class: center, middle, inverse, title-slide .title[ # Dimension Reduction: Introduction ] .author[ ### Anastasios Panagiotelis ] .institute[ ### University of Sydney ] --- # Housekeeping - Welcome to the course on dimension reduction! -- - The course is made up of 12 "lectures" and 4 tutorials each taking about roughly one hour. -- - All materials are available on a [github repository](https://github.com/anastasiospanagiotelis/DimensionReduction). -- - If you want to contact me after the course you can find my details on my [personal website](https://anastasiospanagiotelis.netlify.app/). --- class: inverse, center, middle # Motivation --- # High-dimensional data - Data are high-dimensional -- - Typically there are observations/cases and variables/features -- - High dimensional refers to a large number of variables/features. -- - How large? could be hundred, thousands or even infinite! --- # World Bank Data - Sourced from [World Bank](https://data.worldbank.org/indicator). -- - Observations on 121 countries -- - Variables are 65 indicators of economic and social well-being. -- <div style="border: 1px solid #ddd; padding: 0px; overflow-y: scroll; height:280px; "><table class="table table-striped table-hover table-condensed" style="font-size: 9px; margin-left: auto; margin-right: auto;"> <thead> <tr> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> Country Name </th> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> Country Code </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> FB.ATM.TOTL.P5 </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> FB.CBK.BRCH.P5 </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> BN.CAB.XOKA.GD.ZS </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> BN.CAB.XOKA.CD </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> IT.NET.BBND </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> IT.NET.BBND.P2 </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> IT.MLT.MAIN </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> IT.MLT.MAIN.P2 </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> BX.GSR.CCIS.ZS </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> BX.GSR.CCIS.CD </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> IT.NET.USER.ZS </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SP.DYN.LE00.FE.IN </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SP.DYN.LE00.MA.IN </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SP.DYN.LE00.IN </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> IT.CEL.SETS </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> IT.CEL.SETS.P2 </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.STA.TRAF.P5 </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.DYN.NCOM.ZS </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.DYN.NCOM.FE.ZS </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.DYN.NCOM.MA.ZS </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.STA.POIS.P5 </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.STA.POIS.P5.FE </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.STA.POIS.P5.MA </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SP.DYN.AMRT.FE </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SP.DYN.AMRT.MA </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SP.DYN.IMRT.IN </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SP.DYN.IMRT.FE.IN </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SP.DYN.IMRT.MA.IN </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.DYN.NMRT </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.DYN.MORT </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.DYN.MORT.FE </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.DYN.MORT.MA </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> BN.GSR.MRCH.CD </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> BN.GSR.GNFS.CD </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.DTH.1014 </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.DTH.1519 </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.DTH.2024 </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.DTH.0509 </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.DTH.IMRT </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.DTH.NMRT </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.DTH.MORT </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.ANM.CHLD.ZS </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.ANM.NPRG.ZS </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.PRG.ANEM </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.ANM.ALLW.ZS </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SE.PRM.ENRL </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SE.PRM.ENRL.FE.ZS </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.DYN.1014 </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.DYN.1519 </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.DYN.0509 </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.DYN.2024 </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> IP.JRN.ARTC.SC </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> IT.NET.SECR </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> IT.NET.SECR.P6 </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.STA.SUIC.P5 </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.STA.SUIC.FE.P5 </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SH.STA.SUIC.MA.P5 </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SP.DYN.TO65.FE.ZS </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SP.DYN.TO65.MA.ZS </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SL.UEM.TOTL.FE.ZS </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SL.UEM.TOTL.MA.ZS </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SL.UEM.TOTL.ZS </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SL.UEM.1524.FE.ZS </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SL.UEM.1524.MA.ZS </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> SL.UEM.1524.ZS </th> </tr> </thead> <tbody> <tr> <td style="text-align:left;"> Afghanistan </td> <td style="text-align:left;"> AFG </td> <td style="text-align:right;"> 0.92 </td> <td style="text-align:right;"> 2.1600000 </td> <td style="text-align:right;"> -21.0619026 </td> <td style="text-align:right;"> -4192816423 </td> <td style="text-align:right;"> 7067 </td> <td style="text-align:right;"> 0.0205355 </td> <td style="text-align:right;"> 110000 </td> <td style="text-align:right;"> 0.3196410 </td> <td style="text-align:right;"> 9.7865451 </td> <td style="text-align:right;"> 8.215225e+07 </td> <td style="text-align:right;"> 8.260000 </td> <td style="text-align:right;"> 64.877 </td> <td style="text-align:right;"> 61.965 </td> <td style="text-align:right;"> 63.37700 </td> <td style="text-align:right;"> 19709038 </td> <td style="text-align:right;"> 57.27107 </td> <td style="text-align:right;"> 14.4 </td> <td style="text-align:right;"> 35.6 </td> <td style="text-align:right;"> 35.7 </td> <td style="text-align:right;"> 35.4 </td> <td style="text-align:right;"> 1.1 </td> <td style="text-align:right;"> 1.9 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 206.746 </td> <td style="text-align:right;"> 248.724 </td> <td style="text-align:right;"> 53.2 </td> <td style="text-align:right;"> 49.5 </td> <td style="text-align:right;"> 56.6 </td> <td style="text-align:right;"> 40.3 </td> <td style="text-align:right;"> 70.4 </td> <td style="text-align:right;"> 66.7 </td> <td style="text-align:right;"> 74.0 </td> <td style="text-align:right;"> -6668317651 </td> <td style="text-align:right;"> -7044964161 </td> <td style="text-align:right;"> 2424 </td> <td style="text-align:right;"> 11125 </td> <td style="text-align:right;"> 11084 </td> <td style="text-align:right;"> 3514 </td> <td style="text-align:right;"> 62701 </td> <td style="text-align:right;"> 47981 </td> <td style="text-align:right;"> 82999 </td> <td style="text-align:right;"> 45.8 </td> <td style="text-align:right;"> 39.6 </td> <td style="text-align:right;"> 37.3 </td> <td style="text-align:right;"> 39.4 </td> <td style="text-align:right;"> 6199329.0 </td> <td style="text-align:right;"> 39.38989 </td> <td style="text-align:right;"> 2.6 </td> <td style="text-align:right;"> 13.6 </td> <td style="text-align:right;"> 3.4 </td> <td style="text-align:right;"> 17.1 </td> <td style="text-align:right;"> 22.20 </td> <td style="text-align:right;"> 74 </td> <td style="text-align:right;"> 2.1503125 </td> <td style="text-align:right;"> 4.0 </td> <td style="text-align:right;"> 3.6 </td> <td style="text-align:right;"> 4.3 </td> <td style="text-align:right;"> 66.26044 </td> <td style="text-align:right;"> 59.68709 </td> <td style="text-align:right;"> 14.450000 </td> <td style="text-align:right;"> 10.68 </td> <td style="text-align:right;"> 11.390000 </td> <td style="text-align:right;"> 21.86 </td> <td style="text-align:right;"> 16.66 </td> <td style="text-align:right;"> 17.78 </td> </tr> <tr> <td style="text-align:left;"> Albania </td> <td style="text-align:left;"> ALB </td> <td style="text-align:right;"> 35.26 </td> <td style="text-align:right;"> 22.0200000 </td> <td style="text-align:right;"> -8.6048856 </td> <td style="text-align:right;"> -979825099 </td> <td style="text-align:right;"> 242870 </td> <td style="text-align:right;"> 8.4023147 </td> <td style="text-align:right;"> 226718 </td> <td style="text-align:right;"> 7.8435212 </td> <td style="text-align:right;"> 4.9808893 </td> <td style="text-align:right;"> 1.120068e+08 </td> <td style="text-align:right;"> 63.252933 </td> <td style="text-align:right;"> 80.107 </td> <td style="text-align:right;"> 76.066 </td> <td style="text-align:right;"> 78.02500 </td> <td style="text-align:right;"> 3400955 </td> <td style="text-align:right;"> 117.65922 </td> <td style="text-align:right;"> 13.8 </td> <td style="text-align:right;"> 13.6 </td> <td style="text-align:right;"> 10.0 </td> <td style="text-align:right;"> 17.0 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 51.195 </td> <td style="text-align:right;"> 99.215 </td> <td style="text-align:right;"> 8.5 </td> <td style="text-align:right;"> 7.6 </td> <td style="text-align:right;"> 9.4 </td> <td style="text-align:right;"> 6.0 </td> <td style="text-align:right;"> 9.6 </td> <td style="text-align:right;"> 8.7 </td> <td style="text-align:right;"> 10.3 </td> <td style="text-align:right;"> -2548030268 </td> <td style="text-align:right;"> -1966180769 </td> <td style="text-align:right;"> 49 </td> <td style="text-align:right;"> 104 </td> <td style="text-align:right;"> 126 </td> <td style="text-align:right;"> 38 </td> <td style="text-align:right;"> 301 </td> <td style="text-align:right;"> 213 </td> <td style="text-align:right;"> 339 </td> <td style="text-align:right;"> 24.0 </td> <td style="text-align:right;"> 22.9 </td> <td style="text-align:right;"> 23.0 </td> <td style="text-align:right;"> 22.9 </td> <td style="text-align:right;"> 188371.0 </td> <td style="text-align:right;"> 47.11129 </td> <td style="text-align:right;"> 1.2 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 1.1 </td> <td style="text-align:right;"> 2.4 </td> <td style="text-align:right;"> 177.80 </td> <td style="text-align:right;"> 197 </td> <td style="text-align:right;"> 68.3860849 </td> <td style="text-align:right;"> 4.8 </td> <td style="text-align:right;"> 3.2 </td> <td style="text-align:right;"> 6.3 </td> <td style="text-align:right;"> 91.08442 </td> <td style="text-align:right;"> 83.94926 </td> <td style="text-align:right;"> 17.120001 </td> <td style="text-align:right;"> 17.25 </td> <td style="text-align:right;"> 17.190001 </td> <td style="text-align:right;"> 40.37 </td> <td style="text-align:right;"> 39.21 </td> <td style="text-align:right;"> 39.60 </td> </tr> <tr> <td style="text-align:left;"> Algeria </td> <td style="text-align:left;"> DZA </td> <td style="text-align:right;"> 8.35 </td> <td style="text-align:right;"> 5.2600000 </td> <td style="text-align:right;"> -16.2523400 </td> <td style="text-align:right;"> -27037635153 </td> <td style="text-align:right;"> 2269348 </td> <td style="text-align:right;"> 5.7122095 </td> <td style="text-align:right;"> 3267592 </td> <td style="text-align:right;"> 8.2249042 </td> <td style="text-align:right;"> 4.9819336 </td> <td style="text-align:right;"> 1.721828e+08 </td> <td style="text-align:right;"> 38.200000 </td> <td style="text-align:right;"> 77.306 </td> <td style="text-align:right;"> 74.917 </td> <td style="text-align:right;"> 76.09000 </td> <td style="text-align:right;"> 43227643 </td> <td style="text-align:right;"> 108.80894 </td> <td style="text-align:right;"> 21.2 </td> <td style="text-align:right;"> 14.3 </td> <td style="text-align:right;"> 13.3 </td> <td style="text-align:right;"> 15.2 </td> <td style="text-align:right;"> 0.7 </td> <td style="text-align:right;"> 0.6 </td> <td style="text-align:right;"> 0.9 </td> <td style="text-align:right;"> 84.440 </td> <td style="text-align:right;"> 107.191 </td> <td style="text-align:right;"> 21.6 </td> <td style="text-align:right;"> 20.2 </td> <td style="text-align:right;"> 22.9 </td> <td style="text-align:right;"> 15.0 </td> <td style="text-align:right;"> 25.2 </td> <td style="text-align:right;"> 23.7 </td> <td style="text-align:right;"> 26.6 </td> <td style="text-align:right;"> -17812024819 </td> <td style="text-align:right;"> -25384908362 </td> <td style="text-align:right;"> 1022 </td> <td style="text-align:right;"> 1622 </td> <td style="text-align:right;"> 2517 </td> <td style="text-align:right;"> 1435 </td> <td style="text-align:right;"> 21655 </td> <td style="text-align:right;"> 15251 </td> <td style="text-align:right;"> 25021 </td> <td style="text-align:right;"> 29.7 </td> <td style="text-align:right;"> 32.7 </td> <td style="text-align:right;"> 33.4 </td> <td style="text-align:right;"> 32.8 </td> <td style="text-align:right;"> 3925429.0 </td> <td style="text-align:right;"> 47.76413 </td> <td style="text-align:right;"> 1.7 </td> <td style="text-align:right;"> 2.7 </td> <td style="text-align:right;"> 1.9 </td> <td style="text-align:right;"> 3.5 </td> <td style="text-align:right;"> 4157.18 </td> <td style="text-align:right;"> 152 </td> <td style="text-align:right;"> 3.8260145 </td> <td style="text-align:right;"> 2.7 </td> <td style="text-align:right;"> 2.0 </td> <td style="text-align:right;"> 3.4 </td> <td style="text-align:right;"> 85.27939 </td> <td style="text-align:right;"> 81.31107 </td> <td style="text-align:right;"> 16.590000 </td> <td style="text-align:right;"> 9.94 </td> <td style="text-align:right;"> 11.210000 </td> <td style="text-align:right;"> 45.11 </td> <td style="text-align:right;"> 26.58 </td> <td style="text-align:right;"> 29.69 </td> </tr> <tr> <td style="text-align:left;"> Angola </td> <td style="text-align:left;"> AGO </td> <td style="text-align:right;"> 18.82 </td> <td style="text-align:right;"> 10.4400000 </td> <td style="text-align:right;"> -8.8411389 </td> <td style="text-align:right;"> -10272841903 </td> <td style="text-align:right;"> 153571 </td> <td style="text-align:right;"> 0.5507420 </td> <td style="text-align:right;"> 284925 </td> <td style="text-align:right;"> 1.0218086 </td> <td style="text-align:right;"> 2.4019170 </td> <td style="text-align:right;"> 3.017200e+07 </td> <td style="text-align:right;"> 12.400000 </td> <td style="text-align:right;"> 62.237 </td> <td style="text-align:right;"> 56.737 </td> <td style="text-align:right;"> 59.39800 </td> <td style="text-align:right;"> 13884532 </td> <td style="text-align:right;"> 49.79322 </td> <td style="text-align:right;"> 23.6 </td> <td style="text-align:right;"> 22.8 </td> <td style="text-align:right;"> 19.8 </td> <td style="text-align:right;"> 26.0 </td> <td style="text-align:right;"> 2.4 </td> <td style="text-align:right;"> 1.7 </td> <td style="text-align:right;"> 3.2 </td> <td style="text-align:right;"> 206.219 </td> <td style="text-align:right;"> 279.712 </td> <td style="text-align:right;"> 57.8 </td> <td style="text-align:right;"> 51.9 </td> <td style="text-align:right;"> 63.6 </td> <td style="text-align:right;"> 30.6 </td> <td style="text-align:right;"> 88.2 </td> <td style="text-align:right;"> 81.5 </td> <td style="text-align:right;"> 94.7 </td> <td style="text-align:right;"> 12488593164 </td> <td style="text-align:right;"> -3531471369 </td> <td style="text-align:right;"> 5020 </td> <td style="text-align:right;"> 8405 </td> <td style="text-align:right;"> 10753 </td> <td style="text-align:right;"> 10914 </td> <td style="text-align:right;"> 67296 </td> <td style="text-align:right;"> 36317 </td> <td style="text-align:right;"> 100919 </td> <td style="text-align:right;"> 51.3 </td> <td style="text-align:right;"> 44.4 </td> <td style="text-align:right;"> 49.5 </td> <td style="text-align:right;"> 45.0 </td> <td style="text-align:right;"> 5620915.0 </td> <td style="text-align:right;"> 46.86435 </td> <td style="text-align:right;"> 7.0 </td> <td style="text-align:right;"> 14.3 </td> <td style="text-align:right;"> 12.4 </td> <td style="text-align:right;"> 21.6 </td> <td style="text-align:right;"> 31.59 </td> <td style="text-align:right;"> 227 </td> <td style="text-align:right;"> 8.1407581 </td> <td style="text-align:right;"> 6.5 </td> <td style="text-align:right;"> 2.6 </td> <td style="text-align:right;"> 10.5 </td> <td style="text-align:right;"> 61.99256 </td> <td style="text-align:right;"> 49.30683 </td> <td style="text-align:right;"> 7.650000 </td> <td style="text-align:right;"> 6.88 </td> <td style="text-align:right;"> 7.260000 </td> <td style="text-align:right;"> 16.62 </td> <td style="text-align:right;"> 17.01 </td> <td style="text-align:right;"> 16.81 </td> </tr> <tr> <td style="text-align:left;"> Argentina </td> <td style="text-align:left;"> ARG </td> <td style="text-align:right;"> 47.51 </td> <td style="text-align:right;"> 13.2600000 </td> <td style="text-align:right;"> -2.9629267 </td> <td style="text-align:right;"> -17621985168 </td> <td style="text-align:right;"> 6855837 </td> <td style="text-align:right;"> 15.9158927 </td> <td style="text-align:right;"> 10073125 </td> <td style="text-align:right;"> 23.3848583 </td> <td style="text-align:right;"> 11.1514404 </td> <td style="text-align:right;"> 1.473497e+09 </td> <td style="text-align:right;"> 68.043064 </td> <td style="text-align:right;"> 79.434 </td> <td style="text-align:right;"> 72.614 </td> <td style="text-align:right;"> 76.06800 </td> <td style="text-align:right;"> 61842011 </td> <td style="text-align:right;"> 143.56683 </td> <td style="text-align:right;"> 13.9 </td> <td style="text-align:right;"> 16.5 </td> <td style="text-align:right;"> 12.5 </td> <td style="text-align:right;"> 20.8 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 0.7 </td> <td style="text-align:right;"> 82.139 </td> <td style="text-align:right;"> 152.240 </td> <td style="text-align:right;"> 10.2 </td> <td style="text-align:right;"> 9.2 </td> <td style="text-align:right;"> 11.2 </td> <td style="text-align:right;"> 6.6 </td> <td style="text-align:right;"> 11.5 </td> <td style="text-align:right;"> 10.3 </td> <td style="text-align:right;"> 12.6 </td> <td style="text-align:right;"> -785176393 </td> <td style="text-align:right;"> -6600221086 </td> <td style="text-align:right;"> 855 </td> <td style="text-align:right;"> 2646 </td> <td style="text-align:right;"> 3541 </td> <td style="text-align:right;"> 688 </td> <td style="text-align:right;"> 7705 </td> <td style="text-align:right;"> 5020 </td> <td style="text-align:right;"> 8640 </td> <td style="text-align:right;"> 21.4 </td> <td style="text-align:right;"> 11.7 </td> <td style="text-align:right;"> 20.9 </td> <td style="text-align:right;"> 12.1 </td> <td style="text-align:right;"> 4784446.0 </td> <td style="text-align:right;"> 49.06351 </td> <td style="text-align:right;"> 1.2 </td> <td style="text-align:right;"> 3.8 </td> <td style="text-align:right;"> 1.0 </td> <td style="text-align:right;"> 5.0 </td> <td style="text-align:right;"> 8370.01 </td> <td style="text-align:right;"> 5317 </td> <td style="text-align:right;"> 123.2728413 </td> <td style="text-align:right;"> 8.3 </td> <td style="text-align:right;"> 3.3 </td> <td style="text-align:right;"> 