name><Series Code>SP.URB.TOTL.IN.ZS</Series Code><2010 [YR2010]>34.997</2010 [YR2010]><2011 [YR2011]>35.202</2011 [YR2011]><2012 [YR2012]>35.408</2012 [YR2012]><2013 [YR2013]>35.613</2013 [YR2013]><2014 [YR2014]>35.819</2014 [YR2014]><2015 [YR2015]>36.026</2015 [YR2015]><2016 [YR2016]>36.234</2016 [YR2016]><2017 [YR2017]>36.442</2017 [YR2017]><2018 [YR2018]>36.666</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="75"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Urban population growth (annual %)</Series Name><Series Code>SP.URB.GROW</Series Code><2010 [YR2010]>2.78164748784569</2010 [YR2010]><2011 [YR2011]>2.74308354325209</2011 [YR2011]><2012 [YR2012]>2.71020097353863</2012 [YR2012]><2013 [YR2013]>2.6809268074333</2013 [YR2013]><2014 [YR2014]>2.66905119874016</2014 [YR2014]><2015 [YR2015]>2.66387059227339</2015 [YR2015]><2016 [YR2016]>2.66002136052852</2016 [YR2016]><2017 [YR2017]>2.64740189244981</2017 [YR2017]><2018 [YR2018]>2.66867436174866</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="76"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Wage and salaried workers, male (% of male employment) (modeled ILO estimate)</Series Name><Series Code>SL.EMP.WORK.MA.ZS</Series Code><2010 [YR2010]>40.7099990844727</2010 [YR2010]><2011 [YR2011]>41.1300010681152</2011 [YR2011]><2012 [YR2012]>42.4300003051758</2012 [YR2012]><2013 [YR2013]>43.7999992370605</2013 [YR2013]><2014 [YR2014]>43.3800010681152</2014 [YR2014]><2015 [YR2015]>43.3699989318848</2015 [YR2015]><2016 [YR2016]>42.5200004577637</2016 [YR2016]><2017 [YR2017]>44.5400009155273</2017 [YR2017]><2018 [YR2018]>46.6100006103516</2018 [YR2018]><2019 [YR2019]>47.2299995422363</2019 [YR2019]></row>
<row _id="77"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Water productivity, total (constant 2010 US$ GDP per cubic meter of total freshwater withdrawal)</Series Name><Series Code>ER.GDP.FWTL.M3.KD</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>1.00286826409193</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>1.20098107579138</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="78"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Annual freshwater withdrawals, total (billion cubic meters)</Series Name><Series Code>ER.H2O.FWTL.K3</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>187.88</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>200</2017 [YR2017]><2018 [YR2018]>..</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="79"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Annualized growth in per capita real survey mean consumption or income, bottom 40% (%)</Series Name><Series Code>SI.SPR.PC40.ZG</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>1.14</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="80"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Annualized growth in per capita real survey mean consumption or income, total population (%)</Series Name><Series Code>SI.SPR.PCAP.ZG</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>1.46</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="81"><Country Name>Pakistan</Country Name><Country Code>PAK</Country Code><Series Name>Bird species, threatened</Series Name><Series Code>EN.BIR.THRD.NO</Series Code><2010 [YR2010]>..</2010 [YR2010]><2011 [YR2011]>..</2011 [YR2011]><2012 [YR2012]>..</2012 [YR2012]><2013 [YR2013]>..</2013 [YR2013]><2014 [YR2014]>..</2014 [YR2014]><2015 [YR2015]>..</2015 [YR2015]><2016 [YR2016]>..</2016 [YR2016]><2017 [YR2017]>..</2017 [YR2017]><2018 [YR2018]>33</2018 [YR2018]><2019 [YR2019]>..</2019 [YR2019]></row>
<row _id="82"><Country Name /><Country Code /><Series Name /><Series Code /><2010 [YR2010] /><2011 [YR2011] /><2012 [YR2012] /><2013 [YR2013] /><2014 [YR2014] /><2015 [YR2015] /><2016 [YR2016] /><2017 [YR2017] /><2018 [YR2018] /><2019 [YR2019] /></row>
<row _id="83"><Country Name /><Country Code /><Series Name /><Series Code /><2010 [YR2010] /><2011 [YR2011] /><2012 [YR2012] /><2013 [YR2013] /><2014 [YR2014] /><2015 [YR2015] /><2016 [YR2016] /><2017 [YR2017] /><2018 [YR2018] /><2019 [YR2019] /></row>
<row _id="84"><Country Name /><Country Code /><Series Name /><Series Code /><2010 [YR2010] /><2011 [YR2011] /><2012 [YR2012] /><2013 [YR2013] /><2014 [YR2014] /><2015 [YR2015] /><2016 [YR2016] /><2017 [YR2017] /><2018 [YR2018] /><2019 [YR2019] /></row>
<row _id="85"><Country Name>Data from database: Sustainable Development Goals (SDGs)</Country Name><Country Code /><Series Name /><Series Code /><2010 [YR2010] /><2011 [YR2011] /><2012 [YR2012] /><2013 [YR2013] /><2014 [YR2014] /><2015 [YR2015] /><2016 [YR2016] /><2017 [YR2017] /><2018 [YR2018] /><2019 [YR2019] /></row>
<row _id="86"><Country Name>Last Updated: 03/22/2021</Country Name><Country Code /><Series Name /><Series Code /><2010 [YR2010] /><2011 [YR2011] /><2012 [YR2012] /><2013 [YR2013] /><2014 [YR2014] /><2015 [YR2015] /><2016 [YR2016] /><2017 [YR2017] /><2018 [YR2018] /><2019 [YR2019] /></row>
</data>