13.6 </td> <td style="text-align:right;"> 86.58386 </td> <td style="text-align:right;"> 76.16778 </td> <td style="text-align:right;"> 8.680000 </td> <td style="text-align:right;"> 6.84 </td> <td style="text-align:right;"> 7.610000 </td> <td style="text-align:right;"> 23.70 </td> <td style="text-align:right;"> 18.05 </td> <td style="text-align:right;"> 20.23 </td> </tr> <tr> <td style="text-align:left;"> Armenia </td> <td style="text-align:left;"> ARM </td> <td style="text-align:right;"> 60.56 </td> <td style="text-align:right;"> 23.4000000 </td> <td style="text-align:right;"> -2.6979549 </td> <td style="text-align:right;"> -284724291 </td> <td style="text-align:right;"> 286319 </td> <td style="text-align:right;"> 9.7868335 </td> <td style="text-align:right;"> 551366 </td> <td style="text-align:right;"> 18.8465565 </td> <td style="text-align:right;"> 8.6315117 </td> <td style="text-align:right;"> 1.305477e+08 </td> <td style="text-align:right;"> 59.100834 </td> <td style="text-align:right;"> 77.708 </td> <td style="text-align:right;"> 70.921 </td> <td style="text-align:right;"> 74.46700 </td> <td style="text-align:right;"> 3464490 </td> <td style="text-align:right;"> 118.42171 </td> <td style="text-align:right;"> 16.7 </td> <td style="text-align:right;"> 22.3 </td> <td style="text-align:right;"> 15.3 </td> <td style="text-align:right;"> 30.6 </td> <td style="text-align:right;"> 0.9 </td> <td style="text-align:right;"> 1.0 </td> <td style="text-align:right;"> 0.8 </td> <td style="text-align:right;"> 75.161 </td> <td style="text-align:right;"> 175.814 </td> <td style="text-align:right;"> 12.8 </td> <td style="text-align:right;"> 11.4 </td> <td style="text-align:right;"> 14.2 </td> <td style="text-align:right;"> 7.8 </td> <td style="text-align:right;"> 14.4 </td> <td style="text-align:right;"> 12.8 </td> <td style="text-align:right;"> 15.9 </td> <td style="text-align:right;"> -1186400674 </td> <td style="text-align:right;"> -1282841048 </td> <td style="text-align:right;"> 34 </td> <td style="text-align:right;"> 92 </td> <td style="text-align:right;"> 143 </td> <td style="text-align:right;"> 42 </td> <td style="text-align:right;"> 556 </td> <td style="text-align:right;"> 338 </td> <td style="text-align:right;"> 624 </td> <td style="text-align:right;"> 30.7 </td> <td style="text-align:right;"> 17.0 </td> <td style="text-align:right;"> 18.9 </td> <td style="text-align:right;"> 17.1 </td> <td style="text-align:right;"> 144549.0 </td> <td style="text-align:right;"> 46.89206 </td> <td style="text-align:right;"> 1.0 </td> <td style="text-align:right;"> 2.5 </td> <td style="text-align:right;"> 1.0 </td> <td style="text-align:right;"> 3.0 </td> <td style="text-align:right;"> 531.24 </td> <td style="text-align:right;"> 224 </td> <td style="text-align:right;"> 76.5667209 </td> <td style="text-align:right;"> 6.2 </td> <td style="text-align:right;"> 3.7 </td> <td style="text-align:right;"> 8.9 </td> <td style="text-align:right;"> 87.18437 </td> <td style="text-align:right;"> 72.01760 </td> <td style="text-align:right;"> 19.250000 </td> <td style="text-align:right;"> 17.39 </td> <td style="text-align:right;"> 18.260000 </td> <td style="text-align:right;"> 36.65 </td> <td style="text-align:right;"> 27.97 </td> <td style="text-align:right;"> 31.80 </td> </tr> <tr> <td style="text-align:left;"> Australia </td> <td style="text-align:left;"> AUS </td> <td style="text-align:right;"> 163.90 </td> <td style="text-align:right;"> 28.7500000 </td> <td style="text-align:right;"> -4.2138763 </td> <td style="text-align:right;"> -56958711795 </td> <td style="text-align:right;"> 6828000 </td> <td style="text-align:right;"> 28.5302389 </td> <td style="text-align:right;"> 8500000 </td> <td style="text-align:right;"> 35.5165540 </td> <td style="text-align:right;"> 4.1740882 </td> <td style="text-align:right;"> 2.291323e+09 </td> <td style="text-align:right;"> 84.560515 </td> <td style="text-align:right;"> 84.500 </td> <td style="text-align:right;"> 80.400 </td> <td style="text-align:right;"> 82.40000 </td> <td style="text-align:right;"> 25770000 </td> <td style="text-align:right;"> 107.67783 </td> <td style="text-align:right;"> 5.2 </td> <td style="text-align:right;"> 9.3 </td> <td style="text-align:right;"> 7.3 </td> <td style="text-align:right;"> 11.3 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 45.201 </td> <td style="text-align:right;"> 78.264 </td> <td style="text-align:right;"> 3.3 </td> <td style="text-align:right;"> 3.0 </td> <td style="text-align:right;"> 3.5 </td> <td style="text-align:right;"> 2.3 </td> <td style="text-align:right;"> 3.9 </td> <td style="text-align:right;"> 3.5 </td> <td style="text-align:right;"> 4.2 </td> <td style="text-align:right;"> -19012929788 </td> <td style="text-align:right;"> -27774866033 </td> <td style="text-align:right;"> 133 </td> <td style="text-align:right;"> 449 </td> <td style="text-align:right;"> 682 </td> <td style="text-align:right;"> 128 </td> <td style="text-align:right;"> 1021 </td> <td style="text-align:right;"> 739 </td> <td style="text-align:right;"> 1208 </td> <td style="text-align:right;"> 13.2 </td> <td style="text-align:right;"> 7.3 </td> <td style="text-align:right;"> 14.9 </td> <td style="text-align:right;"> 7.6 </td> <td style="text-align:right;"> 2140571.0 </td> <td style="text-align:right;"> 48.60404 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 1.5 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 2.0 </td> <td style="text-align:right;"> 52945.01 </td> <td style="text-align:right;"> 108937 </td> <td style="text-align:right;"> 4574.1108024 </td> <td style="text-align:right;"> 13.2 </td> <td style="text-align:right;"> 6.8 </td> <td style="text-align:right;"> 19.7 </td> <td style="text-align:right;"> 93.19371 </td> <td style="text-align:right;"> 88.87898 </td> <td style="text-align:right;"> 6.070000 </td> <td style="text-align:right;"> 6.04 </td> <td style="text-align:right;"> 6.050000 </td> <td style="text-align:right;"> 11.91 </td> <td style="text-align:right;"> 14.22 </td> <td style="text-align:right;"> 13.11 </td> </tr> <tr> <td style="text-align:left;"> Austria </td> <td style="text-align:left;"> AUT </td> <td style="text-align:right;"> 183.27 </td> <td style="text-align:right;"> 13.8000000 </td> <td style="text-align:right;"> 1.7374975 </td> <td style="text-align:right;"> 6634070795 </td> <td style="text-align:right;"> 2455500 </td> <td style="text-align:right;"> 28.2935384 </td> <td style="text-align:right;"> 3609900 </td> <td style="text-align:right;"> 41.5951310 </td> <td style="text-align:right;"> 9.4024800 </td> <td style="text-align:right;"> 5.554451e+09 </td> <td style="text-align:right;"> 83.940142 </td> <td style="text-align:right;"> 83.700 </td> <td style="text-align:right;"> 78.800 </td> <td style="text-align:right;"> 81.19024 </td> <td style="text-align:right;"> 13470623 </td> <td style="text-align:right;"> 155.21547 </td> <td style="text-align:right;"> 5.7 </td> <td style="text-align:right;"> 11.6 </td> <td style="text-align:right;"> 8.6 </td> <td style="text-align:right;"> 14.7 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 44.687 </td> <td style="text-align:right;"> 84.688 </td> <td style="text-align:right;"> 3.0 </td> <td style="text-align:right;"> 2.8 </td> <td style="text-align:right;"> 3.3 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 3.7 </td> <td style="text-align:right;"> 3.3 </td> <td style="text-align:right;"> 4.1 </td> <td style="text-align:right;"> 2541879167 </td> <td style="text-align:right;"> 13910547484 </td> <td style="text-align:right;"> 40 </td> <td style="text-align:right;"> 130 </td> <td style="text-align:right;"> 207 </td> <td style="text-align:right;"> 30 </td> <td style="text-align:right;"> 255 </td> <td style="text-align:right;"> 189 </td> <td style="text-align:right;"> 308 </td> <td style="text-align:right;"> 11.9 </td> <td style="text-align:right;"> 11.8 </td> <td style="text-align:right;"> 17.3 </td> <td style="text-align:right;"> 12.0 </td> <td style="text-align:right;"> 327816.8 </td> <td style="text-align:right;"> 48.51408 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 1.4 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 1.9 </td> <td style="text-align:right;"> 12911.21 </td> <td style="text-align:right;"> 26636 </td> <td style="text-align:right;"> 3081.9076309 </td> <td style="text-align:right;"> 16.0 </td> <td style="text-align:right;"> 7.6 </td> <td style="text-align:right;"> 24.8 </td> <td style="text-align:right;"> 92.34250 </td> <td style="text-align:right;"> 85.88590 </td> <td style="text-align:right;"> 5.310000 </td> <td style="text-align:right;"> 6.09 </td> <td style="text-align:right;"> 5.720000 </td> <td style="text-align:right;"> 10.00 </td> <td style="text-align:right;"> 11.04 </td> <td style="text-align:right;"> 10.56 </td> </tr> <tr> <td style="text-align:left;"> Azerbaijan </td> <td style="text-align:left;"> AZE </td> <td style="text-align:right;"> 36.20 </td> <td style="text-align:right;"> 10.6600000 </td> <td style="text-align:right;"> -0.4192136 </td> <td style="text-align:right;"> -222495000 </td> <td style="text-align:right;"> 1899456 </td> <td style="text-align:right;"> 19.7392324 </td> <td style="text-align:right;"> 1796027 </td> <td style="text-align:right;"> 18.6643936 </td> <td style="text-align:right;"> 1.9535165 </td> <td style="text-align:right;"> 8.681400e+07 </td> <td style="text-align:right;"> 77.000000 </td> <td style="text-align:right;"> 74.956 </td> <td style="text-align:right;"> 69.543 </td> <td style="text-align:right;"> 72.26600 </td> <td style="text-align:right;"> 10697132 </td> <td style="text-align:right;"> 111.16508 </td> <td style="text-align:right;"> 10.3 </td> <td style="text-align:right;"> 28.4 </td> <td style="text-align:right;"> 21.1 </td> <td style="text-align:right;"> 36.1 </td> <td style="text-align:right;"> 0.9 </td> <td style="text-align:right;"> 0.6 </td> <td style="text-align:right;"> 1.3 </td> <td style="text-align:right;"> 89.019 </td> <td style="text-align:right;"> 160.775 </td> <td style="text-align:right;"> 23.4 </td> <td style="text-align:right;"> 21.0 </td> <td style="text-align:right;"> 25.7 </td> <td style="text-align:right;"> 14.2 </td> <td style="text-align:right;"> 26.3 </td> <td style="text-align:right;"> 23.7 </td> <td style="text-align:right;"> 28.9 </td> <td style="text-align:right;"> 5812423000 </td> <td style="text-align:right;"> 1583558000 </td> <td style="text-align:right;"> 191 </td> <td style="text-align:right;"> 403 </td> <td style="text-align:right;"> 631 </td> <td style="text-align:right;"> 247 </td> <td style="text-align:right;"> 4147 </td> <td style="text-align:right;"> 2533 </td> <td style="text-align:right;"> 4659 </td> <td style="text-align:right;"> 24.5 </td> <td style="text-align:right;"> 34.6 </td> <td style="text-align:right;"> 35.2 </td> <td style="text-align:right;"> 34.6 </td> <td style="text-align:right;"> 551118.0 </td> <td style="text-align:right;"> 46.15745 </td> <td style="text-align:right;"> 1.5 </td> <td style="text-align:right;"> 2.8 </td> <td style="text-align:right;"> 1.8 </td> <td style="text-align:right;"> 3.5 </td> <td style="text-align:right;"> 451.68 </td> <td style="text-align:right;"> 321 </td> <td style="text-align:right;"> 33.2665205 </td> <td style="text-align:right;"> 4.1 </td> <td style="text-align:right;"> 1.6 </td> <td style="text-align:right;"> 6.6 </td> <td style="text-align:right;"> 83.39689 </td> <td style="text-align:right;"> 72.79368 </td> <td style="text-align:right;"> 5.870000 </td> <td style="text-align:right;"> 4.09 </td> <td style="text-align:right;"> 4.960000 </td> <td style="text-align:right;"> 15.59 </td> <td style="text-align:right;"> 11.29 </td> <td style="text-align:right;"> 13.31 </td> </tr> <tr> <td style="text-align:left;"> Belarus </td> <td style="text-align:left;"> BLR </td> <td style="text-align:right;"> 55.55 </td> <td style="text-align:right;"> 0.8921416 </td> <td style="text-align:right;"> -3.2434835 </td> <td style="text-align:right;"> -1831100000 </td> <td style="text-align:right;"> 2903497 </td> <td style="text-align:right;"> 30.7592636 </td> <td style="text-align:right;"> 4540676 </td> <td style="text-align:right;"> 48.1033216 </td> <td style="text-align:right;"> 15.0183862 </td> <td style="text-align:right;"> 1.004700e+09 </td> <td style="text-align:right;"> 62.230361 </td> <td style="text-align:right;"> 78.900 </td> <td style="text-align:right;"> 68.600 </td> <td style="text-align:right;"> 73.62439 </td> <td style="text-align:right;"> 11448281 </td> <td style="text-align:right;"> 121.28158 </td> <td style="text-align:right;"> 10.1 </td> <td style="text-align:right;"> 24.7 </td> <td style="text-align:right;"> 14.4 </td> <td style="text-align:right;"> 36.6 </td> <td style="text-align:right;"> 3.5 </td> <td style="text-align:right;"> 1.5 </td> <td style="text-align:right;"> 6.0 </td> <td style="text-align:right;"> 82.360 </td> <td style="text-align:right;"> 245.384 </td> <td style="text-align:right;"> 3.0 </td> <td style="text-align:right;"> 2.7 </td> <td style="text-align:right;"> 3.4 </td> <td style="text-align:right;"> 1.6 </td> <td style="text-align:right;"> 4.0 </td> <td style="text-align:right;"> 3.5 </td> <td style="text-align:right;"> 4.5 </td> <td style="text-align:right;"> -2142500000 </td> <td style="text-align:right;"> 132400000 </td> <td style="text-align:right;"> 71 </td> <td style="text-align:right;"> 191 </td> <td style="text-align:right;"> 435 </td> <td style="text-align:right;"> 79 </td> <td style="text-align:right;"> 349 </td> <td style="text-align:right;"> 188 </td> <td style="text-align:right;"> 461 </td> <td style="text-align:right;"> 24.8 </td> <td style="text-align:right;"> 19.4 </td> <td style="text-align:right;"> 23.6 </td> <td style="text-align:right;"> 19.5 </td> <td style="text-align:right;"> 387051.0 </td> <td style="text-align:right;"> 48.64398 </td> <td style="text-align:right;"> 0.8 </td> <td style="text-align:right;"> 2.1 </td> <td style="text-align:right;"> 0.8 </td> <td style="text-align:right;"> 3.6 </td> <td style="text-align:right;"> 976.31 </td> <td style="text-align:right;"> 1021 </td> <td style="text-align:right;"> 107.5912872 </td> <td style="text-align:right;"> 24.3 </td> <td style="text-align:right;"> 8.3 </td> <td style="text-align:right;"> 42.7 </td> <td style="text-align:right;"> 86.88439 </td> <td style="text-align:right;"> 64.06524 </td> <td style="text-align:right;"> 4.270000 </td> <td style="text-align:right;"> 7.53 </td> <td style="text-align:right;"> 5.910000 </td> <td style="text-align:right;"> 8.61 </td> <td style="text-align:right;"> 12.74 </td> <td style="text-align:right;"> 10.83 </td> </tr> <tr> <td style="text-align:left;"> Belgium </td> <td style="text-align:left;"> BEL </td> <td style="text-align:right;"> 90.02 </td> <td style="text-align:right;"> 38.5500000 </td> <td style="text-align:right;"> 1.3768793 </td> <td style="text-align:right;"> 6363243452 </td> <td style="text-align:right;"> 4121049 </td> <td style="text-align:right;"> 36.5084240 </td> <td style="text-align:right;"> 4488711 </td> <td style="text-align:right;"> 39.7655462 </td> <td style="text-align:right;"> 9.9823446 </td> <td style="text-align:right;"> 1.087700e+10 </td> <td style="text-align:right;"> 85.052942 </td> <td style="text-align:right;"> 83.400 </td> <td style="text-align:right;"> 78.700 </td> <td style="text-align:right;"> 80.99268 </td> <td style="text-align:right;"> 12774090 </td> <td style="text-align:right;"> 113.16582 </td> <td style="text-align:right;"> 6.7 </td> <td style="text-align:right;"> 11.5 </td> <td style="text-align:right;"> 8.8 </td> <td style="text-align:right;"> 14.2 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 53.933 </td> <td style="text-align:right;"> 89.305 </td> <td style="text-align:right;"> 3.2 </td> <td style="text-align:right;"> 2.8 </td> <td style="text-align:right;"> 3.6 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 3.9 </td> <td style="text-align:right;"> 3.4 </td> <td style="text-align:right;"> 4.4 </td> <td style="text-align:right;"> 1851149281 </td> <td style="text-align:right;"> 6502990903 </td> <td style="text-align:right;"> 58 </td> <td style="text-align:right;"> 157 </td> <td style="text-align:right;"> 287 </td> <td style="text-align:right;"> 56 </td> <td style="text-align:right;"> 400 </td> <td style="text-align:right;"> 280 </td> <td style="text-align:right;"> 497 </td> <td style="text-align:right;"> 11.9 </td> <td style="text-align:right;"> 11.8 </td> <td style="text-align:right;"> 15.1 </td> <td style="text-align:right;"> 12.0 </td> <td style="text-align:right;"> 782606.0 </td> <td style="text-align:right;"> 48.87070 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 1.2 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 2.1 </td> <td style="text-align:right;"> 16724.04 </td> <td style="text-align:right;"> 22982 </td> <td style="text-align:right;"> 2038.4602148 </td> <td style="text-align:right;"> 18.6 </td> <td style="text-align:right;"> 11.7 </td> <td style="text-align:right;"> 25.8 </td> <td style="text-align:right;"> 91.31656 </td> <td style="text-align:right;"> 85.51777 </td> <td style="text-align:right;"> 7.770000 </td> <td style="text-align:right;"> 9.09 </td> <td style="text-align:right;"> 8.479999 </td> <td style="text-align:right;"> 20.04 </td> <td style="text-align:right;"> 23.79 </td> <td style="text-align:right;"> 22.13 </td> </tr> <tr> <td style="text-align:left;"> Belize </td> <td style="text-align:left;"> BLZ </td> <td style="text-align:right;"> 39.99 </td> <td style="text-align:right;"> 20.8100000 </td> <td style="text-align:right;"> -10.1366486 </td> <td style="text-align:right;"> -174735548 </td> <td style="text-align:right;"> 17379 </td> <td style="text-align:right;"> 4.8150211 </td> <td style="text-align:right;"> 23603 </td> <td style="text-align:right;"> 6.5394408 </td> <td style="text-align:right;"> 1.7258133 </td> <td style="text-align:right;"> 8.555419e+06 </td> <td style="text-align:right;"> 41.590000 </td> <td style="text-align:right;"> 76.896 </td> <td style="text-align:right;"> 71.424 </td> <td style="text-align:right;"> 74.03400 </td> <td style="text-align:right;"> 211946 </td> <td style="text-align:right;"> 58.72170 </td> <td style="text-align:right;"> 25.5 </td> <td style="text-align:right;"> 16.4 </td> <td style="text-align:right;"> 14.3 </td> <td style="text-align:right;"> 18.3 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 128.639 </td> <td style="text-align:right;"> 220.346 </td> <td style="text-align:right;"> 13.2 </td> <td style="text-align:right;"> 11.8 </td> <td style="text-align:right;"> 14.5 </td> <td style="text-align:right;"> 10.0 </td> <td style="text-align:right;"> 15.3 </td> <td style="text-align:right;"> 13.8 </td> <td style="text-align:right;"> 16.8 </td> <td style="text-align:right;"> -423353128 </td> <td style="text-align:right;"> -148978201 </td> <td style="text-align:right;"> 13 </td> <td style="text-align:right;"> 37 </td> <td style="text-align:right;"> 60 </td> <td style="text-align:right;"> 11 </td> <td style="text-align:right;"> 103 </td> <td style="text-align:right;"> 78 </td> <td style="text-align:right;"> 119 </td> <td style="text-align:right;"> 22.3 </td> <td style="text-align:right;"> 20.6 </td> <td style="text-align:right;"> 21.4 </td> <td style="text-align:right;"> 20.6 </td> <td style="text-align:right;"> 52072.0 </td> <td style="text-align:right;"> 48.03733 </td> <td style="text-align:right;"> 1.7 </td> <td style="text-align:right;"> 4.8 </td> <td style="text-align:right;"> 1.4 </td> <td style="text-align:right;"> 8.4 </td> <td style="text-align:right;"> 7.64 </td> <td style="text-align:right;"> 412 </td> <td style="text-align:right;"> 1141.4860930 </td> <td style="text-align:right;"> 6.0 </td> <td style="text-align:right;"> 1.4 </td> <td style="text-align:right;"> 10.5 </td> <td style="text-align:right;"> 81.15490 </td> <td style="text-align:right;"> 70.04250 </td> <td style="text-align:right;"> 11.070000 </td> <td style="text-align:right;"> 5.43 </td> <td style="text-align:right;"> 7.580000 </td> <td style="text-align:right;"> 25.91 </td> <td style="text-align:right;"> 11.23 </td> <td style="text-align:right;"> 16.42 </td> </tr> <tr> <td style="text-align:left;"> Benin </td> <td style="text-align:left;"> BEN </td> <td style="text-align:right;"> 4.60 </td> <td style="text-align:right;"> 3.6500000 </td> <td style="text-align:right;"> -5.9640932 </td> <td style="text-align:right;"> -679200532 </td> <td style="text-align:right;"> 73263 </td> <td style="text-align:right;"> 0.6927320 </td> <td style="text-align:right;"> 194666 </td> <td style="text-align:right;"> 1.8406475 </td> <td style="text-align:right;"> 8.6986781 </td> <td style="text-align:right;"> 2.993366e+07 </td> <td style="text-align:right;"> 11.254988 </td> <td style="text-align:right;"> 62.082 </td> <td style="text-align:right;"> 59.100 </td> <td style="text-align:right;"> 60.60800 </td> <td style="text-align:right;"> 9317955 </td> <td style="text-align:right;"> 88.10512 </td> <td style="text-align:right;"> 27.3 </td> <td style="text-align:right;"> 23.5 </td> <td style="text-align:right;"> 21.5 </td> <td style="text-align:right;"> 25.9 </td> <td style="text-align:right;"> 2.9 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 3.7 </td> <td style="text-align:right;"> 219.592 </td> <td style="text-align:right;"> 266.315 </td> <td style="text-align:right;"> 64.3 </td> <td style="text-align:right;"> 58.1 </td> <td style="text-align:right;"> 70.1 </td> <td style="text-align:right;"> 32.3 </td> <td style="text-align:right;"> 99.6 </td> <td style="text-align:right;"> 93.0 </td> <td style="text-align:right;"> 105.8 </td> <td style="text-align:right;"> -523666905 </td> <td style="text-align:right;"> -756800485 </td> <td style="text-align:right;"> 2042 </td> <td style="text-align:right;"> 2464 </td> <td style="text-align:right;"> 2213 </td> <td style="text-align:right;"> 4294 </td> <td style="text-align:right;"> 25004 </td> <td style="text-align:right;"> 12818 </td> <td style="text-align:right;"> 38236 </td> <td style="text-align:right;"> 63.4 </td> <td style="text-align:right;"> 54.6 </td> <td style="text-align:right;"> 58.5 </td> <td style="text-align:right;"> 55.0 </td> <td style="text-align:right;"> 2238185.0 </td> <td style="text-align:right;"> 47.49697 </td> <td style="text-align:right;"> 7.8 </td> <td style="text-align:right;"> 10.8 </td> <td style="text-align:right;"> 14.1 </td> <td style="text-align:right;"> 11.4 </td> <td style="text-align:right;"> 187.97 </td> <td style="text-align:right;"> 24 </td> <td style="text-align:right;"> 2.2692993 </td> <td style="text-align:right;"> 8.1 </td> <td style="text-align:right;"> 4.0 </td> <td style="text-align:right;"> 12.2 </td> <td style="text-align:right;"> 62.83911 </td> <td style="text-align:right;"> 56.98253 </td> <td style="text-align:right;"> 2.760000 </td> <td style="text-align:right;"> 2.39 </td> <td style="text-align:right;"> 2.570000 </td> <td style="text-align:right;"> 5.59 </td> <td style="text-align:right;"> 4.97 </td> <td style="text-align:right;"> 5.30 </td> </tr> <tr> <td style="text-align:left;"> Bhutan </td> <td style="text-align:left;"> BTN </td> <td style="text-align:right;"> 28.76 </td> <td style="text-align:right;"> 16.4600000 </td> <td style="text-align:right;"> -27.3670687 </td> <td style="text-align:right;"> -548326099 </td> <td style="text-align:right;"> 27874 </td> <td style="text-align:right;"> 3.8294984 </td> <td style="text-align:right;"> 21811 </td> <td style="text-align:right;"> 2.9965269 </td> <td style="text-align:right;"> 0.3162802 </td> <td style="text-align:right;"> 3.966303e+05 </td> <td style="text-align:right;"> 39.800000 </td> <td style="text-align:right;"> 70.668 </td> <td style="text-align:right;"> 70.164 </td> <td style="text-align:right;"> 70.41900 </td> <td style="text-align:right;"> 675747 </td> <td style="text-align:right;"> 92.83820 </td> <td style="text-align:right;"> 15.1 </td> <td style="text-align:right;"> 18.9 </td> <td style="text-align:right;"> 17.7 </td> <td style="text-align:right;"> 19.8 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 209.353 </td> <td style="text-align:right;"> 206.653 </td> <td style="text-align:right;"> 27.4 </td> <td style="text-align:right;"> 24.8 </td> <td style="text-align:right;"> 29.8 </td> <td style="text-align:right;"> 18.7 </td> <td style="text-align:right;"> 33.1 </td> <td style="text-align:right;"> 30.1 </td> <td style="text-align:right;"> 36.0 </td> <td style="text-align:right;"> -427043376 </td> <td style="text-align:right;"> -496734660 </td> <td style="text-align:right;"> 72 </td> <td style="text-align:right;"> 92 </td> <td style="text-align:right;"> 111 </td> <td style="text-align:right;"> 39 </td> <td style="text-align:right;"> 353 </td> <td style="text-align:right;"> 242 </td> <td style="text-align:right;"> 427 </td> <td style="text-align:right;"> 45.0 </td> <td style="text-align:right;"> 38.8 </td> <td style="text-align:right;"> 39.9 </td> <td style="text-align:right;"> 38.8 </td> <td style="text-align:right;"> 99291.0 </td> <td style="text-align:right;"> 49.54326 </td> <td style="text-align:right;"> 5.1 </td> <td style="text-align:right;"> 6.1 </td> <td style="text-align:right;"> 3.0 </td> <td style="text-align:right;"> 7.1 </td> <td style="text-align:right;"> 25.18 </td> <td style="text-align:right;"> 14 </td> <td style="text-align:right;"> 19.2340454 </td> <td style="text-align:right;"> 4.5 </td> <td style="text-align:right;"> 2.6 </td> <td style="text-align:right;"> 6.2 </td> <td style="text-align:right;"> 69.54083 </td> <td style="text-align:right;"> 70.05545 </td> <td style="text-align:right;"> 3.250000 </td> <td style="text-align:right;"> 1.90 </td> <td style="text-align:right;"> 2.450000 </td> <td style="text-align:right;"> 11.62 </td> <td style="text-align:right;"> 7.73 </td> <td style="text-align:right;"> 9.67 </td> </tr> <tr> <td style="text-align:left;"> Bolivia </td> <td style="text-align:left;"> BOL </td> <td style="text-align:right;"> 37.77 </td> <td style="text-align:right;"> 34.4900000 </td> <td style="text-align:right;"> -5.8672659 </td> <td style="text-align:right;"> -1936209393 </td> <td style="text-align:right;"> 180951 </td> <td style="text-align:right;"> 1.6647240 </td> <td style="text-align:right;"> 881235 </td> <td style="text-align:right;"> 8.1072391 </td> <td style="text-align:right;"> 6.4493245 </td> <td style="text-align:right;"> 8.019057e+07 </td> <td style="text-align:right;"> 35.562271 </td> <td style="text-align:right;"> 73.105 </td> <td style="text-align:right;"> 67.600 </td> <td style="text-align:right;"> 70.27700 </td> <td style="text-align:right;"> 10162829 </td> <td style="text-align:right;"> 93.49661 </td> <td style="text-align:right;"> 18.8 </td> <td style="text-align:right;"> 18.2 </td> <td style="text-align:right;"> 18.9 </td> <td style="text-align:right;"> 17.5 </td> <td style="text-align:right;"> 0.6 </td> <td style="text-align:right;"> 0.6 </td> <td style="text-align:right;"> 0.7 </td> <td style="text-align:right;"> 152.314 </td> <td style="text-align:right;"> 216.726 </td> <td style="text-align:right;"> 25.1 </td> <td style="text-align:right;"> 22.4 </td> <td style="text-align:right;"> 27.6 </td> <td style="text-align:right;"> 17.1 </td> <td style="text-align:right;"> 31.0 </td> <td style="text-align:right;"> 28.0 </td> <td style="text-align:right;"> 33.8 </td> <td style="text-align:right;"> -387880612 </td> <td style="text-align:right;"> -1979737198 </td> <td style="text-align:right;"> 474 </td> <td style="text-align:right;"> 1129 </td> <td style="text-align:right;"> 1099 </td> <td style="text-align:right;"> 610 </td> <td style="text-align:right;"> 6204 </td> <td style="text-align:right;"> 4231 </td> <td style="text-align:right;"> 7672 </td> <td style="text-align:right;"> 47.5 </td> <td style="text-align:right;"> 26.2 </td> <td style="text-align:right;"> 35.4 </td> <td style="text-align:right;"> 26.7 </td> <td style="text-align:right;"> 1345182.0 </td> <td style="text-align:right;"> 48.42958 </td> <td style="text-align:right;"> 2.1 </td> <td style="text-align:right;"> 5.2 </td> <td style="text-align:right;"> 2.6 </td> <td style="text-align:right;"> 5.5 </td> <td style="text-align:right;"> 86.82 </td> <td style="text-align:right;"> 290 </td> <td style="text-align:right;"> 26.6795955 </td> <td style="text-align:right;"> 6.4 </td> <td style="text-align:right;"> 4.4 </td> <td style="text-align:right;"> 8.3 </td> <td style="text-align:right;"> 74.98061 </td> <td style="text-align:right;"> 66.12596 </td> <td style="text-align:right;"> 3.800000 </td> <td style="text-align:right;"> 2.56 </td> <td style="text-align:right;"> 3.070000 </td> <td style="text-align:right;"> 8.56 </td> <td style="text-align:right;"> 5.73 </td> <td style="text-align:right;"> 6.81 </td> </tr> <tr> <td style="text-align:left;"> Bosnia and Herzegovina </td> <td style="text-align:left;"> BIH </td> <td style="text-align:right;"> 51.92 </td> <td style="text-align:right;"> 31.6500000 </td> <td style="text-align:right;"> -5.0952923 </td> <td style="text-align:right;"> -826025437 </td> <td style="text-align:right;"> 634987 </td> <td style="text-align:right;"> 18.5161900 </td> <td style="text-align:right;"> 772684 </td> <td style="text-align:right;"> 22.5314279 </td> <td style="text-align:right;"> 8.0179323 </td> <td style="text-align:right;"> 1.346616e+08 </td> <td style="text-align:right;"> 52.600000 </td> <td style="text-align:right;"> 79.292 </td> <td style="text-align:right;"> 74.376 </td> <td style="text-align:right;"> 76.86500 </td> <td style="text-align:right;"> 3443520 </td> <td style="text-align:right;"> 100.41288 </td> <td style="text-align:right;"> 15.8 </td> <td style="text-align:right;"> 19.2 </td> <td style="text-align:right;"> 14.1 </td> <td style="text-align:right;"> 24.6 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 64.788 </td> <td style="text-align:right;"> 127.346 </td> <td style="text-align:right;"> 5.4 </td> <td style="text-align:right;"> 4.9 </td> <td style="text-align:right;"> 5.9 </td> <td style="text-align:right;"> 4.6 </td> <td style="text-align:right;"> 6.3 </td> <td style="text-align:right;"> 5.6 </td> <td style="text-align:right;"> 6.9 </td> <td style="text-align:right;"> -4067375189 </td> <td style="text-align:right;"> -2961519174 </td> <td style="text-align:right;"> 24 </td> <td style="text-align:right;"> 73 </td> <td style="text-align:right;"> 97 </td> <td style="text-align:right;"> 20 </td> <td style="text-align:right;"> 165 </td> <td style="text-align:right;"> 137 </td> <td style="text-align:right;"> 192 </td> <td style="text-align:right;"> 27.3 </td> <td style="text-align:right;"> 23.7 </td> <td style="text-align:right;"> 27.3 </td> <td style="text-align:right;"> 23.8 </td> <td style="text-align:right;"> 162629.0 </td> <td style="text-align:right;"> 48.68873 </td> <td style="text-align:right;"> 0.7 </td> <td style="text-align:right;"> 1.6 </td> <td style="text-align:right;"> 0.6 </td> <td style="text-align:right;"> 2.3 </td> <td style="text-align:right;"> 568.22 </td> <td style="text-align:right;"> 282 </td> <td style="text-align:right;"> 82.2310629 </td> <td style="text-align:right;"> 10.7 </td> <td style="text-align:right;"> 4.6 </td> <td style="text-align:right;"> 17.0 </td> <td style="text-align:right;"> 89.25663 </td> <td style="text-align:right;"> 80.17576 </td> <td style="text-align:right;"> 30.650000 </td> <td style="text-align:right;"> 25.75 </td> <td style="text-align:right;"> 27.690001 </td> <td style="text-align:right;"> 67.58 </td> <td style="text-align:right;"> 60.52 </td> <td style="text-align:right;"> 63.21 </td> </tr> <tr> <td style="text-align:left;"> Botswana </td> <td style="text-align:left;"> BWA </td> <td style="text-align:right;"> 33.98 </td> <td style="text-align:right;"> 8.8400000 </td> <td style="text-align:right;"> 2.0888129 </td> <td style="text-align:right;"> 301219214 </td> <td style="text-align:right;"> 36845 </td> <td style="text-align:right;"> 1.7373849 </td> <td style="text-align:right;"> 160490 </td> <td style="text-align:right;"> 7.5677271 </td> <td style="text-align:right;"> 1.2569143 </td> <td style="text-align:right;"> 1.146409e+07 </td> <td style="text-align:right;"> 37.312050 </td> <td style="text-align:right;"> 70.013 </td> <td style="text-align:right;"> 64.458 </td> <td style="text-align:right;"> 67.33800 </td> <td style="text-align:right;"> 3475327 </td> <td style="text-align:right;"> 163.87517 </td> <td style="text-align:right;"> 24.8 </td> <td style="text-align:right;"> 29.7 </td> <td style="text-align:right;"> 25.2 </td> <td style="text-align:right;"> 35.1 </td> <td style="text-align:right;"> 2.0 </td> <td style="text-align:right;"> 1.7 </td> <td style="text-align:right;"> 2.3 </td> <td style="text-align:right;"> 194.629 </td> <td style="text-align:right;"> 302.561 </td> <td style="text-align:right;"> 32.1 </td> <td style="text-align:right;"> 28.9 </td> <td style="text-align:right;"> 35.1 </td> <td style="text-align:right;"> 17.0 </td> <td style="text-align:right;"> 41.2 </td> <td style="text-align:right;"> 37.5 </td> <td style="text-align:right;"> 44.7 </td> <td style="text-align:right;"> -702392559 </td> <td style="text-align:right;"> -909033269 </td> <td style="text-align:right;"> 112 </td> <td style="text-align:right;"> 179 </td> <td style="text-align:right;"> 480 </td> <td style="text-align:right;"> 205 </td> <td style="text-align:right;"> 1808 </td> <td style="text-align:right;"> 963 </td> <td style="text-align:right;"> 2317 </td> <td style="text-align:right;"> 40.4 </td> <td style="text-align:right;"> 31.6 </td> <td style="text-align:right;"> 31.2 </td> <td style="text-align:right;"> 31.6 </td> <td style="text-align:right;"> 344618.0 </td> <td style="text-align:right;"> 48.86193 </td> <td style="text-align:right;"> 2.5 </td> <td style="text-align:right;"> 4.4 </td> <td style="text-align:right;"> 4.1 </td> <td style="text-align:right;"> 12.1 </td> <td style="text-align:right;"> 160.83 </td> <td style="text-align:right;"> 75 </td> <td style="text-align:right;"> 35.3654143 </td> <td style="text-align:right;"> 19.0 </td> <td style="text-align:right;"> 8.3 </td> <td style="text-align:right;"> 30.6 </td> <td style="text-align:right;"> 71.73560 </td> <td style="text-align:right;"> 59.82059 </td> <td style="text-align:right;"> 20.870001 </td> <td style="text-align:right;"> 14.71 </td> <td style="text-align:right;"> 17.709999 </td> <td style="text-align:right;"> 42.74 </td> <td style="text-align:right;"> 29.52 </td> <td style="text-align:right;"> 35.64 </td> </tr> <tr> <td style="text-align:left;"> Brazil </td> <td style="text-align:left;"> BRA </td> <td style="text-align:right;"> 114.97 </td> <td style="text-align:right;"> 20.8500000 </td> <td style="text-align:right;"> -3.0225173 </td> <td style="text-align:right;"> -54472241231 </td> <td style="text-align:right;"> 25482478 </td> <td style="text-align:right;"> 12.4625899 </td> <td style="text-align:right;"> 43677141 </td> <td style="text-align:right;"> 21.3609640 </td> <td style="text-align:right;"> 4.6482624 </td> <td style="text-align:right;"> 1.571480e+09 </td> <td style="text-align:right;"> 58.327952 </td> <td style="text-align:right;"> 78.698 </td> <td style="text-align:right;"> 71.345 </td> <td style="text-align:right;"> 74.99400 </td> <td style="text-align:right;"> 257814274 </td> <td style="text-align:right;"> 126.08796 </td> <td style="text-align:right;"> 20.8 </td> <td style="text-align:right;"> 16.2 </td> <td style="text-align:right;"> 13.3 </td> <td style="text-align:right;"> 19.5 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 95.103 </td> <td style="text-align:right;"> 193.622 </td> <td style="text-align:right;"> 14.0 </td> <td style="text-align:right;"> 12.3 </td> <td style="text-align:right;"> 15.7 </td> <td style="text-align:right;"> 9.4 </td> <td style="text-align:right;"> 15.7 </td> <td style="text-align:right;"> 13.8 </td> <td style="text-align:right;"> 17.5 </td> <td style="text-align:right;"> 17654680637 </td> <td style="text-align:right;"> -19260791207 </td> <td style="text-align:right;"> 4913 </td> <td style="text-align:right;"> 21735 </td> <td style="text-align:right;"> 27795 </td> <td style="text-align:right;"> 3334 </td> <td style="text-align:right;"> 41527 </td> <td style="text-align:right;"> 27799 </td> <td style="text-align:right;"> 46500 </td> <td style="text-align:right;"> 24.3 </td> <td style="text-align:right;"> 16.7 </td> <td style="text-align:right;"> 19.6 </td> <td style="text-align:right;"> 16.8 </td> <td style="text-align:right;"> 16299166.0 </td> <td style="text-align:right;"> 47.92504 </td> <td style="text-align:right;"> 1.5 </td> <td style="text-align:right;"> 6.3 </td> <td style="text-align:right;"> 1.1 </td> <td style="text-align:right;"> 8.1 </td> <td style="text-align:right;"> 53064.56 </td> <td style="text-align:right;"> 32503 </td> <td style="text-align:right;"> 158.9608197 </td> <td style="text-align:right;"> 5.9 </td> <td style="text-align:right;"> 2.8 </td> <td style="text-align:right;"> 9.1 </td> <td style="text-align:right;"> 84.44189 </td> <td style="text-align:right;"> 72.26276 </td> <td style="text-align:right;"> 10.060000 </td> <td style="text-align:right;"> 7.21 </td> <td style="text-align:right;"> 8.430000 </td> <td style="text-align:right;"> 23.57 </td> <td style="text-align:right;"> 16.69 </td> <td style="text-align:right;"> 19.61 </td> </tr> <tr> <td style="text-align:left;"> Brunei Darussalam </td> <td style="text-align:left;"> BRN </td> <td style="text-align:right;"> 79.69 </td> <td style="text-align:right;"> 20.9500000 </td> <td style="text-align:right;"> 16.6789168 </td> <td style="text-align:right;"> 2156649812 </td> <td style="text-align:right;"> 34425 </td> <td style="text-align:right;"> 8.2970401 </td> <td style="text-align:right;"> 76002 </td> <td style="text-align:right;"> 18.3178399 </td> <td style="text-align:right;"> 0.0124598 </td> <td style="text-align:right;"> 8.070480e+04 </td> <td style="text-align:right;"> 71.200000 </td> <td style="text-align:right;"> 76.547 </td> <td style="text-align:right;"> 74.175 </td> <td style="text-align:right;"> 75.31800 </td> <td style="text-align:right;"> 463384 </td> <td style="text-align:right;"> 111.68382 </td> <td style="text-align:right;"> 8.9 </td> <td style="text-align:right;"> 18.5 </td> <td style="text-align:right;"> 16.5 </td> <td style="text-align:right;"> 20.4 </td> <td style="text-align:right;"> 0.6 </td> <td style="text-align:right;"> 0.6 </td> <td style="text-align:right;"> 0.6 </td> <td style="text-align:right;"> 73.057 </td> <td style="text-align:right;"> 103.129 </td> <td style="text-align:right;"> 8.8 </td> <td style="text-align:right;"> 7.9 </td> <td style="text-align:right;"> 9.6 </td> <td style="text-align:right;"> 5.2 </td> <td style="text-align:right;"> 10.6 </td> <td style="text-align:right;"> 9.5 </td> <td style="text-align:right;"> 11.6 </td> <td style="text-align:right;"> 2909688196 </td> <td style="text-align:right;"> 1903397569 </td> <td style="text-align:right;"> 8 </td> <td style="text-align:right;"> 12 </td> <td style="text-align:right;"> 22 </td> <td style="text-align:right;"> 9 </td> <td style="text-align:right;"> 60 </td> <td style="text-align:right;"> 35 </td> <td style="text-align:right;"> 72 </td> <td style="text-align:right;"> 15.4 </td> <td style="text-align:right;"> 14.8 </td> <td style="text-align:right;"> 22.7 </td> <td style="text-align:right;"> 15.1 </td> <td style="text-align:right;"> 40397.0 </td> <td style="text-align:right;"> 48.49122 </td> <td style="text-align:right;"> 1.2 </td> <td style="text-align:right;"> 1.7 </td> <td style="text-align:right;"> 1.4 </td> <td style="text-align:right;"> 3.1 </td> <td style="text-align:right;"> 177.77 </td> <td style="text-align:right;"> 238 </td> <td style="text-align:right;"> 573.6225226 </td> <td style="text-align:right;"> 1.9 </td> <td style="text-align:right;"> 0.7 </td> <td style="text-align:right;"> 2.9 </td> <td style="text-align:right;"> 84.02454 </td> <td style="text-align:right;"> 77.72156 </td> <td style="text-align:right;"> 8.570000 </td> <td style="text-align:right;"> 7.05 </td> <td style="text-align:right;"> 7.690000 </td> <td style="text-align:right;"> 27.82 </td> <td style="text-align:right;"> 25.56 </td> <td style="text-align:right;"> 26.54 </td> </tr> <tr> <td style="text-align:left;"> Bulgaria </td> <td style="text-align:left;"> BGR </td> <td style="text-align:right;"> 91.27 </td> <td style="text-align:right;"> 60.3200000 </td> <td style="text-align:right;"> 0.1211710 </td> <td style="text-align:right;"> 61370000 </td> <td style="text-align:right;"> 1614541 </td> <td style="text-align:right;"> 22.4249872 </td> <td style="text-align:right;"> 1654879 </td> <td style="text-align:right;"> 22.9852574 </td> <td style="text-align:right;"> 10.7536477 </td> <td style="text-align:right;"> 8.736500e+08 </td> <td style="text-align:right;"> 56.656252 </td> <td style="text-align:right;"> 78.200 </td> <td style="text-align:right;"> 71.200 </td> <td style="text-align:right;"> 74.61463 </td> <td style="text-align:right;"> 9194633 </td> <td style="text-align:right;"> 127.70783 </td> <td style="text-align:right;"> 10.1 </td> <td style="text-align:right;"> 24.3 </td> <td style="text-align:right;"> 16.1 </td> <td style="text-align:right;"> 32.8 </td> <td style="text-align:right;"> 0.8 </td> <td style="text-align:right;"> 0.6 </td> <td style="text-align:right;"> 0.9 </td> <td style="text-align:right;"> 86.607 </td> <td style="text-align:right;"> 185.528 </td> <td style="text-align:right;"> 6.8 </td> <td style="text-align:right;"> 6.1 </td> <td style="text-align:right;"> 7.5 </td> <td style="text-align:right;"> 4.0 </td> <td style="text-align:right;"> 8.1 </td> <td style="text-align:right;"> 7.3 </td> <td style="text-align:right;"> 8.9 </td> <td style="text-align:right;"> -2900170000 </td> <td style="text-align:right;"> 530370000 </td> <td style="text-align:right;"> 62 </td> <td style="text-align:right;"> 141 </td> <td style="text-align:right;"> 240 </td> <td style="text-align:right;"> 64 </td> <td style="text-align:right;"> 453 </td> <td style="text-align:right;"> 266 </td> <td style="text-align:right;"> 546 </td> <td style="text-align:right;"> 26.3 </td> <td style="text-align:right;"> 22.7 </td> <td style="text-align:right;"> 25.6 </td> <td style="text-align:right;"> 22.8 </td> <td style="text-align:right;"> 261793.0 </td> <td style="text-align:right;"> 48.30992 </td> <td style="text-align:right;"> 1.0 </td> <td style="text-align:right;"> 2.3 </td> <td style="text-align:right;"> 0.9 </td> <td style="text-align:right;"> 3.0 </td> <td style="text-align:right;"> 2558.33 </td> <td style="text-align:right;"> 4880 </td> <td style="text-align:right;"> 679.8559653 </td> <td style="text-align:right;"> 9.8 </td> <td style="text-align:right;"> 4.5 </td> <td style="text-align:right;"> 15.5 </td> <td style="text-align:right;"> 86.40026 </td> <td style="text-align:right;"> 71.15771 </td> <td style="text-align:right;"> 8.420000 </td> <td style="text-align:right;"> 9.78 </td> <td style="text-align:right;"> 9.140000 </td> <td style="text-align:right;"> 22.25 </td> <td style="text-align:right;"> 21.24 </td> <td style="text-align:right;"> 21.64 </td> </tr> <tr> <td style="text-align:left;"> Burkina Faso </td> <td style="text-align:left;"> BFA </td> <td style="text-align:right;"> 3.46 </td> <td style="text-align:right;"> 2.9100000 </td> <td style="text-align:right;"> -7.5675120 </td> <td style="text-align:right;"> -895400077 </td> <td style="text-align:right;"> 9354 </td> <td style="text-align:right;"> 0.0516492 </td> <td style="text-align:right;"> 75075 </td> <td style="text-align:right;"> 0.4145357 </td> <td style="text-align:right;"> 10.9564303 </td> <td style="text-align:right;"> 4.281856e+07 </td> <td style="text-align:right;"> 14.000000 </td> <td style="text-align:right;"> 60.525 </td> <td style="text-align:right;"> 59.183 </td> <td style="text-align:right;"> 59.91900 </td> <td style="text-align:right;"> 14446897 </td> <td style="text-align:right;"> 79.77029 </td> <td style="text-align:right;"> 30.4 </td> <td style="text-align:right;"> 24.8 </td> <td style="text-align:right;"> 22.7 </td> <td style="text-align:right;"> 27.8 </td> <td style="text-align:right;"> 3.4 </td> <td style="text-align:right;"> 2.8 </td> <td style="text-align:right;"> 4.1 </td> <td style="text-align:right;"> 242.487 </td> <td style="text-align:right;"> 273.429 </td> <td style="text-align:right;"> 59.5 </td> <td style="text-align:right;"> 54.2 </td> <td style="text-align:right;"> 64.6 </td> <td style="text-align:right;"> 28.0 </td> <td style="text-align:right;"> 100.7 </td> <td style="text-align:right;"> 95.5 </td> <td style="text-align:right;"> 105.6 </td> <td style="text-align:right;"> -241412679 </td> <td style="text-align:right;"> -1017344552 </td> <td style="text-align:right;"> 3300 </td> <td style="text-align:right;"> 2723 </td> <td style="text-align:right;"> 3461 </td> <td style="text-align:right;"> 7089 </td> <td style="text-align:right;"> 41858 </td> <td style="text-align:right;"> 20016 </td> <td style="text-align:right;"> 69752 </td> <td style="text-align:right;"> 86.5 </td> <td style="text-align:right;"> 52.7 </td> <td style="text-align:right;"> 56.3 </td> <td style="text-align:right;"> 53.1 </td> <td style="text-align:right;"> 2706803.0 </td> <td style="text-align:right;"> 48.44774 </td> <td style="text-align:right;"> 7.0 </td> <td style="text-align:right;"> 6.9 </td> <td style="text-align:right;"> 12.8 </td> <td style="text-align:right;"> 10.5 </td> <td style="text-align:right;"> 229.50 </td> <td style="text-align:right;"> 27 </td> <td style="text-align:right;"> 1.4908376 </td> <td style="text-align:right;"> 8.0 </td> <td style="text-align:right;"> 4.0 </td> <td style="text-align:right;"> 11.9 </td> <td style="text-align:right;"> 60.50081 </td> <td style="text-align:right;"> 56.27320 </td> <td style="text-align:right;"> 8.140000 </td> <td style="text-align:right;"> 4.34 </td> <td style="text-align:right;"> 6.040000 </td> <td style="text-align:right;"> 11.64 </td> <td style="text-align:right;"> 6.19 </td> <td style="text-align:right;"> 8.50 </td> </tr> <tr> <td style="text-align:left;"> Burundi </td> <td style="text-align:left;"> BDI </td> <td style="text-align:right;"> 1.43 </td> <td style="text-align:right;"> 3.2300000 </td> <td style="text-align:right;"> -12.0230783 </td> <td style="text-align:right;"> -373243823 </td> <td style="text-align:right;"> 2771 </td> <td style="text-align:right;"> 0.0272735 </td> <td style="text-align:right;"> 21774 </td> <td style="text-align:right;"> 0.2143104 </td> <td style="text-align:right;"> 13.4931228 </td> <td style="text-align:right;"> 7.731480e+06 </td> <td style="text-align:right;"> 4.866225 </td> <td style="text-align:right;"> 61.893 </td> <td style="text-align:right;"> 58.325 </td> <td style="text-align:right;"> 60.12300 </td> <td style="text-align:right;"> 4997696 </td> <td style="text-align:right;"> 49.18978 </td> <td style="text-align:right;"> 34.4 </td> <td style="text-align:right;"> 25.8 </td> <td style="text-align:right;"> 24.3 </td> <td style="text-align:right;"> 27.6 </td> <td style="text-align:right;"> 3.6 </td> <td style="text-align:right;"> 3.0 </td> <td style="text-align:right;"> 4.2 </td> <td style="text-align:right;"> 265.208 </td> <td style="text-align:right;"> 323.166 </td> <td style="text-align:right;"> 45.9 </td> <td style="text-align:right;"> 40.9 </td> <td style="text-align:right;"> 50.7 </td> <td style="text-align:right;"> 23.3 </td> <td style="text-align:right;"> 67.2 </td> <td style="text-align:right;"> 61.9 </td> <td style="text-align:right;"> 72.3 </td> <td style="text-align:right;"> -482990206 </td> <td style="text-align:right;"> -654456603 </td> <td style="text-align:right;"> 2383 </td> <td style="text-align:right;"> 1973 </td> <td style="text-align:right;"> 1938 </td> <td style="text-align:right;"> 4028 </td> <td style="text-align:right;"> 18818 </td> <td style="text-align:right;"> 9697 </td> <td style="text-align:right;"> 27097 </td> <td style="text-align:right;"> 47.8 </td> <td style="text-align:right;"> 32.7 </td> <td style="text-align:right;"> 41.8 </td> <td style="text-align:right;"> 33.7 </td> <td style="text-align:right;"> 2072408.0 </td> <td style="text-align:right;"> 50.58145 </td> <td style="text-align:right;"> 9.6 </td> <td style="text-align:right;"> 9.3 </td> <td style="text-align:right;"> 13.1 </td> <td style="text-align:right;"> 9.6 </td> <td style="text-align:right;"> 13.44 </td> <td style="text-align:right;"> 8 </td> <td style="text-align:right;"> 0.7873992 </td> <td style="text-align:right;"> 6.4 </td> <td style="text-align:right;"> 3.8 </td> <td style="text-align:right;"> 9.2 </td> <td style="text-align:right;"> 60.30914 </td> <td style="text-align:right;"> 53.18645 </td> <td style="text-align:right;"> 1.110000 </td> <td style="text-align:right;"> 2.03 </td> <td style="text-align:right;"> 1.550000 </td> <td style="text-align:right;"> 1.81 </td> <td style="text-align:right;"> 3.93 </td> <td style="text-align:right;"> 2.78 </td> </tr> <tr> <td style="text-align:left;"> Cabo Verde </td> <td style="text-align:left;"> CPV </td> <td style="text-align:right;"> 45.97 </td> <td style="text-align:right;"> 33.7300000 </td> <td style="text-align:right;"> -3.1684149 </td> <td style="text-align:right;"> -50593257 </td> <td style="text-align:right;"> 16568 </td> <td style="text-align:right;"> 3.1573551 </td> <td style="text-align:right;"> 63584 </td> <td style="text-align:right;"> 12.1171697 </td> <td style="text-align:right;"> 4.7555112 </td> <td style="text-align:right;"> 2.384524e+07 </td> <td style="text-align:right;"> 42.683014 </td> <td style="text-align:right;"> 75.423 </td> <td style="text-align:right;"> 68.588 </td> <td style="text-align:right;"> 72.11700 </td> <td style="text-align:right;"> 611468 </td> <td style="text-align:right;"> 116.52714 </td> <td style="text-align:right;"> 25.0 </td> <td style="text-align:right;"> 14.8 </td> <td style="text-align:right;"> 12.8 </td> <td style="text-align:right;"> 17.1 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.7 </td> <td style="text-align:right;"> 102.445 </td> <td style="text-align:right;"> 147.853 </td> <td style="text-align:right;"> 16.7 </td> <td style="text-align:right;"> 15.0 </td> <td style="text-align:right;"> 18.3 </td> <td style="text-align:right;"> 11.7 </td> <td style="text-align:right;"> 19.5 </td> <td style="text-align:right;"> 17.6 </td> <td style="text-align:right;"> 21.4 </td> <td style="text-align:right;"> -470616414 </td> <td style="text-align:right;"> -245640996 </td> <td style="text-align:right;"> 13 </td> <td style="text-align:right;"> 26 </td> <td style="text-align:right;"> 43 </td> <td style="text-align:right;"> 11 </td> <td style="text-align:right;"> 182 </td> <td style="text-align:right;"> 128 </td> <td style="text-align:right;"> 213 </td> <td style="text-align:right;"> 54.9 </td> <td style="text-align:right;"> 25.2 </td> <td style="text-align:right;"> 37.3 </td> <td style="text-align:right;"> 25.8 </td> <td style="text-align:right;"> 65580.0 </td> <td style="text-align:right;"> 47.93382 </td> <td style="text-align:right;"> 1.3 </td> <td style="text-align:right;"> 2.6 </td> <td style="text-align:right;"> 1.1 </td> <td style="text-align:right;"> 4.0 </td> <td style="text-align:right;"> 10.55 </td> <td style="text-align:right;"> 39 </td> <td style="text-align:right;"> 74.3220967 </td> <td style="text-align:right;"> 14.4 </td> <td style="text-align:right;"> 4.8 </td> <td style="text-align:right;"> 24.0 </td> <td style="text-align:right;"> 84.18695 </td> <td style="text-align:right;"> 69.88462 </td> <td style="text-align:right;"> 12.290000 </td> <td style="text-align:right;"> 11.61 </td> <td style="text-align:right;"> 11.900000 </td> <td style="text-align:right;"> 32.92 </td> <td style="text-align:right;"> 27.81 </td> <td style="text-align:right;"> 29.97 </td> </tr> <tr> <td style="text-align:left;"> Cambodia </td> <td style="text-align:left;"> KHM </td> <td style="text-align:right;"> 13.34 </td> <td style="text-align:right;"> 6.1200000 </td> <td style="text-align:right;"> -8.8556887 </td> <td style="text-align:right;"> -1598447754 </td> <td style="text-align:right;"> 83504 </td> <td style="text-align:right;"> 0.5379915 </td> <td style="text-align:right;"> 256387 </td> <td style="text-align:right;"> 1.6518253 </td> <td style="text-align:right;"> 2.1891292 </td> <td style="text-align:right;"> 8.657414e+07 </td> <td style="text-align:right;"> 6.433191 </td> <td style="text-align:right;"> 70.610 </td> <td style="text-align:right;"> 66.474 </td> <td style="text-align:right;"> 68.63700 </td> <td style="text-align:right;"> 20850543 </td> <td style="text-align:right;"> 134.33385 </td> <td style="text-align:right;"> 17.4 </td> <td style="text-align:right;"> 22.8 </td> <td style="text-align:right;"> 19.2 </td> <td style="text-align:right;"> 27.7 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.7 </td> <td style="text-align:right;"> 142.840 </td> <td style="text-align:right;"> 208.468 </td> <td style="text-align:right;"> 27.2 </td> <td style="text-align:right;"> 23.9 </td> <td style="text-align:right;"> 30.2 </td> <td style="text-align:right;"> 16.9 </td> <td style="text-align:right;"> 31.6 </td> <td style="text-align:right;"> 28.0 </td> <td style="text-align:right;"> 35.1 </td> <td style="text-align:right;"> -3948841424 </td> <td style="text-align:right;"> -2236506647 </td> <td style="text-align:right;"> 613 </td> <td style="text-align:right;"> 1254 </td> <td style="text-align:right;"> 1643 </td> <td style="text-align:right;"> 1211 </td> <td style="text-align:right;"> 9939 </td> <td style="text-align:right;"> 6199 </td> <td style="text-align:right;"> 11564 </td> <td style="text-align:right;"> 54.7 </td> <td style="text-align:right;"> 46.2 </td> <td style="text-align:right;"> 51.8 </td> <td style="text-align:right;"> 46.5 </td> <td style="text-align:right;"> 2178916.0 </td> <td style="text-align:right;"> 49.05370 </td> <td style="text-align:right;"> 2.1 </td> <td style="text-align:right;"> 4.0 </td> <td style="text-align:right;"> 3.7 </td> <td style="text-align:right;"> 5.0 </td> <td style="text-align:right;"> 109.36 </td> <td style="text-align:right;"> 158 </td> <td style="text-align:right;"> 10.1794705 </td> <td style="text-align:right;"> 5.1 </td> <td style="text-align:right;"> 2.9 </td> <td style="text-align:right;"> 7.3 </td> <td style="text-align:right;"> 75.91363 </td> <td style="text-align:right;"> 66.55668 </td> <td style="text-align:right;"> 0.460000 </td> <td style="text-align:right;"> 0.33 </td> <td style="text-align:right;"> 0.390000 </td> <td style="text-align:right;"> 0.97 </td> <td style="text-align:right;"> 0.53 </td> <td style="text-align:right;"> 0.74 </td> </tr> <tr> <td style="text-align:left;"> Cameroon </td> <td style="text-align:left;"> CMR </td> <td style="text-align:right;"> 3.94 </td> <td style="text-align:right;"> 2.0600000 </td> <td style="text-align:right;"> -3.7948346 </td> <td style="text-align:right;"> -1173691255 </td> <td style="text-align:right;"> 20447 </td> <td style="text-align:right;"> 0.0877615 </td> <td style="text-align:right;"> 1050281 </td> <td style="text-align:right;"> 4.5079595 </td> <td style="text-align:right;"> 6.3185604 </td> <td style="text-align:right;"> 9.582390e+07 </td> <td style="text-align:right;"> 20.680148 </td> <td style="text-align:right;"> 58.908 </td> <td style="text-align:right;"> 56.270 </td> <td style="text-align:right;"> 57.58300 </td> <td style="text-align:right;"> 18160667 </td> <td style="text-align:right;"> 77.94824 </td> <td style="text-align:right;"> 29.0 </td> <td style="text-align:right;"> 25.5 </td> <td style="text-align:right;"> 23.7 </td> <td style="text-align:right;"> 27.6 </td> <td style="text-align:right;"> 2.9 </td> <td style="text-align:right;"> 2.4 </td> <td style="text-align:right;"> 3.3 </td> <td style="text-align:right;"> 324.623 </td> <td style="text-align:right;"> 355.630 </td> <td style="text-align:right;"> 57.3 </td> <td style="text-align:right;"> 51.4 </td> <td style="text-align:right;"> 63.0 </td> <td style="text-align:right;"> 28.6 </td> <td style="text-align:right;"> 88.5 </td> <td style="text-align:right;"> 81.8 </td> <td style="text-align:right;"> 94.8 </td> <td style="text-align:right;"> -372117130 </td> <td style="text-align:right;"> -1053768053 </td> <td style="text-align:right;"> 5152 </td> <td style="text-align:right;"> 6241 </td> <td style="text-align:right;"> 8041 </td> <td style="text-align:right;"> 10632 </td> <td style="text-align:right;"> 48664 </td> <td style="text-align:right;"> 24657 </td> <td style="text-align:right;"> 74232 </td> <td style="text-align:right;"> 62.6 </td> <td style="text-align:right;"> 40.3 </td> <td style="text-align:right;"> 46.6 </td> <td style="text-align:right;"> 40.9 </td> <td style="text-align:right;"> 4369988.0 </td> <td style="text-align:right;"> 46.95594 </td> <td style="text-align:right;"> 8.9 </td> <td style="text-align:right;"> 12.6 </td> <td style="text-align:right;"> 15.7 </td> <td style="text-align:right;"> 18.3 </td> <td style="text-align:right;"> 638.47 </td> <td style="text-align:right;"> 52 </td> <td style="text-align:right;"> 2.2319160 </td> <td style="text-align:right;"> 9.5 </td> <td style="text-align:right;"> 4.8 </td> <td style="text-align:right;"> 14.1 </td> <td style="text-align:right;"> 55.50188 </td> <td style="text-align:right;"> 50.12668 </td> <td style="text-align:right;"> 4.010000 </td> <td style="text-align:right;"> 3.06 </td> <td style="text-align:right;"> 3.510000 </td> <td style="text-align:right;"> 6.53 </td> <td style="text-align:right;"> 5.56 </td> <td style="text-align:right;"> 6.01 </td> </tr> <tr> <td style="text-align:left;"> Canada </td> <td style="text-align:left;"> CAN </td> <td style="text-align:right;"> 221.49 </td> <td style="text-align:right;"> 22.8400000 </td> <td style="text-align:right;"> -3.5148437 </td> <td style="text-align:right;"> -54695520050 </td> <td style="text-align:right;"> 13115376 </td> <td style="text-align:right;"> 36.4046242 </td> <td style="text-align:right;"> 15612271 </td> <td style="text-align:right;"> 43.3353080 </td> <td style="text-align:right;"> 8.6004150 </td> <td style="text-align:right;"> 7.310988e+09 </td> <td style="text-align:right;"> 90.000000 </td> <td style="text-align:right;"> 84.000 </td> <td style="text-align:right;"> 79.900 </td> <td style="text-align:right;"> 81.90000 </td> <td style="text-align:right;"> 29765000 </td> <td style="text-align:right;"> 82.61933 </td> <td style="text-align:right;"> 5.8 </td> <td style="text-align:right;"> 10.3 </td> <td style="text-align:right;"> 8.6 </td> <td style="text-align:right;"> 12.0 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 50.806 </td> <td style="text-align:right;"> 81.304 </td> <td style="text-align:right;"> 4.6 </td> <td style="text-align:right;"> 4.3 </td> <td style="text-align:right;"> 4.9 </td> <td style="text-align:right;"> 3.5 </td> <td style="text-align:right;"> 5.3 </td> <td style="text-align:right;"> 4.9 </td> <td style="text-align:right;"> 5.7 </td> <td style="text-align:right;"> -18615268414 </td> <td style="text-align:right;"> -38583775871 </td> <td style="text-align:right;"> 233 </td> <td style="text-align:right;"> 737 </td> <td style="text-align:right;"> 1340 </td> <td style="text-align:right;"> 174 </td> <td style="text-align:right;"> 1774 </td> <td style="text-align:right;"> 1357 </td> <td style="text-align:right;"> 2034 </td> <td style="text-align:right;"> 9.0 </td> <td style="text-align:right;"> 9.1 </td> <td style="text-align:right;"> 15.2 </td> <td style="text-align:right;"> 9.3 </td> <td style="text-align:right;"> 2303964.0 </td> <td style="text-align:right;"> 48.86873 </td> <td style="text-align:right;"> 0.6 </td> <td style="text-align:right;"> 1.7 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 2.7 </td> <td style="text-align:right;"> 60533.24 </td> <td style="text-align:right;"> 120922 </td> <td style="text-align:right;"> 3386.8949835 </td> <td style="text-align:right;"> 13.0 </td> <td style="text-align:right;"> 6.9 </td> <td style="text-align:right;"> 19.2 </td> <td style="text-align:right;"> 92.02328 </td> <td style="text-align:right;"> 87.79192 </td> <td style="text-align:right;"> 6.290000 </td> <td style="text-align:right;"> 7.46 </td> <td style="text-align:right;"> 6.910000 </td> <td style="text-align:right;"> 11.23 </td> <td style="text-align:right;"> 15.00 </td> <td style="text-align:right;"> 13.16 </td> </tr> <tr> <td style="text-align:left;"> Chile </td> <td style="text-align:left;"> CHL </td> <td style="text-align:right;"> 55.88 </td> <td style="text-align:right;"> 16.0900000 </td> <td style="text-align:right;"> -2.3512959 </td> <td style="text-align:right;"> -5735259424 </td> <td style="text-align:right;"> 2719439 </td> <td style="text-align:right;"> 15.1337614 </td> <td style="text-align:right;"> 3445880 </td> <td style="text-align:right;"> 19.1764278 </td> <td style="text-align:right;"> 3.3239717 </td> <td style="text-align:right;"> 3.164473e+08 </td> <td style="text-align:right;"> 76.629592 </td> <td style="text-align:right;"> 82.250 </td> <td style="text-align:right;"> 76.892 </td> <td style="text-align:right;"> 79.64600 </td> <td style="text-align:right;"> 23206353 </td> <td style="text-align:right;"> 129.14407 </td> <td style="text-align:right;"> 12.3 </td> <td style="text-align:right;"> 11.6 </td> <td style="text-align:right;"> 9.4 </td> <td style="text-align:right;"> 14.1 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 67.179 </td> <td style="text-align:right;"> 110.554 </td> <td style="text-align:right;"> 6.7 </td> <td style="text-align:right;"> 6.1 </td> <td style="text-align:right;"> 7.3 </td> <td style="text-align:right;"> 5.1 </td> <td style="text-align:right;"> 7.9 </td> <td style="text-align:right;"> 7.2 </td> <td style="text-align:right;"> 8.6 </td> <td style="text-align:right;"> 3426124445 </td> <td style="text-align:right;"> -148600678 </td> <td style="text-align:right;"> 206 </td> <td style="text-align:right;"> 594 </td> <td style="text-align:right;"> 901 </td> <td style="text-align:right;"> 168 </td> <td style="text-align:right;"> 1636 </td> <td style="text-align:right;"> 1230 </td> <td style="text-align:right;"> 1920 </td> <td style="text-align:right;"> 19.5 </td> <td style="text-align:right;"> 7.7 </td> <td style="text-align:right;"> 19.2 </td> <td style="text-align:right;"> 8.0 </td> <td style="text-align:right;"> 1477538.0 </td> <td style="text-align:right;"> 48.34292 </td> <td style="text-align:right;"> 0.8 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 0.7 </td> <td style="text-align:right;"> 3.0 </td> <td style="text-align:right;"> 6037.51 </td> <td style="text-align:right;"> 4025 </td> <td style="text-align:right;"> 223.9924832 </td> <td style="text-align:right;"> 10.0 </td> <td style="text-align:right;"> 4.1 </td> <td style="text-align:right;"> 16.0 </td> <td style="text-align:right;"> 90.00042 </td> <td style="text-align:right;"> 82.75348 </td> <td style="text-align:right;"> 7.140000 </td> <td style="text-align:right;"> 6.06 </td> <td style="text-align:right;"> 6.510000 </td> <td style="text-align:right;"> 18.66 </td> <td style="text-align:right;"> 14.43 </td> <td style="text-align:right;"> 16.15 </td> </tr> <tr> <td style="text-align:left;"> Colombia </td> <td style="text-align:left;"> COL </td> <td style="text-align:right;"> 41.31 </td> <td style="text-align:right;"> 16.2000000 </td> <td style="text-align:right;"> -6.3255032 </td> <td style="text-align:right;"> -18564197281 </td> <td style="text-align:right;"> 5525763 </td> <td style="text-align:right;"> 11.6281259 </td> <td style="text-align:right;"> 7109254 </td> <td style="text-align:right;"> 14.9603414 </td> <td style="text-align:right;"> 4.6531632 </td> <td style="text-align:right;"> 3.455575e+08 </td> <td style="text-align:right;"> 55.904972 </td> <td style="text-align:right;"> 79.346 </td> <td style="text-align:right;"> 73.686 </td> <td style="text-align:right;"> 76.53100 </td> <td style="text-align:right;"> 57327470 </td> <td style="text-align:right;"> 120.63692 </td> <td style="text-align:right;"> 18.0 </td> <td style="text-align:right;"> 10.3 </td> <td style="text-align:right;"> 9.6 </td> <td style="text-align:right;"> 11.2 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 89.300 </td> <td style="text-align:right;"> 190.835 </td> <td style="text-align:right;"> 13.4 </td> <td style="text-align:right;"> 11.9 </td> <td style="text-align:right;"> 15.0 </td> <td style="text-align:right;"> 8.5 </td> <td style="text-align:right;"> 15.6 </td> <td style="text-align:right;"> 13.8 </td> <td style="text-align:right;"> 17.3 </td> <td style="text-align:right;"> -13478638990 </td> <td style="text-align:right;"> -18266562787 </td> <td style="text-align:right;"> 1180 </td> <td style="text-align:right;"> 4017 </td> <td style="text-align:right;"> 5959 </td> <td style="text-align:right;"> 872 </td> <td style="text-align:right;"> 9957 </td> <td style="text-align:right;"> 6314 </td> <td style="text-align:right;"> 11590 </td> <td style="text-align:right;"> 26.8 </td> <td style="text-align:right;"> 21.0 </td> <td style="text-align:right;"> 23.0 </td> <td style="text-align:right;"> 21.1 </td> <td style="text-align:right;"> 4479218.0 </td> <td style="text-align:right;"> 48.11949 </td> <td style="text-align:right;"> 1.4 </td> <td style="text-align:right;"> 4.7 </td> <td style="text-align:right;"> 1.1 </td> <td style="text-align:right;"> 6.9 </td> <td style="text-align:right;"> 5409.93 </td> <td style="text-align:right;"> 3389 </td> <td style="text-align:right;"> 71.3163391 </td> <td style="text-align:right;"> 4.1 </td> <td style="text-align:right;"> 1.9 </td> <td style="text-align:right;"> 6.5 </td> <td style="text-align:right;"> 86.40648 </td> <td style="text-align:right;"> 77.22808 </td> <td style="text-align:right;"> 10.840000 </td> <td style="text-align:right;"> 6.36 </td> <td style="text-align:right;"> 8.300000 </td> <td style="text-align:right;"> 22.82 </td> <td style="text-align:right;"> 12.42 </td> <td style="text-align:right;"> 16.64 </td> </tr> <tr> <td style="text-align:left;"> Congo, Dem. Rep. </td> <td style="text-align:left;"> COD </td> <td style="text-align:right;"> 1.31 </td> <td style="text-align:right;"> 1.0300000 </td> <td style="text-align:right;"> -3.9131045 </td> <td style="text-align:right;"> -1483759412 </td> <td style="text-align:right;"> 1000 </td> <td style="text-align:right;"> 0.0013116 </td> <td style="text-align:right;"> 0 </td> <td style="text-align:right;"> 0.0000000 </td> <td style="text-align:right;"> 4.6502335 </td> <td style="text-align:right;"> 8.061126e+06 </td> <td style="text-align:right;"> 3.800000 </td> <td style="text-align:right;"> 60.726 </td> <td style="text-align:right;"> 57.790 </td> <td style="text-align:right;"> 59.25400 </td> <td style="text-align:right;"> 37752782 </td> <td style="text-align:right;"> 49.51539 </td> <td style="text-align:right;"> 33.5 </td> <td style="text-align:right;"> 24.3 </td> <td style="text-align:right;"> 22.5 </td> <td style="text-align:right;"> 26.2 </td> <td style="text-align:right;"> 2.3 </td> <td style="text-align:right;"> 1.3 </td> <td style="text-align:right;"> 3.3 </td> <td style="text-align:right;"> 235.692 </td> <td style="text-align:right;"> 284.355 </td> <td style="text-align:right;"> 73.8 </td> <td style="text-align:right;"> 66.9 </td> <td style="text-align:right;"> 80.2 </td> <td style="text-align:right;"> 29.6 </td> <td style="text-align:right;"> 97.2 </td> <td style="text-align:right;"> 89.7 </td> <td style="text-align:right;"> 104.2 </td> <td style="text-align:right;"> -289835894 </td> <td style="text-align:right;"> -2308129161 </td> <td style="text-align:right;"> 20022 </td> <td style="text-align:right;"> 31374 </td> <td style="text-align:right;"> 27119 </td> <td style="text-align:right;"> 32685 </td> <td style="text-align:right;"> 235939 </td> <td style="text-align:right;"> 96813 </td> <td style="text-align:right;"> 307119 </td> <td style="text-align:right;"> 63.8 </td> <td style="text-align:right;"> 43.4 </td> <td style="text-align:right;"> 48.6 </td> <td style="text-align:right;"> 44.1 </td> <td style="text-align:right;"> 13763196.0 </td> <td style="text-align:right;"> 49.46434 </td> <td style="text-align:right;"> 10.4 </td> <td style="text-align:right;"> 19.8 </td> <td style="text-align:right;"> 13.9 </td> <td style="text-align:right;"> 20.5 </td> <td style="text-align:right;"> 124.13 </td> <td style="text-align:right;"> 39 </td> <td style="text-align:right;"> 0.5115120 </td> <td style="text-align:right;"> 6.6 </td> <td style="text-align:right;"> 2.8 </td> <td style="text-align:right;"> 10.4 </td> <td style="text-align:right;"> 60.57097 </td> <td style="text-align:right;"> 54.72243 </td> <td style="text-align:right;"> 3.560000 </td> <td style="text-align:right;"> 5.19 </td> <td style="text-align:right;"> 4.400000 </td> <td style="text-align:right;"> 6.40 </td> <td style="text-align:right;"> 10.44 </td> <td style="text-align:right;"> 8.25 </td> </tr> <tr> <td style="text-align:left;"> Costa Rica </td> <td style="text-align:left;"> CRI </td> <td style="text-align:right;"> 60.60 </td> <td style="text-align:right;"> 22.1000000 </td> <td style="text-align:right;"> -3.5074908 </td> <td style="text-align:right;"> -1921262983 </td> <td style="text-align:right;"> 558656 </td> <td style="text-align:right;"> 11.5238982 </td> <td style="text-align:right;"> 859514 </td> <td style="text-align:right;"> 17.7299660 </td> <td style="text-align:right;"> 13.0194949 </td> <td style="text-align:right;"> 1.001667e+09 </td> <td style="text-align:right;"> 59.762950 </td> <td style="text-align:right;"> 82.184 </td> <td style="text-align:right;"> 77.029 </td> <td style="text-align:right;"> 79.56500 </td> <td style="text-align:right;"> 7535599 </td> <td style="text-align:right;"> 155.44356 </td> <td style="text-align:right;"> 16.5 </td> <td style="text-align:right;"> 9.8 </td> <td style="text-align:right;"> 7.7 </td> <td style="text-align:right;"> 11.8 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.0 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 59.535 </td> <td style="text-align:right;"> 111.808 </td> <td style="text-align:right;"> 7.7 </td> <td style="text-align:right;"> 7.1 </td> <td style="text-align:right;"> 8.2 </td> <td style="text-align:right;"> 6.2 </td> <td style="text-align:right;"> 9.0 </td> <td style="text-align:right;"> 8.3 </td> <td style="text-align:right;"> 9.7 </td> <td style="text-align:right;"> -4607090132 </td> <td style="text-align:right;"> 1558624 </td> <td style="text-align:right;"> 76 </td> <td style="text-align:right;"> 222 </td> <td style="text-align:right;"> 373 </td> <td style="text-align:right;"> 56 </td> <td style="text-align:right;"> 548 </td> <td style="text-align:right;"> 445 </td> <td style="text-align:right;"> 648 </td> <td style="text-align:right;"> 28.5 </td> <td style="text-align:right;"> 12.4 </td> <td style="text-align:right;"> 17.1 </td> <td style="text-align:right;"> 12.6 </td> <td style="text-align:right;"> 473447.0 </td> <td style="text-align:right;"> 48.70302 </td> <td style="text-align:right;"> 1.0 </td> <td style="text-align:right;"> 2.8 </td> <td style="text-align:right;"> 0.8 </td> <td style="text-align:right;"> 4.4 </td> <td style="text-align:right;"> 361.64 </td> <td style="text-align:right;"> 1517 </td> <td style="text-align:right;"> 312.9251925 </td> <td style="text-align:right;"> 6.7 </td> <td style="text-align:right;"> 2.3 </td> <td style="text-align:right;"> 11.2 </td> <td style="text-align:right;"> 89.90257 </td> <td style="text-align:right;"> 82.48395 </td> <td style="text-align:right;"> 11.150000 </td> <td style="text-align:right;"> 7.60 </td> <td style="text-align:right;"> 9.000000 </td> <td style="text-align:right;"> 26.92 </td> <td style="text-align:right;"> 19.87 </td> <td style="text-align:right;"> 22.68 </td> </tr> <tr> <td style="text-align:left;"> Cote d'Ivoire </td> <td style="text-align:left;"> CIV </td> <td style="text-align:right;"> 6.75 </td> <td style="text-align:right;"> 4.9200000 </td> <td style="text-align:right;"> -0.4395383 </td> <td style="text-align:right;"> -201372902 </td> <td style="text-align:right;"> 109707 </td> <td style="text-align:right;"> 0.4723427 </td> <td style="text-align:right;"> 277248 </td> <td style="text-align:right;"> 1.1936894 </td> <td style="text-align:right;"> 10.3995905 </td> <td style="text-align:right;"> 7.967799e+07 </td> <td style="text-align:right;"> 38.440000 </td> <td style="text-align:right;"> 57.344 </td> <td style="text-align:right;"> 54.935 </td> <td style="text-align:right;"> 56.06500 </td> <td style="text-align:right;"> 25407610 </td> <td style="text-align:right;"> 109.39229 </td> <td style="text-align:right;"> 23.2 </td> <td style="text-align:right;"> 23.6 </td> <td style="text-align:right;"> 20.9 </td> <td style="text-align:right;"> 25.8 </td> <td style="text-align:right;"> 2.8 </td> <td style="text-align:right;"> 1.9 </td> <td style="text-align:right;"> 3.7 </td> <td style="text-align:right;"> 377.062 </td> <td style="text-align:right;"> 415.854 </td> <td style="text-align:right;"> 65.3 </td> <td style="text-align:right;"> 57.5 </td> <td style="text-align:right;"> 72.8 </td> <td style="text-align:right;"> 35.6 </td> <td style="text-align:right;"> 90.6 </td> <td style="text-align:right;"> 81.5 </td> <td style="text-align:right;"> 99.2 </td> <td style="text-align:right;"> 3169812031 </td> <td style="text-align:right;"> 1150470393 </td> <td style="text-align:right;"> 6452 </td> <td style="text-align:right;"> 6460 </td> <td style="text-align:right;"> 7146 </td> <td style="text-align:right;"> 9949 </td> <td style="text-align:right;"> 54292 </td> <td style="text-align:right;"> 30142 </td> <td style="text-align:right;"> 74364 </td> <td style="text-align:right;"> 73.6 </td> <td style="text-align:right;"> 51.3 </td> <td style="text-align:right;"> 55.4 </td> <td style="text-align:right;"> 51.7 </td> <td style="text-align:right;"> 3370558.0 </td> <td style="text-align:right;"> 46.71188 </td> <td style="text-align:right;"> 10.9 </td> <td style="text-align:right;"> 12.4 </td> <td style="text-align:right;"> 15.3 </td> <td style="text-align:right;"> 16.3 </td> <td style="text-align:right;"> 191.85 </td> <td style="text-align:right;"> 117 </td> <td style="text-align:right;"> 5.0374270 </td> <td style="text-align:right;"> 10.0 </td> <td style="text-align:right;"> 3.3 </td> <td style="text-align:right;"> 16.6 </td> <td style="text-align:right;"> 51.13170 </td> <td style="text-align:right;"> 46.12532 </td> <td style="text-align:right;"> 3.980000 </td> <td style="text-align:right;"> 2.54 </td> <td style="text-align:right;"> 3.100000 </td> <td style="text-align:right;"> 6.05 </td> <td style="text-align:right;"> 3.57 </td> <td style="text-align:right;"> 4.58 </td> </tr> <tr> <td style="text-align:left;"> Croatia </td> <td style="text-align:left;"> HRV </td> <td style="text-align:right;"> 122.98 </td> <td style="text-align:right;"> 33.4900000 </td> <td style="text-align:right;"> 3.2198055 </td> <td style="text-align:right;"> 1594632749 </td> <td style="text-align:right;"> 986215 </td> <td style="text-align:right;"> 23.2989454 </td> <td style="text-align:right;"> 1476506 </td> <td style="text-align:right;"> 34.8818793 </td> <td style="text-align:right;"> 4.5970081 </td> <td style="text-align:right;"> 5.371273e+08 </td> <td style="text-align:right;"> 69.845036 </td> <td style="text-align:right;"> 80.400 </td> <td style="text-align:right;"> 74.300 </td> <td style="text-align:right;"> 77.27561 </td> <td style="text-align:right;"> 4415660 </td> <td style="text-align:right;"> 104.31825 </td> <td style="text-align:right;"> 9.3 </td> <td style="text-align:right;"> 17.6 </td> <td style="text-align:right;"> 11.4 </td> <td style="text-align:right;"> 24.1 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 54.093 </td> <td style="text-align:right;"> 126.364 </td> <td style="text-align:right;"> 4.2 </td> <td style="text-align:right;"> 3.8 </td> <td style="text-align:right;"> 4.6 </td> <td style="text-align:right;"> 3.1 </td> <td style="text-align:right;"> 4.9 </td> <td style="text-align:right;"> 4.5 </td> <td style="text-align:right;"> 5.4 </td> <td style="text-align:right;"> -7909090519 </td> <td style="text-align:right;"> 134722304 </td> <td style="text-align:right;"> 23 </td> <td style="text-align:right;"> 71 </td> <td style="text-align:right;"> 106 </td> <td style="text-align:right;"> 23 </td> <td style="text-align:right;"> 166 </td> <td style="text-align:right;"> 122 </td> <td style="text-align:right;"> 196 </td> <td style="text-align:right;"> 26.4 </td> <td style="text-align:right;"> 20.4 </td> <td style="text-align:right;"> 23.2 </td> <td style="text-align:right;"> 20.5 </td> <td style="text-align:right;"> 162355.0 </td> <td style="text-align:right;"> 48.67051 </td> <td style="text-align:right;"> 0.6 </td> <td style="text-align:right;"> 1.5 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 4050.72 </td> <td style="text-align:right;"> 2672 </td> <td style="text-align:right;"> 635.6450322 </td> <td style="text-align:right;"> 17.6 </td> <td style="text-align:right;"> 9.2 </td> <td style="text-align:right;"> 26.7 </td> <td style="text-align:right;"> 90.87149 </td> <td style="text-align:right;"> 79.52212 </td> <td style="text-align:right;"> 16.900000 </td> <td style="text-align:right;"> 15.55 </td> <td style="text-align:right;"> 16.180000 </td> <td style="text-align:right;"> 43.68 </td> <td style="text-align:right;"> 41.41 </td> <td style="text-align:right;"> 42.34 </td> </tr> <tr> <td style="text-align:left;"> Cyprus </td> <td style="text-align:left;"> CYP </td> <td style="text-align:right;"> 51.20 </td> <td style="text-align:right;"> 36.1700000 </td> <td style="text-align:right;"> -0.4208681 </td> <td style="text-align:right;"> -83510340 </td> <td style="text-align:right;"> 260640 </td> <td style="text-align:right;"> 30.7249794 </td> <td style="text-align:right;"> 323707 </td> <td style="text-align:right;"> 38.1594955 </td> <td style="text-align:right;"> 12.3720138 </td> <td style="text-align:right;"> 1.324967e+09 </td> <td style="text-align:right;"> 71.715741 </td> <td style="text-align:right;"> 82.539 </td> <td style="text-align:right;"> 78.165 </td> <td style="text-align:right;"> 80.35000 </td> <td style="text-align:right;"> 1111123 </td> <td style="text-align:right;"> 130.98232 </td> <td style="text-align:right;"> 6.7 </td> <td style="text-align:right;"> 9.7 </td> <td style="text-align:right;"> 6.6 </td> <td style="text-align:right;"> 12.9 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.0 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 34.322 </td> <td style="text-align:right;"> 68.965 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 2.0 </td> <td style="text-align:right;"> 2.4 </td> <td style="text-align:right;"> 1.6 </td> <td style="text-align:right;"> 2.7 </td> <td style="text-align:right;"> 2.5 </td> <td style="text-align:right;"> 3.0 </td> <td style="text-align:right;"> -3586349876 </td> <td style="text-align:right;"> 522735394 </td> <td style="text-align:right;"> 6 </td> <td style="text-align:right;"> 21 </td> <td style="text-align:right;"> 45 </td> <td style="text-align:right;"> 8 </td> <td style="text-align:right;"> 28 </td> <td style="text-align:right;"> 20 </td> <td style="text-align:right;"> 35 </td> <td style="text-align:right;"> 16.7 </td> <td style="text-align:right;"> 12.3 </td> <td style="text-align:right;"> 18.0 </td> <td style="text-align:right;"> 12.4 </td> <td style="text-align:right;"> 53773.0 </td> <td style="text-align:right;"> 48.64709 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 1.3 </td> <td style="text-align:right;"> 0.6 </td> <td style="text-align:right;"> 2.1 </td> <td style="text-align:right;"> 935.15 </td> <td style="text-align:right;"> 2760 </td> <td style="text-align:right;"> 2377.2916963 </td> <td style="text-align:right;"> 4.7 </td> <td style="text-align:right;"> 2.1 </td> <td style="text-align:right;"> 7.3 </td> <td style="text-align:right;"> 93.58593 </td> <td style="text-align:right;"> 88.14773 </td> <td style="text-align:right;"> 14.770001 </td> <td style="text-align:right;"> 15.03 </td> <td style="text-align:right;"> 14.910000 </td> <td style="text-align:right;"> 29.84 </td> <td style="text-align:right;"> 32.68 </td> <td style="text-align:right;"> 31.31 </td> </tr> <tr> <td style="text-align:left;"> Czech Republic </td> <td style="text-align:left;"> CZE </td> <td style="text-align:right;"> 50.86 </td> <td style="text-align:right;"> 23.6800000 </td> <td style="text-align:right;"> 0.4495257 </td> <td style="text-align:right;"> 845256961 </td> <td style="text-align:right;"> 2946626 </td> <td style="text-align:right;"> 27.7946954 </td> <td style="text-align:right;"> 1906594 </td> <td style="text-align:right;"> 17.9843656 </td> <td style="text-align:right;"> 11.7898556 </td> <td style="text-align:right;"> 2.744369e+09 </td> <td style="text-align:right;"> 75.668839 </td> <td style="text-align:right;"> 81.600 </td> <td style="text-align:right;"> 75.700 </td> <td style="text-align:right;"> 78.57805 </td> <td style="text-align:right;"> 12454575 </td> <td style="text-align:right;"> 117.48051 </td> <td style="text-align:right;"> 7.2 </td> <td style="text-align:right;"> 15.6 </td> <td style="text-align:right;"> 10.6 </td> <td style="text-align:right;"> 20.7 </td> <td style="text-align:right;"> 0.8 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 1.2 </td> <td style="text-align:right;"> 52.944 </td> <td style="text-align:right;"> 112.133 </td> <td style="text-align:right;"> 2.5 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 2.8 </td> <td style="text-align:right;"> 1.6 </td> <td style="text-align:right;"> 3.2 </td> <td style="text-align:right;"> 2.8 </td> <td style="text-align:right;"> 3.5 </td> <td style="text-align:right;"> 7630892278 </td> <td style="text-align:right;"> 11152289235 </td> <td style="text-align:right;"> 49 </td> <td style="text-align:right;"> 143 </td> <td style="text-align:right;"> 294 </td> <td style="text-align:right;"> 49 </td> <td style="text-align:right;"> 280 </td> <td style="text-align:right;"> 176 </td> <td style="text-align:right;"> 350 </td> <td style="text-align:right;"> 25.2 </td> <td style="text-align:right;"> 20.5 </td> <td style="text-align:right;"> 22.6 </td> <td style="text-align:right;"> 20.5 </td> <td style="text-align:right;"> 534932.0 </td> <td style="text-align:right;"> 48.77199 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 1.6 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 2.4 </td> <td style="text-align:right;"> 16700.33 </td> <td style="text-align:right;"> 21607 </td> <td style="text-align:right;"> 2048.8222188 </td> <td style="text-align:right;"> 13.6 </td> <td style="text-align:right;"> 5.0 </td> <td style="text-align:right;"> 22.5 </td> <td style="text-align:right;"> 90.88547 </td> <td style="text-align:right;"> 81.56240 </td> <td style="text-align:right;"> 6.070000 </td> <td style="text-align:right;"> 4.23 </td> <td style="text-align:right;"> 5.050000 </td> <td style="text-align:right;"> 14.44 </td> <td style="text-align:right;"> 11.32 </td> <td style="text-align:right;"> 12.60 </td> </tr> <tr> <td style="text-align:left;"> Denmark </td> <td style="text-align:left;"> DNK </td> <td style="text-align:right;"> 51.82 </td> <td style="text-align:right;"> 24.6900000 </td> <td style="text-align:right;"> 8.2442921 </td> <td style="text-align:right;"> 24953251921 </td> <td style="text-align:right;"> 2404962 </td> <td style="text-align:right;"> 42.2761635 </td> <td style="text-align:right;"> 1519712 </td> <td style="text-align:right;"> 26.7145980 </td> <td style="text-align:right;"> 6.0340490 </td> <td style="text-align:right;"> 3.886732e+09 </td> <td style="text-align:right;"> 96.330502 </td> <td style="text-align:right;"> 82.700 </td> <td style="text-align:right;"> 78.800 </td> <td style="text-align:right;"> 80.70244 </td> <td style="text-align:right;"> 7079249 </td> <td style="text-align:right;"> 124.44417 </td> <td style="text-align:right;"> 3.5 </td> <td style="text-align:right;"> 11.9 </td> <td style="text-align:right;"> 10.1 </td> <td style="text-align:right;"> 13.8 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 51.397 </td> <td style="text-align:right;"> 82.945 </td> <td style="text-align:right;"> 3.5 </td> <td style="text-align:right;"> 3.0 </td> <td style="text-align:right;"> 3.9 </td> <td style="text-align:right;"> 3.3 </td> <td style="text-align:right;"> 4.1 </td> <td style="text-align:right;"> 3.5 </td> <td style="text-align:right;"> 4.6 </td> <td style="text-align:right;"> 14375236791 </td> <td style="text-align:right;"> 20566339100 </td> <td style="text-align:right;"> 24 </td> <td style="text-align:right;"> 70 </td> <td style="text-align:right;"> 115 </td> <td style="text-align:right;"> 21 </td> <td style="text-align:right;"> 206 </td> <td style="text-align:right;"> 193 </td> <td style="text-align:right;"> 242 </td> <td style="text-align:right;"> 12.0 </td> <td style="text-align:right;"> 11.5 </td> <td style="text-align:right;"> 16.5 </td> <td style="text-align:right;"> 11.6 </td> <td style="text-align:right;"> 468536.0 </td> <td style="text-align:right;"> 48.48251 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 1.0 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 1.5 </td> <td style="text-align:right;"> 14214.95 </td> <td style="text-align:right;"> 34129 </td> <td style="text-align:right;"> 6004.9445032 </td> <td style="text-align:right;"> 10.9 </td> <td style="text-align:right;"> 7.2 </td> <td style="text-align:right;"> 14.7 </td> <td style="text-align:right;"> 90.89822 </td> <td style="text-align:right;"> 85.70996 </td> <td style="text-align:right;"> 6.530000 </td> <td style="text-align:right;"> 6.06 </td> <td style="text-align:right;"> 6.280000 </td> <td style="text-align:right;"> 11.11 </td> <td style="text-align:right;"> 13.06 </td> <td style="text-align:right;"> 12.11 </td> </tr> <tr> <td style="text-align:left;"> Djibouti </td> <td style="text-align:left;"> DJI </td> <td style="text-align:right;"> 8.35 </td> <td style="text-align:right;"> 5.9900000 </td> <td style="text-align:right;"> 29.3887086 </td> <td style="text-align:right;"> 714230250 </td> <td style="text-align:right;"> 24165 </td> <td style="text-align:right;"> 2.6438933 </td> <td style="text-align:right;"> 22902 </td> <td style="text-align:right;"> 2.5057085 </td> <td style="text-align:right;"> 2.0643953 </td> <td style="text-align:right;"> 1.947445e+07 </td> <td style="text-align:right;"> 11.922431 </td> <td style="text-align:right;"> 66.086 </td> <td style="text-align:right;"> 62.399 </td> <td style="text-align:right;"> 64.13600 </td> <td style="text-align:right;"> 314350 </td> <td style="text-align:right;"> 34.39304 </td> <td style="text-align:right;"> 23.9 </td> <td style="text-align:right;"> 22.3 </td> <td style="text-align:right;"> 20.6 </td> <td style="text-align:right;"> 23.9 </td> <td style="text-align:right;"> 2.6 </td> <td style="text-align:right;"> 2.1 </td> <td style="text-align:right;"> 3.1 </td> <td style="text-align:right;"> 228.307 </td> <td style="text-align:right;"> 275.191 </td> <td style="text-align:right;"> 54.3 </td> <td style="text-align:right;"> 49.4 </td> <td style="text-align:right;"> 58.9 </td> <td style="text-align:right;"> 33.5 </td> <td style="text-align:right;"> 65.3 </td> <td style="text-align:right;"> 59.7 </td> <td style="text-align:right;"> 70.7 </td> <td style="text-align:right;"> 135167679 </td> <td style="text-align:right;"> 544992122 </td> <td style="text-align:right;"> 102 </td> <td style="text-align:right;"> 212 </td> <td style="text-align:right;"> 315 </td> <td style="text-align:right;"> 160 </td> <td style="text-align:right;"> 1128 </td> <td style="text-align:right;"> 701 </td> <td style="text-align:right;"> 1362 </td> <td style="text-align:right;"> 42.2 </td> <td style="text-align:right;"> 31.0 </td> <td style="text-align:right;"> 37.2 </td> <td style="text-align:right;"> 31.3 </td> <td style="text-align:right;"> 62940.0 </td> <td style="text-align:right;"> 46.42040 </td> <td style="text-align:right;"> 5.6 </td> <td style="text-align:right;"> 11.7 </td> <td style="text-align:right;"> 8.9 </td> <td style="text-align:right;"> 17.9 </td> <td style="text-align:right;"> 5.71 </td> <td style="text-align:right;"> 10 </td> <td style="text-align:right;"> 10.9410028 </td> <td style="text-align:right;"> 9.0 </td> <td style="text-align:right;"> 6.1 </td> <td style="text-align:right;"> 11.6 </td> <td style="text-align:right;"> 68.22366 </td> <td style="text-align:right;"> 61.24030 </td> <td style="text-align:right;"> 11.600000 </td> <td style="text-align:right;"> 11.25 </td> <td style="text-align:right;"> 11.390000 </td> <td style="text-align:right;"> 21.87 </td> <td style="text-align:right;"> 21.93 </td> <td style="text-align:right;"> 21.90 </td> </tr> <tr> <td style="text-align:left;"> Dominican Republic </td> <td style="text-align:left;"> DOM </td> <td style="text-align:right;"> 36.58 </td> <td style="text-align:right;"> 12.6700000 </td> <td style="text-align:right;"> -1.7990629 </td> <td style="text-align:right;"> -1280300000 </td> <td style="text-align:right;"> 686107 </td> <td style="text-align:right;"> 6.6731021 </td> <td style="text-align:right;"> 1304968 </td> <td style="text-align:right;"> 12.6921670 </td> <td style="text-align:right;"> 2.2315628 </td> <td style="text-align:right;"> 1.683000e+08 </td> <td style="text-align:right;"> 54.215766 </td> <td style="text-align:right;"> 76.525 </td> <td style="text-align:right;"> 70.189 </td> <td style="text-align:right;"> 73.24100 </td> <td style="text-align:right;"> 8797247 </td> <td style="text-align:right;"> 85.56235 </td> <td style="text-align:right;"> 32.9 </td> <td style="text-align:right;"> 21.5 </td> <td style="text-align:right;"> 17.4 </td> <td style="text-align:right;"> 25.6 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 0.6 </td> <td style="text-align:right;"> 119.214 </td> <td style="text-align:right;"> 204.020 </td> <td style="text-align:right;"> 26.0 </td> <td style="text-align:right;"> 23.5 </td> <td style="text-align:right;"> 28.4 </td> <td style="text-align:right;"> 21.4 </td> <td style="text-align:right;"> 31.3 </td> <td style="text-align:right;"> 28.3 </td> <td style="text-align:right;"> 34.1 </td> <td style="text-align:right;"> -7464700000 </td> <td style="text-align:right;"> -3096900000 </td> <td style="text-align:right;"> 308 </td> <td style="text-align:right;"> 949 </td> <td style="text-align:right;"> 1706 </td> <td style="text-align:right;"> 316 </td> <td style="text-align:right;"> 5409 </td> <td style="text-align:right;"> 4473 </td> <td style="text-align:right;"> 6510 </td> <td style="text-align:right;"> 27.7 </td> <td style="text-align:right;"> 27.2 </td> <td style="text-align:right;"> 28.7 </td> <td style="text-align:right;"> 27.3 </td> <td style="text-align:right;"> 1307128.0 </td> <td style="text-align:right;"> 46.84010 </td> <td style="text-align:right;"> 1.6 </td> <td style="text-align:right;"> 4.9 </td> <td style="text-align:right;"> 1.6 </td> <td style="text-align:right;"> 8.9 </td> <td style="text-align:right;"> 34.62 </td> <td style="text-align:right;"> 477 </td> <td style="text-align:right;"> 46.3931964 </td> <td style="text-align:right;"> 6.4 </td> <td style="text-align:right;"> 2.4 </td> <td style="text-align:right;"> 10.4 </td> <td style="text-align:right;"> 80.79632 </td> <td style="text-align:right;"> 70.28256 </td> <td style="text-align:right;"> 10.910000 </td> <td style="text-align:right;"> 5.48 </td> <td style="text-align:right;"> 7.610000 </td> <td style="text-align:right;"> 24.28 </td> <td style="text-align:right;"> 12.18 </td> <td style="text-align:right;"> 16.50 </td> </tr> <tr> <td style="text-align:left;"> Ecuador </td> <td style="text-align:left;"> ECU </td> <td style="text-align:right;"> 33.61 </td> <td style="text-align:right;"> 11.5100000 </td> <td style="text-align:right;"> -2.2369607 </td> <td style="text-align:right;"> -2221086837 </td> <td style="text-align:right;"> 1487592 </td> <td style="text-align:right;"> 9.1758584 </td> <td style="text-align:right;"> 2512657 </td> <td style="text-align:right;"> 15.4987287 </td> <td style="text-align:right;"> 3.6867115 </td> <td style="text-align:right;"> 8.838200e+07 </td> <td style="text-align:right;"> 48.940434 </td> <td style="text-align:right;"> 79.021 </td> <td style="text-align:right;"> 73.378 </td> <td style="text-align:right;"> 76.14300 </td> <td style="text-align:right;"> 12943791 </td> <td style="text-align:right;"> 79.84070 </td> <td style="text-align:right;"> 23.5 </td> <td style="text-align:right;"> 11.7 </td> <td style="text-align:right;"> 10.9 </td> <td style="text-align:right;"> 12.6 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 86.029 </td> <td style="text-align:right;"> 161.783 </td> <td style="text-align:right;"> 13.0 </td> <td style="text-align:right;"> 11.4 </td> <td style="text-align:right;"> 14.6 </td> <td style="text-align:right;"> 7.9 </td> <td style="text-align:right;"> 15.1 </td> <td style="text-align:right;"> 13.3 </td> <td style="text-align:right;"> 16.8 </td> <td style="text-align:right;"> -1649793991 </td> <td style="text-align:right;"> -2455040237 </td> <td style="text-align:right;"> 640 </td> <td style="text-align:right;"> 1320 </td> <td style="text-align:right;"> 1966 </td> <td style="text-align:right;"> 506 </td> <td style="text-align:right;"> 4298 </td> <td style="text-align:right;"> 2621 </td> <td style="text-align:right;"> 4984 </td> <td style="text-align:right;"> 27.9 </td> <td style="text-align:right;"> 16.7 </td> <td style="text-align:right;"> 22.2 </td> <td style="text-align:right;"> 17.0 </td> <td style="text-align:right;"> 1998135.0 </td> <td style="text-align:right;"> 49.03968 </td> <td style="text-align:right;"> 2.1 </td> <td style="text-align:right;"> 4.3 </td> <td style="text-align:right;"> 1.6 </td> <td style="text-align:right;"> 6.8 </td> <td style="text-align:right;"> 668.72 </td> <td style="text-align:right;"> 1319 </td> <td style="text-align:right;"> 81.3593864 </td> <td style="text-align:right;"> 8.8 </td> <td style="text-align:right;"> 4.3 </td> <td style="text-align:right;"> 13.3 </td> <td style="text-align:right;"> 84.93435 </td> <td style="text-align:right;"> 76.35080 </td> <td style="text-align:right;"> 4.520000 </td> <td style="text-align:right;"> 3.02 </td> <td style="text-align:right;"> 3.620000 </td> <td style="text-align:right;"> 11.58 </td> <td style="text-align:right;"> 7.21 </td> <td style="text-align:right;"> 8.81 </td> </tr> <tr> <td style="text-align:left;"> El Salvador </td> <td style="text-align:left;"> SLV </td> <td style="text-align:right;"> 35.76 </td> <td style="text-align:right;"> 11.4600000 </td> <td style="text-align:right;"> -3.2159294 </td> <td style="text-align:right;"> -753757240 </td> <td style="text-align:right;"> 353001 </td> <td style="text-align:right;"> 5.5809341 </td> <td style="text-align:right;"> 944266 </td> <td style="text-align:right;"> 14.9288140 </td> <td style="text-align:right;"> 7.4282170 </td> <td style="text-align:right;"> 1.840031e+08 </td> <td style="text-align:right;"> 26.802605 </td> <td style="text-align:right;"> 76.949 </td> <td style="text-align:right;"> 67.571 </td> <td style="text-align:right;"> 72.41200 </td> <td style="text-align:right;"> 9334132 </td> <td style="text-align:right;"> 147.57232 </td> <td style="text-align:right;"> 20.8 </td> <td style="text-align:right;"> 10.8 </td> <td style="text-align:right;"> 8.9 </td> <td style="text-align:right;"> 13.2 </td> <td style="text-align:right;"> 0.6 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 1.1 </td> <td style="text-align:right;"> 103.002 </td> <td style="text-align:right;"> 261.317 </td> <td style="text-align:right;"> 13.2 </td> <td style="text-align:right;"> 11.8 </td> <td style="text-align:right;"> 14.5 </td> <td style="text-align:right;"> 7.6 </td> <td style="text-align:right;"> 15.3 </td> <td style="text-align:right;"> 13.7 </td> <td style="text-align:right;"> 16.9 </td> <td style="text-align:right;"> -4970351312 </td> <td style="text-align:right;"> -4011020504 </td> <td style="text-align:right;"> 249 </td> <td style="text-align:right;"> 1131 </td> <td style="text-align:right;"> 1219 </td> <td style="text-align:right;"> 137 </td> <td style="text-align:right;"> 1560 </td> <td style="text-align:right;"> 901 </td> <td style="text-align:right;"> 1816 </td> <td style="text-align:right;"> 29.8 </td> <td style="text-align:right;"> 9.7 </td> <td style="text-align:right;"> 15.3 </td> <td style="text-align:right;"> 9.9 </td> <td style="text-align:right;"> 741394.0 </td> <td style="text-align:right;"> 47.84878 </td> <td style="text-align:right;"> 2.0 </td> <td style="text-align:right;"> 8.3 </td> <td style="text-align:right;"> 1.2 </td> <td style="text-align:right;"> 9.7 </td> <td style="text-align:right;"> 23.71 </td> <td style="text-align:right;"> 286 </td> <td style="text-align:right;"> 45.2165048 </td> <td style="text-align:right;"> 6.9 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 12.3 </td> <td style="text-align:right;"> 82.97656 </td> <td style="text-align:right;"> 64.71643 </td> <td style="text-align:right;"> 3.470000 </td> <td style="text-align:right;"> 4.38 </td> <td style="text-align:right;"> 4.000000 </td> <td style="text-align:right;"> 10.01 </td> <td style="text-align:right;"> 8.17 </td> <td style="text-align:right;"> 8.80 </td> </tr> <tr> <td style="text-align:left;"> Estonia </td> <td style="text-align:left;"> EST </td> <td style="text-align:right;"> 72.61 </td> <td style="text-align:right;"> 11.1500000 </td> <td style="text-align:right;"> 1.7496501 </td> <td style="text-align:right;"> 403274474 </td> <td style="text-align:right;"> 390275 </td> <td style="text-align:right;"> 29.6713740 </td> <td style="text-align:right;"> 387607 </td> <td style="text-align:right;"> 29.4685344 </td> <td style="text-align:right;"> 8.6382317 </td> <td style="text-align:right;"> 5.061134e+08 </td> <td style="text-align:right;"> 88.409704 </td> <td style="text-align:right;"> 82.200 </td> <td style="text-align:right;"> 73.200 </td> <td style="text-align:right;"> 77.59024 </td> <td style="text-align:right;"> 1903545 </td> <td style="text-align:right;"> 144.72051 </td> <td style="text-align:right;"> 6.4 </td> <td style="text-align:right;"> 17.1 </td> <td style="text-align:right;"> 10.5 </td> <td style="text-align:right;"> 25.0 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.7 </td> <td style="text-align:right;"> 62.825 </td> <td style="text-align:right;"> 169.877 </td> <td style="text-align:right;"> 2.5 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 2.7 </td> <td style="text-align:right;"> 1.4 </td> <td style="text-align:right;"> 3.1 </td> <td style="text-align:right;"> 2.8 </td> <td style="text-align:right;"> 3.5 </td> <td style="text-align:right;"> -973431701 </td> <td style="text-align:right;"> 900319517 </td> <td style="text-align:right;"> 9 </td> <td style="text-align:right;"> 25 </td> <td style="text-align:right;"> 50 </td> <td style="text-align:right;"> 10 </td> <td style="text-align:right;"> 34 </td> <td style="text-align:right;"> 20 </td> <td style="text-align:right;"> 44 </td> <td style="text-align:right;"> 25.3 </td> <td style="text-align:right;"> 21.1 </td> <td style="text-align:right;"> 23.1 </td> <td style="text-align:right;"> 21.2 </td> <td style="text-align:right;"> 79594.0 </td> <td style="text-align:right;"> 48.64688 </td> <td style="text-align:right;"> 0.7 </td> <td style="text-align:right;"> 2.1 </td> <td style="text-align:right;"> 0.6 </td> <td style="text-align:right;"> 3.3 </td> <td style="text-align:right;"> 1578.23 </td> <td style="text-align:right;"> 4105 </td> <td style="text-align:right;"> 3120.7071271 </td> <td style="text-align:right;"> 15.9 </td> <td style="text-align:right;"> 5.4 </td> <td style="text-align:right;"> 27.9 </td> <td style="text-align:right;"> 90.19731 </td> <td style="text-align:right;"> 74.67998 </td> <td style="text-align:right;"> 6.130000 </td> <td style="text-align:right;"> 6.24 </td> <td style="text-align:right;"> 6.190000 </td> <td style="text-align:right;"> 12.20 </td> <td style="text-align:right;"> 13.79 </td> <td style="text-align:right;"> 13.10 </td> </tr> <tr> <td style="text-align:left;"> Eswatini </td> <td style="text-align:left;"> SWZ </td> <td style="text-align:right;"> 38.22 </td> <td style="text-align:right;"> 8.0300000 </td> <td style="text-align:right;"> 13.1274548 </td> <td style="text-align:right;"> 533323971 </td> <td style="text-align:right;"> 6000 </td> <td style="text-align:right;"> 0.5434566 </td> <td style="text-align:right;"> 43000 </td> <td style="text-align:right;"> 3.8947723 </td> <td style="text-align:right;"> 8.5342736 </td> <td style="text-align:right;"> 6.395624e+06 </td> <td style="text-align:right;"> 25.643042 </td> <td style="text-align:right;"> 59.383 </td> <td style="text-align:right;"> 51.781 </td> <td style="text-align:right;"> 55.35900 </td> <td style="text-align:right;"> 941000 </td> <td style="text-align:right;"> 85.23211 </td> <td style="text-align:right;"> 31.5 </td> <td style="text-align:right;"> 38.0 </td> <td style="text-align:right;"> 28.0 </td> <td style="text-align:right;"> 47.6 </td> <td style="text-align:right;"> 3.7 </td> <td style="text-align:right;"> 2.8 </td> <td style="text-align:right;"> 4.7 </td> <td style="text-align:right;"> 362.131 </td> <td style="text-align:right;"> 507.511 </td> <td style="text-align:right;"> 45.9 </td> <td style="text-align:right;"> 41.0 </td> <td style="text-align:right;"> 50.4 </td> <td style="text-align:right;"> 19.6 </td> <td style="text-align:right;"> 59.2 </td> <td style="text-align:right;"> 54.0 </td> <td style="text-align:right;"> 64.1 </td> <td style="text-align:right;"> 176929211 </td> <td style="text-align:right;"> 53319674 </td> <td style="text-align:right;"> 103 </td> <td style="text-align:right;"> 278 </td> <td style="text-align:right;"> 379 </td> <td style="text-align:right;"> 326 </td> <td style="text-align:right;"> 1393 </td> <td style="text-align:right;"> 600 </td> <td style="text-align:right;"> 1810 </td> <td style="text-align:right;"> 41.8 </td> <td style="text-align:right;"> 29.6 </td> <td style="text-align:right;"> 32.4 </td> <td style="text-align:right;"> 29.8 </td> <td style="text-align:right;"> 241404.0 </td> <td style="text-align:right;"> 47.53857 </td> <td style="text-align:right;"> 3.7 </td> <td style="text-align:right;"> 10.8 </td> <td style="text-align:right;"> 10.9 </td> <td style="text-align:right;"> 16.4 </td> <td style="text-align:right;"> 20.08 </td> <td style="text-align:right;"> 29 </td> <td style="text-align:right;"> 26.2670691 </td> <td style="text-align:right;"> 35.1 </td> <td style="text-align:right;"> 9.5 </td> <td style="text-align:right;"> 62.6 </td> <td style="text-align:right;"> 50.58648 </td> <td style="text-align:right;"> 32.64253 </td> <td style="text-align:right;"> 25.350000 </td> <td style="text-align:right;"> 21.63 </td> <td style="text-align:right;"> 23.440001 </td> <td style="text-align:right;"> 50.23 </td> <td style="text-align:right;"> 44.33 </td> <td style="text-align:right;"> 47.18 </td> </tr> <tr> <td style="text-align:left;"> Fiji </td> <td style="text-align:left;"> FJI </td> <td style="text-align:right;"> 47.92 </td> <td style="text-align:right;"> 12.8000000 </td> <td style="text-align:right;"> -3.4981940 </td> <td style="text-align:right;"> -163804572 </td> <td style="text-align:right;"> 12734 </td> <td style="text-align:right;"> 1.4659917 </td> <td style="text-align:right;"> 72565 </td> <td style="text-align:right;"> 8.3539885 </td> <td style="text-align:right;"> 1.3930685 </td> <td style="text-align:right;"> 1.827257e+07 </td> <td style="text-align:right;"> 42.500000 </td> <td style="text-align:right;"> 68.818 </td> <td style="text-align:right;"> 65.517 </td> <td style="text-align:right;"> 67.10300 </td> <td style="text-align:right;"> 965950 </td> <td style="text-align:right;"> 111.20423 </td> <td style="text-align:right;"> 10.7 </td> <td style="text-align:right;"> 38.5 </td> <td style="text-align:right;"> 34.3 </td> <td style="text-align:right;"> 42.6 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 137.366 </td> <td style="text-align:right;"> 234.350 </td> <td style="text-align:right;"> 20.6 </td> <td style="text-align:right;"> 18.7 </td> <td style="text-align:right;"> 22.3 </td> <td style="text-align:right;"> 9.9 </td> <td style="text-align:right;"> 24.3 </td> <td style="text-align:right;"> 22.2 </td> <td style="text-align:right;"> 26.3 </td> <td style="text-align:right;"> -909256251 </td> <td style="text-align:right;"> -165165713 </td> <td style="text-align:right;"> 42 </td> <td style="text-align:right;"> 61 </td> <td style="text-align:right;"> 98 </td> <td style="text-align:right;"> 39 </td> <td style="text-align:right;"> 394 </td> <td style="text-align:right;"> 191 </td> <td style="text-align:right;"> 465 </td> <td style="text-align:right;"> 37.7 </td> <td style="text-align:right;"> 30.8 </td> <td style="text-align:right;"> 42.6 </td> <td style="text-align:right;"> 31.5 </td> <td style="text-align:right;"> 108727.0 </td> <td style="text-align:right;"> 48.12604 </td> <td style="text-align:right;"> 2.7 </td> <td style="text-align:right;"> 4.1 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 6.5 </td> <td style="text-align:right;"> 99.52 </td> <td style="text-align:right;"> 79 </td> <td style="text-align:right;"> 90.9481285 </td> <td style="text-align:right;"> 9.4 </td> <td style="text-align:right;"> 5.7 </td> <td style="text-align:right;"> 13.0 </td> <td style="text-align:right;"> 72.20444 </td> <td style="text-align:right;"> 61.94732 </td> <td style="text-align:right;"> 5.450000 </td> <td style="text-align:right;"> 3.81 </td> <td style="text-align:right;"> 4.360000 </td> <td style="text-align:right;"> 20.90 </td> <td style="text-align:right;"> 11.94 </td> <td style="text-align:right;"> 15.06 </td> </tr> <tr> <td style="text-align:left;"> Finland </td> <td style="text-align:left;"> FIN </td> <td style="text-align:right;"> 33.75 </td> <td style="text-align:right;"> 8.4900000 </td> <td style="text-align:right;"> -0.7177415 </td> <td style="text-align:right;"> -1682673752 </td> <td style="text-align:right;"> 1729897 </td> <td style="text-align:right;"> 31.5610016 </td> <td style="text-align:right;"> 537200 </td> <td style="text-align:right;"> 9.8009130 </td> <td style="text-align:right;"> 31.7056001 </td> <td style="text-align:right;"> 8.124747e+09 </td> <td style="text-align:right;"> 86.422133 </td> <td style="text-align:right;"> 84.400 </td> <td style="text-align:right;"> 78.700 </td> <td style="text-align:right;"> 81.48049 </td> <td style="text-align:right;"> 7396200 </td> <td style="text-align:right;"> 134.93953 </td> <td style="text-align:right;"> 5.1 </td> <td style="text-align:right;"> 10.6 </td> <td style="text-align:right;"> 7.3 </td> <td style="text-align:right;"> 14.0 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 43.460 </td> <td style="text-align:right;"> 94.277 </td> <td style="text-align:right;"> 2.0 </td> <td style="text-align:right;"> 1.8 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 1.4 </td> <td style="text-align:right;"> 2.5 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 2.7 </td> <td style="text-align:right;"> 2128854488 </td> <td style="text-align:right;"> -1080608392 </td> <td style="text-align:right;"> 26 </td> <td style="text-align:right;"> 91 </td> <td style="text-align:right;"> 174 </td> <td style="text-align:right;"> 24 </td> <td style="text-align:right;"> 114 </td> <td style="text-align:right;"> 77 </td> <td style="text-align:right;"> 140 </td> <td style="text-align:right;"> 11.9 </td> <td style="text-align:right;"> 9.8 </td> <td style="text-align:right;"> 15.6 </td> <td style="text-align:right;"> 10.0 </td> <td style="text-align:right;"> 355231.0 </td> <td style="text-align:right;"> 48.77024 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 1.5 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 2.5 </td> <td style="text-align:right;"> 10942.46 </td> <td style="text-align:right;"> 18604 </td> <td style="text-align:right;"> 3395.1810839 </td> <td style="text-align:right;"> 14.0 </td> <td style="text-align:right;"> 6.6 </td> <td style="text-align:right;"> 21.7 </td> <td style="text-align:right;"> 92.61887 </td> <td style="text-align:right;"> 84.55173 </td> <td style="text-align:right;"> 8.840000 </td> <td style="text-align:right;"> 9.88 </td> <td style="text-align:right;"> 9.380000 </td> <td style="text-align:right;"> 19.58 </td> <td style="text-align:right;"> 24.98 </td> <td style="text-align:right;"> 22.27 </td> </tr> <tr> <td style="text-align:left;"> France </td> <td style="text-align:left;"> FRA </td> <td style="text-align:right;"> 107.23 </td> <td style="text-align:right;"> 37.6000000 </td> <td style="text-align:right;"> -0.3744733 </td> <td style="text-align:right;"> -9130436717 </td> <td style="text-align:right;"> 26867000 </td> <td style="text-align:right;"> 41.6845091 </td> <td style="text-align:right;"> 38929000 </td> <td style="text-align:right;"> 60.3988631 </td> <td style="text-align:right;"> 6.7355676 </td> <td style="text-align:right;"> 1.721481e+10 </td> <td style="text-align:right;"> 78.006038 </td> <td style="text-align:right;"> 85.600 </td> <td style="text-align:right;"> 79.200 </td> <td style="text-align:right;"> 82.32195 </td> <td style="text-align:right;"> 66681000 </td> <td style="text-align:right;"> 103.45646 </td> <td style="text-align:right;"> 5.5 </td> <td style="text-align:right;"> 11.0 </td> <td style="text-align:right;"> 7.5 </td> <td style="text-align:right;"> 14.7 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 49.377 </td> <td style="text-align:right;"> 101.590 </td> <td style="text-align:right;"> 3.5 </td> <td style="text-align:right;"> 3.1 </td> <td style="text-align:right;"> 3.8 </td> <td style="text-align:right;"> 2.4 </td> <td style="text-align:right;"> 4.1 </td> <td style="text-align:right;"> 3.7 </td> <td style="text-align:right;"> 4.5 </td> <td style="text-align:right;"> -32061697861 </td> <td style="text-align:right;"> -9832355282 </td> <td style="text-align:right;"> 343 </td> <td style="text-align:right;"> 877 </td> <td style="text-align:right;"> 1440 </td> <td style="text-align:right;"> 297 </td> <td style="text-align:right;"> 2644 </td> <td style="text-align:right;"> 1826 </td> <td style="text-align:right;"> 3159 </td> <td style="text-align:right;"> 12.2 </td> <td style="text-align:right;"> 9.2 </td> <td style="text-align:right;"> 15.3 </td> <td style="text-align:right;"> 9.4 </td> <td style="text-align:right;"> 4255988.0 </td> <td style="text-align:right;"> 48.71999 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 1.1 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 1.9 </td> <td style="text-align:right;"> 71925.79 </td> <td style="text-align:right;"> 126340 </td> <td style="text-align:right;"> 1898.4715336 </td> <td style="text-align:right;"> 15.8 </td> <td style="text-align:right;"> 8.4 </td> <td style="text-align:right;"> 23.7 </td> <td style="text-align:right;"> 92.25748 </td> <td style="text-align:right;"> 84.46312 </td> <td style="text-align:right;"> 9.900000 </td> <td style="text-align:right;"> 10.77 </td> <td style="text-align:right;"> 10.350000 </td> <td style="text-align:right;"> 23.31 </td> <td style="text-align:right;"> 25.62 </td> <td style="text-align:right;"> 24.59 </td> </tr> <tr> <td style="text-align:left;"> Gambia, The </td> <td style="text-align:left;"> GMB </td> <td style="text-align:right;"> 5.70 </td> <td style="text-align:right;"> 8.3800000 </td> <td style="text-align:right;"> -7.1960146 </td> <td style="text-align:right;"> -99173809 </td> <td style="text-align:right;"> 3573 </td> <td style="text-align:right;"> 0.1712963 </td> <td style="text-align:right;"> 45000 </td> <td style="text-align:right;"> 2.1573835 </td> <td style="text-align:right;"> 1.5798563 </td> <td style="text-align:right;"> 2.450228e+06 </td> <td style="text-align:right;"> 16.500000 </td> <td style="text-align:right;"> 62.275 </td> <td style="text-align:right;"> 59.602 </td> <td style="text-align:right;"> 60.91000 </td> <td style="text-align:right;"> 2715672 </td> <td style="text-align:right;"> 130.19436 </td> <td style="text-align:right;"> 27.8 </td> <td style="text-align:right;"> 21.9 </td> <td style="text-align:right;"> 20.5 </td> <td style="text-align:right;"> 23.3 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 1.6 </td> <td style="text-align:right;"> 2.8 </td> <td style="text-align:right;"> 234.236 </td> <td style="text-align:right;"> 289.177 </td> <td style="text-align:right;"> 39.8 </td> <td style="text-align:right;"> 35.1 </td> <td style="text-align:right;"> 44.2 </td> <td style="text-align:right;"> 29.9 </td> <td style="text-align:right;"> 60.0 </td> <td style="text-align:right;"> 54.7 </td> <td style="text-align:right;"> 65.0 </td> <td style="text-align:right;"> -228632202 </td> <td style="text-align:right;"> -190104171 </td> <td style="text-align:right;"> 267 </td> <td style="text-align:right;"> 410 </td> <td style="text-align:right;"> 484 </td> <td style="text-align:right;"> 418 </td> <td style="text-align:right;"> 3247 </td> <td style="text-align:right;"> 2479 </td> <td style="text-align:right;"> 4808 </td> <td style="text-align:right;"> 75.8 </td> <td style="text-align:right;"> 53.5 </td> <td style="text-align:right;"> 57.3 </td> <td style="text-align:right;"> 53.9 </td> <td style="text-align:right;"> 293503.0 </td> <td style="text-align:right;"> 51.21583 </td> <td style="text-align:right;"> 5.2 </td> <td style="text-align:right;"> 8.9 </td> <td style="text-align:right;"> 6.8 </td> <td style="text-align:right;"> 11.8 </td> <td style="text-align:right;"> 43.15 </td> <td style="text-align:right;"> 17 </td> <td style="text-align:right;"> 8.1501155 </td> <td style="text-align:right;"> 5.1 </td> <td style="text-align:right;"> 3.3 </td> <td style="text-align:right;"> 6.9 </td> <td style="text-align:right;"> 62.77487 </td> <td style="text-align:right;"> 55.80235 </td> <td style="text-align:right;"> 12.520001 </td> <td style="text-align:right;"> 6.80 </td> <td style="text-align:right;"> 9.300000 </td> <td style="text-align:right;"> 17.27 </td> <td style="text-align:right;"> 9.20 </td> <td style="text-align:right;"> 12.83 </td> </tr> <tr> <td style="text-align:left;"> Georgia </td> <td style="text-align:left;"> GEO </td> <td style="text-align:right;"> 70.13 </td> <td style="text-align:right;"> 32.1700000 </td> <td style="text-align:right;"> -11.8164227 </td> <td style="text-align:right;"> -1767022015 </td> <td style="text-align:right;"> 635644 </td> <td style="text-align:right;"> 15.7956037 </td> <td style="text-align:right;"> 950167 </td> <td style="text-align:right;"> 23.6114262 </td> <td style="text-align:right;"> 1.4577943 </td> <td style="text-align:right;"> 4.500389e+07 </td> <td style="text-align:right;"> 47.569760 </td> <td style="text-align:right;"> 77.402 </td> <td style="text-align:right;"> 68.517 </td> <td style="text-align:right;"> 72.97300 </td> <td style="text-align:right;"> 5550730 </td> <td style="text-align:right;"> 137.93433 </td> <td style="text-align:right;"> 15.8 </td> <td style="text-align:right;"> 25.5 </td> <td style="text-align:right;"> 16.5 </td> <td style="text-align:right;"> 35.5 </td> <td style="text-align:right;"> 0.7 </td> <td style="text-align:right;"> 0.7 </td> <td style="text-align:right;"> 0.6 </td> <td style="text-align:right;"> 81.089 </td> <td style="text-align:right;"> 231.382 </td> <td style="text-align:right;"> 9.4 </td> <td style="text-align:right;"> 8.2 </td> <td style="text-align:right;"> 10.5 </td> <td style="text-align:right;"> 6.7 </td> <td style="text-align:right;"> 10.5 </td> <td style="text-align:right;"> 9.2 </td> <td style="text-align:right;"> 11.7 </td> <td style="text-align:right;"> -3951941700 </td> <td style="text-align:right;"> -2547799840 </td> <td style="text-align:right;"> 59 </td> <td style="text-align:right;"> 130 </td> <td style="text-align:right;"> 229 </td> <td style="text-align:right;"> 63 </td> <td style="text-align:right;"> 533 </td> <td style="text-align:right;"> 380 </td> <td style="text-align:right;"> 599 </td> <td style="text-align:right;"> 23.1 </td> <td style="text-align:right;"> 26.8 </td> <td style="text-align:right;"> 27.8 </td> <td style="text-align:right;"> 26.8 </td> <td style="text-align:right;"> 288541.0 </td> <td style="text-align:right;"> 47.16973 </td> <td style="text-align:right;"> 1.3 </td> <td style="text-align:right;"> 2.7 </td> <td style="text-align:right;"> 1.2 </td> <td style="text-align:right;"> 4.1 </td> <td style="text-align:right;"> 494.82 </td> <td style="text-align:right;"> 442 </td> <td style="text-align:right;"> 118.6489270 </td> <td style="text-align:right;"> 10.5 </td> <td style="text-align:right;"> 3.6 </td> <td style="text-align:right;"> 18.1 </td> <td style="text-align:right;"> 86.44272 </td> <td style="text-align:right;"> 66.42876 </td> <td style="text-align:right;"> 13.900000 </td> <td style="text-align:right;"> 18.68 </td> <td style="text-align:right;"> 16.510000 </td> <td style="text-align:right;"> 39.54 </td> <td style="text-align:right;"> 34.80 </td> <td style="text-align:right;"> 36.50 </td> </tr> <tr> <td style="text-align:left;"> Germany </td> <td style="text-align:left;"> DEU </td> <td style="text-align:right;"> 122.30 </td> <td style="text-align:right;"> 14.0600000 </td> <td style="text-align:right;"> 8.5995370 </td> <td style="text-align:right;"> 288620732320 </td> <td style="text-align:right;"> 30707429 </td> <td style="text-align:right;"> 37.5454225 </td> <td style="text-align:right;"> 45350000 </td> <td style="text-align:right;"> 55.4486313 </td> <td style="text-align:right;"> 10.4790425 </td> <td style="text-align:right;"> 2.943349e+10 </td> <td style="text-align:right;"> 87.589799 </td> <td style="text-align:right;"> 83.100 </td> <td style="text-align:right;"> 78.300 </td> <td style="text-align:right;"> 80.64146 </td> <td style="text-align:right;"> 96360000 </td> <td style="text-align:right;"> 117.81764 </td> <td style="text-align:right;"> 4.4 </td> <td style="text-align:right;"> 12.6 </td> <td style="text-align:right;"> 9.2 </td> <td style="text-align:right;"> 15.9 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 50.173 </td> <td style="text-align:right;"> 92.451 </td> <td style="text-align:right;"> 3.3 </td> <td style="text-align:right;"> 3.0 </td> <td style="text-align:right;"> 3.6 </td> <td style="text-align:right;"> 2.3 </td> <td style="text-align:right;"> 3.9 </td> <td style="text-align:right;"> 3.6 </td> <td style="text-align:right;"> 4.2 </td> <td style="text-align:right;"> 275591821307 </td> <td style="text-align:right;"> 255037515084 </td> <td style="text-align:right;"> 326 </td> <td style="text-align:right;"> 985 </td> <td style="text-align:right;"> 1442 </td> <td style="text-align:right;"> 277 </td> <td style="text-align:right;"> 2401 </td> <td style="text-align:right;"> 1692 </td> <td style="text-align:right;"> 2837 </td> <td style="text-align:right;"> 11.7 </td> <td style="text-align:right;"> 10.1 </td> <td style="text-align:right;"> 15.6 </td> <td style="text-align:right;"> 10.2 </td> <td style="text-align:right;"> 2879394.0 </td> <td style="text-align:right;"> 48.55900 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 1.2 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 1.6 </td> <td style="text-align:right;"> 106452.92 </td> <td style="text-align:right;"> 351083 </td> <td style="text-align:right;"> 4297.9258865 </td> <td style="text-align:right;"> 13.3 </td> <td style="text-align:right;"> 7.3 </td> <td style="text-align:right;"> 19.5 </td> <td style="text-align:right;"> 91.88418 </td> <td style="text-align:right;"> 84.93476 </td> <td style="text-align:right;"> 4.220000 </td> <td style="text-align:right;"> 4.97 </td> <td style="text-align:right;"> 4.620000 </td> <td style="text-align:right;"> 6.47 </td> <td style="text-align:right;"> 7.88 </td> <td style="text-align:right;"> 7.23 </td> </tr> <tr> <td style="text-align:left;"> Greece </td> <td style="text-align:left;"> GRC </td> <td style="text-align:right;"> 58.68 </td> <td style="text-align:right;"> 26.8400000 </td> <td style="text-align:right;"> -0.8196657 </td> <td style="text-align:right;"> -1611391808 </td> <td style="text-align:right;"> 3439034 </td> <td style="text-align:right;"> 32.2618636 </td> <td style="text-align:right;"> 5260560 </td> <td style="text-align:right;"> 49.3497502 </td> <td style="text-align:right;"> 2.5427631 </td> <td style="text-align:right;"> 8.926778e+08 </td> <td style="text-align:right;"> 66.834959 </td> <td style="text-align:right;"> 83.700 </td> <td style="text-align:right;"> 78.500 </td> <td style="text-align:right;"> 81.03659 </td> <td style="text-align:right;"> 12566649 </td> <td style="text-align:right;"> 117.88878 </td> <td style="text-align:right;"> 9.3 </td> <td style="text-align:right;"> 13.1 </td> <td style="text-align:right;"> 8.1 </td> <td style="text-align:right;"> 18.2 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 43.712 </td> <td style="text-align:right;"> 97.799 </td> <td style="text-align:right;"> 3.9 </td> <td style="text-align:right;"> 3.6 </td> <td style="text-align:right;"> 4.2 </td> <td style="text-align:right;"> 2.7 </td> <td style="text-align:right;"> 4.4 </td> <td style="text-align:right;"> 4.0 </td> <td style="text-align:right;"> 4.7 </td> <td style="text-align:right;"> -19602740554 </td> <td style="text-align:right;"> -1220057197 </td> <td style="text-align:right;"> 54 </td> <td style="text-align:right;"> 141 </td> <td style="text-align:right;"> 233 </td> <td style="text-align:right;"> 50 </td> <td style="text-align:right;"> 351 </td> <td style="text-align:right;"> 237 </td> <td style="text-align:right;"> 403 </td> <td style="text-align:right;"> 13.1 </td> <td style="text-align:right;"> 13.5 </td> <td style="text-align:right;"> 19.6 </td> <td style="text-align:right;"> 13.6 </td> <td style="text-align:right;"> 643762.0 </td> <td style="text-align:right;"> 48.47475 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 1.3 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 2.1 </td> <td style="text-align:right;"> 11237.15 </td> <td style="text-align:right;"> 4436 </td> <td style="text-align:right;"> 409.9480606 </td> <td style="text-align:right;"> 5.0 </td> <td style="text-align:right;"> 2.0 </td> <td style="text-align:right;"> 8.2 </td> <td style="text-align:right;"> 93.16422 </td> <td style="text-align:right;"> 84.89772 </td> <td style="text-align:right;"> 28.889999 </td> <td style="text-align:right;"> 21.75 </td> <td style="text-align:right;"> 24.900000 </td> <td style="text-align:right;"> 55.14 </td> <td style="text-align:right;"> 45.20 </td> <td style="text-align:right;"> 49.72 </td> </tr> <tr> <td style="text-align:left;"> Guatemala </td> <td style="text-align:left;"> GTM </td> <td style="text-align:right;"> 36.07 </td> <td style="text-align:right;"> 35.9000000 </td> <td style="text-align:right;"> -1.2443077 </td> <td style="text-align:right;"> -773787480 </td> <td style="text-align:right;"> 459847 </td> <td style="text-align:right;"> 2.8294048 </td> <td style="text-align:right;"> 1718851 </td> <td style="text-align:right;"> 10.5759637 </td> <td style="text-align:right;"> 16.3069158 </td> <td style="text-align:right;"> 5.287658e+08 </td> <td style="text-align:right;"> 28.805942 </td> <td style="text-align:right;"> 76.262 </td> <td style="text-align:right;"> 70.172 </td> <td style="text-align:right;"> 73.25000 </td> <td style="text-align:right;"> 18121390 </td> <td style="text-align:right;"> 111.49958 </td> <td style="text-align:right;"> 14.0 </td> <td style="text-align:right;"> 17.3 </td> <td style="text-align:right;"> 17.1 </td> <td style="text-align:right;"> 17.4 </td> <td style="text-align:right;"> 1.8 </td> <td style="text-align:right;"> 1.1 </td> <td style="text-align:right;"> 2.5 </td> <td style="text-align:right;"> 113.667 </td> <td style="text-align:right;"> 213.958 </td> <td style="text-align:right;"> 23.7 </td> <td style="text-align:right;"> 21.0 </td> <td style="text-align:right;"> 26.3 </td> <td style="text-align:right;"> 14.0 </td> <td style="text-align:right;"> 28.3 </td> <td style="text-align:right;"> 25.3 </td> <td style="text-align:right;"> 31.2 </td> <td style="text-align:right;"> -6439153300 </td> <td style="text-align:right;"> -6358444100 </td> <td style="text-align:right;"> 860 </td> <td style="text-align:right;"> 2332 </td> <td style="text-align:right;"> 2883 </td> <td style="text-align:right;"> 708 </td> <td style="text-align:right;"> 9804 </td> <td style="text-align:right;"> 5842 </td> <td style="text-align:right;"> 11681 </td> <td style="text-align:right;"> 37.1 </td> <td style="text-align:right;"> 8.5 </td> <td style="text-align:right;"> 14.7 </td> <td style="text-align:right;"> 8.9 </td> <td style="text-align:right;"> 2381916.0 </td> <td style="text-align:right;"> 48.14800 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 6.4 </td> <td style="text-align:right;"> 1.8 </td> <td style="text-align:right;"> 8.8 </td> <td style="text-align:right;"> 83.29 </td> <td style="text-align:right;"> 463 </td> <td style="text-align:right;"> 29.7416033 </td> <td style="text-align:right;"> 5.8 </td> <td style="text-align:right;"> 2.9 </td> <td style="text-align:right;"> 8.9 </td> <td style="text-align:right;"> 81.32031 </td> <td style="text-align:right;"> 70.68136 </td> <td style="text-align:right;"> 3.540000 </td> <td style="text-align:right;"> 2.00 </td> <td style="text-align:right;"> 2.510000 </td> <td style="text-align:right;"> 10.06 </td> <td style="text-align:right;"> 3.84 </td> <td style="text-align:right;"> 5.67 </td> </tr> <tr> <td style="text-align:left;"> Honduras </td> <td style="text-align:left;"> HND </td> <td style="text-align:right;"> 23.25 </td> <td style="text-align:right;"> 19.3100000 </td> <td style="text-align:right;"> -4.6709067 </td> <td style="text-align:right;"> -979945387 </td> <td style="text-align:right;"> 197379 </td> <td style="text-align:right;"> 2.1659258 </td> <td style="text-align:right;"> 497072 </td> <td style="text-align:right;"> 5.4545878 </td> <td style="text-align:right;"> 8.3055502 </td> <td style="text-align:right;"> 2.441594e+08 </td> <td style="text-align:right;"> 27.100000 </td> <td style="text-align:right;"> 76.829 </td> <td style="text-align:right;"> 72.148 </td> <td style="text-align:right;"> 74.49500 </td> <td style="text-align:right;"> 8048388 </td> <td style="text-align:right;"> 88.31847 </td> <td style="text-align:right;"> 16.0 </td> <td style="text-align:right;"> 21.2 </td> <td style="text-align:right;"> 20.5 </td> <td style="text-align:right;"> 22.0 </td> <td style="text-align:right;"> 0.8 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 1.5 </td> <td style="text-align:right;"> 120.104 </td> <td style="text-align:right;"> 172.935 </td> <td style="text-align:right;"> 16.5 </td> <td style="text-align:right;"> 14.6 </td> <td style="text-align:right;"> 18.3 </td> <td style="text-align:right;"> 10.5 </td> <td style="text-align:right;"> 19.3 </td> <td style="text-align:right;"> 17.1 </td> <td style="text-align:right;"> 21.3 </td> <td style="text-align:right;"> -4668104989 </td> <td style="text-align:right;"> -3394077721 </td> <td style="text-align:right;"> 561 </td> <td style="text-align:right;"> 882 </td> <td style="text-align:right;"> 1168 </td> <td style="text-align:right;"> 452 </td> <td style="text-align:right;"> 3364 </td> <td style="text-align:right;"> 2153 </td> <td style="text-align:right;"> 3934 </td> <td style="text-align:right;"> 31.4 </td> <td style="text-align:right;"> 16.6 </td> <td style="text-align:right;"> 21.6 </td> <td style="text-align:right;"> 16.9 </td> <td style="text-align:right;"> 1154139.0 </td> <td style="text-align:right;"> 48.83398 </td> <td style="text-align:right;"> 2.7 </td> <td style="text-align:right;"> 4.3 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 6.4 </td> <td style="text-align:right;"> 30.85 </td> <td style="text-align:right;"> 185 </td> <td style="text-align:right;"> 20.3008565 </td> <td style="text-align:right;"> 4.0 </td> <td style="text-align:right;"> 0.8 </td> <td style="text-align:right;"> 7.2 </td> <td style="text-align:right;"> 81.62221 </td> <td style="text-align:right;"> 74.57267 </td> <td style="text-align:right;"> 8.960000 </td> <td style="text-align:right;"> 4.51 </td> <td style="text-align:right;"> 6.150000 </td> <td style="text-align:right;"> 19.81 </td> <td style="text-align:right;"> 6.85 </td> <td style="text-align:right;"> 11.19 </td> </tr> <tr> <td style="text-align:left;"> Hungary </td> <td style="text-align:left;"> HUN </td> <td style="text-align:right;"> 57.25 </td> <td style="text-align:right;"> 15.1300000 </td> <td style="text-align:right;"> 2.3390230 </td> <td style="text-align:right;"> 2925516290 </td> <td style="text-align:right;"> 2718794 </td> <td style="text-align:right;"> 27.8054348 </td> <td style="text-align:right;"> 3094228 </td> <td style="text-align:right;"> 31.6450436 </td> <td style="text-align:right;"> 8.0809092 </td> <td style="text-align:right;"> 1.817860e+09 </td> <td style="text-align:right;"> 72.834737 </td> <td style="text-align:right;"> 79.000 </td> <td style="text-align:right;"> 72.300 </td> <td style="text-align:right;"> 75.56829 </td> <td style="text-align:right;"> 9900582 </td> <td style="text-align:right;"> 101.25445 </td> <td style="text-align:right;"> 7.8 </td> <td style="text-align:right;"> 23.2 </td> <td style="text-align:right;"> 16.5 </td> <td style="text-align:right;"> 30.7 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.7 </td> <td style="text-align:right;"> 85.926 </td> <td style="text-align:right;"> 177.627 </td> <td style="text-align:right;"> 4.3 </td> <td style="text-align:right;"> 3.9 </td> <td style="text-align:right;"> 4.6 </td> <td style="text-align:right;"> 2.7 </td> <td style="text-align:right;"> 5.1 </td> <td style="text-align:right;"> 4.7 </td> <td style="text-align:right;"> 5.5 </td> <td style="text-align:right;"> 4504456526 </td> <td style="text-align:right;"> 9953574436 </td> <td style="text-align:right;"> 61 </td> <td style="text-align:right;"> 147 </td> <td style="text-align:right;"> 249 </td> <td style="text-align:right;"> 46 </td> <td style="text-align:right;"> 387 </td> <td style="text-align:right;"> 248 </td> <td style="text-align:right;"> 464 </td> <td style="text-align:right;"> 25.9 </td> <td style="text-align:right;"> 19.5 </td> <td style="text-align:right;"> 22.8 </td> <td style="text-align:right;"> 19.6 </td> <td style="text-align:right;"> 395549.0 </td> <td style="text-align:right;"> 48.55050 </td> <td style="text-align:right;"> 0.6 </td> <td style="text-align:right;"> 1.4 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 2.0 </td> <td style="text-align:right;"> 6533.46 </td> <td style="text-align:right;"> 9120 </td> <td style="text-align:right;"> 926.5441488 </td> <td style="text-align:right;"> 19.9 </td> <td style="text-align:right;"> 9.9 </td> <td style="text-align:right;"> 31.0 </td> <td style="text-align:right;"> 86.59978 </td> <td style="text-align:right;"> 72.01742 </td> <td style="text-align:right;"> 7.040000 </td> <td style="text-align:right;"> 6.62 </td> <td style="text-align:right;"> 6.810000 </td> <td style="text-align:right;"> 15.91 </td> <td style="text-align:right;"> 18.20 </td> <td style="text-align:right;"> 17.21 </td> </tr> <tr> <td style="text-align:left;"> Iceland </td> <td style="text-align:left;"> ISL </td> <td style="text-align:right;"> 73.59 </td> <td style="text-align:right;"> 36.4200000 </td> <td style="text-align:right;"> 5.6730566 </td> <td style="text-align:right;"> 986493571 </td> <td style="text-align:right;"> 124436 </td> <td style="text-align:right;"> 37.6801325 </td> <td style="text-align:right;"> 168149 </td> <td style="text-align:right;"> 50.9167492 </td> <td style="text-align:right;"> 5.5443734 </td> <td style="text-align:right;"> 2.420456e+08 </td> <td style="text-align:right;"> 98.200000 </td> <td style="text-align:right;"> 83.800 </td> <td style="text-align:right;"> 81.200 </td> <td style="text-align:right;"> 82.46829 </td> <td style="text-align:right;"> 383919 </td> <td style="text-align:right;"> 116.25349 </td> <td style="text-align:right;"> 4.8 </td> <td style="text-align:right;"> 9.2 </td> <td style="text-align:right;"> 7.9 </td> <td style="text-align:right;"> 10.5 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.0 </td> <td style="text-align:right;"> 43.185 </td> <td style="text-align:right;"> 67.533 </td> <td style="text-align:right;"> 1.8 </td> <td style="text-align:right;"> 1.6 </td> <td style="text-align:right;"> 1.9 </td> <td style="text-align:right;"> 1.1 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 2.1 </td> <td style="text-align:right;"> 2.4 </td> <td style="text-align:right;"> -244562433 </td> <td style="text-align:right;"> 1308423171 </td> <td style="text-align:right;"> 1 </td> <td style="text-align:right;"> 7 </td> <td style="text-align:right;"> 8 </td> <td style="text-align:right;"> 1 </td> <td style="text-align:right;"> 8 </td> <td style="text-align:right;"> 5 </td> <td style="text-align:right;"> 10 </td> <td style="text-align:right;"> 11.7 </td> <td style="text-align:right;"> 9.4 </td> <td style="text-align:right;"> 14.7 </td> <td style="text-align:right;"> 9.6 </td> <td style="text-align:right;"> 30422.0 </td> <td style="text-align:right;"> 48.95799 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 1.5 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 1.7 </td> <td style="text-align:right;"> 608.60 </td> <td style="text-align:right;"> 2518 </td> <td style="text-align:right;"> 7611.5049197 </td> <td style="text-align:right;"> 14.3 </td> <td style="text-align:right;"> 5.9 </td> <td style="text-align:right;"> 22.5 </td> <td style="text-align:right;"> 93.36119 </td> <td style="text-align:right;"> 90.35785 </td> <td style="text-align:right;"> 4.050000 </td> <td style="text-align:right;"> 3.91 </td> <td style="text-align:right;"> 3.980000 </td> <td style="text-align:right;"> 6.64 </td> <td style="text-align:right;"> 10.55 </td> <td style="text-align:right;"> 8.60 </td> </tr> <tr> <td style="text-align:left;"> Indonesia </td> <td style="text-align:left;"> IDN </td> <td style="text-align:right;"> 52.97 </td> <td style="text-align:right;"> 17.6400000 </td> <td style="text-align:right;"> -2.0350419 </td> <td style="text-align:right;"> -17518744569 </td> <td style="text-align:right;"> 3983000 </td> <td style="text-align:right;"> 1.5415086 </td> <td style="text-align:right;"> 10378037 </td> <td style="text-align:right;"> 4.0165285 </td> <td style="text-align:right;"> 4.3703209 </td> <td style="text-align:right;"> 9.711238e+08 </td> <td style="text-align:right;"> 22.062743 </td> <td style="text-align:right;"> 72.992 </td> <td style="text-align:right;"> 68.651 </td> <td style="text-align:right;"> 70.76800 </td> <td style="text-align:right;"> 338948340 </td> <td style="text-align:right;"> 131.18046 </td> <td style="text-align:right;"> 12.3 </td> <td style="text-align:right;"> 25.6 </td> <td style="text-align:right;"> 22.1 </td> <td style="text-align:right;"> 29.0 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 145.664 </td> <td style="text-align:right;"> 205.464 </td> <td style="text-align:right;"> 23.3 </td> <td style="text-align:right;"> 20.6 </td> <td style="text-align:right;"> 25.8 </td> <td style="text-align:right;"> 14.5 </td> <td style="text-align:right;"> 27.8 </td> <td style="text-align:right;"> 24.8 </td> <td style="text-align:right;"> 30.7 </td> <td style="text-align:right;"> 14048569144 </td> <td style="text-align:right;"> 5351899012 </td> <td style="text-align:right;"> 10353 </td> <td style="text-align:right;"> 24045 </td> <td style="text-align:right;"> 23635 </td> <td style="text-align:right;"> 16510 </td> <td style="text-align:right;"> 115140 </td> <td style="text-align:right;"> 71869 </td> <td style="text-align:right;"> 137566 </td> <td style="text-align:right;"> 36.0 </td> <td style="text-align:right;"> 27.6 </td> <td style="text-align:right;"> 42.1 </td> <td style="text-align:right;"> 28.2 </td> <td style="text-align:right;"> 29699772.0 </td> <td style="text-align:right;"> 47.82470 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 5.2 </td> <td style="text-align:right;"> 3.6 </td> <td style="text-align:right;"> 5.6 </td> <td style="text-align:right;"> 4623.15 </td> <td style="text-align:right;"> 4569 </td> <td style="text-align:right;"> 17.6830344 </td> <td style="text-align:right;"> 2.4 </td> <td style="text-align:right;"> 1.1 </td> <td style="text-align:right;"> 3.6 </td> <td style="text-align:right;"> 78.49660 </td> <td style="text-align:right;"> 70.37346 </td> <td style="text-align:right;"> 4.430000 </td> <td style="text-align:right;"> 4.57 </td> <td style="text-align:right;"> 4.510000 </td> <td style="text-align:right;"> 17.15 </td> <td style="text-align:right;"> 17.07 </td> <td style="text-align:right;"> 17.10 </td> </tr> <tr> <td style="text-align:left;"> Israel </td> <td style="text-align:left;"> ISR </td> <td style="text-align:right;"> 101.52 </td> <td style="text-align:right;"> 20.0700000 </td> <td style="text-align:right;"> 5.4049669 </td> <td style="text-align:right;"> 16204800000 </td> <td style="text-align:right;"> 2173000 </td> <td style="text-align:right;"> 27.2357301 </td> <td style="text-align:right;"> 3412000 </td> <td style="text-align:right;"> 42.7649843 </td> <td style="text-align:right;"> 42.1660534 </td> <td style="text-align:right;"> 1.575640e+10 </td> <td style="text-align:right;"> 77.352090 </td> <td style="text-align:right;"> 84.100 </td> <td style="text-align:right;"> 80.100 </td> <td style="text-align:right;"> 82.05122 </td> <td style="text-align:right;"> 10570000 </td> <td style="text-align:right;"> 132.48121 </td> <td style="text-align:right;"> 4.2 </td> <td style="text-align:right;"> 9.6 </td> <td style="text-align:right;"> 7.4 </td> <td style="text-align:right;"> 11.8 </td> <td style="text-align:right;"> 0.0 </td> <td style="text-align:right;"> 0.0 </td> <td style="text-align:right;"> 0.0 </td> <td style="text-align:right;"> 39.687 </td> <td style="text-align:right;"> 72.987 </td> <td style="text-align:right;"> 3.2 </td> <td style="text-align:right;"> 2.9 </td> <td style="text-align:right;"> 3.4 </td> <td style="text-align:right;"> 2.1 </td> <td style="text-align:right;"> 3.9 </td> <td style="text-align:right;"> 3.6 </td> <td style="text-align:right;"> 4.2 </td> <td style="text-align:right;"> -3345200000 </td> <td style="text-align:right;"> 9848100000 </td> <td style="text-align:right;"> 69 </td> <td style="text-align:right;"> 153 </td> <td style="text-align:right;"> 193 </td> <td style="text-align:right;"> 69 </td> <td style="text-align:right;"> 529 </td> <td style="text-align:right;"> 351 </td> <td style="text-align:right;"> 652 </td> <td style="text-align:right;"> 12.8 </td> <td style="text-align:right;"> 11.5 </td> <td style="text-align:right;"> 17.7 </td> <td style="text-align:right;"> 11.9 </td> <td style="text-align:right;"> 883706.0 </td> <td style="text-align:right;"> 48.82020 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 1.2 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 1.7 </td> <td style="text-align:right;"> 12048.66 </td> <td style="text-align:right;"> 10936 </td> <td style="text-align:right;"> 1304.9963604 </td> <td style="text-align:right;"> 4.5 </td> <td style="text-align:right;"> 2.1 </td> <td style="text-align:right;"> 7.1 </td> <td style="text-align:right;"> 93.31020 </td> <td style="text-align:right;"> 88.80072 </td> <td style="text-align:right;"> 5.390000 </td> <td style="text-align:right;"> 5.13 </td> <td style="text-align:right;"> 5.250000 </td> <td style="text-align:right;"> 9.74 </td> <td style="text-align:right;"> 8.95 </td> <td style="text-align:right;"> 9.33 </td> </tr> <tr> <td style="text-align:left;"> Italy </td> <td style="text-align:left;"> ITA </td> <td style="text-align:right;"> 96.25 </td> <td style="text-align:right;"> 49.8200000 </td> <td style="text-align:right;"> 1.3823817 </td> <td style="text-align:right;"> 25379134924 </td> <td style="text-align:right;"> 14900171 </td> <td style="text-align:right;"> 24.5964698 </td> <td style="text-align:right;"> 20209324 </td> <td style="text-align:right;"> 33.3605586 </td> <td style="text-align:right;"> 8.4443379 </td> <td style="text-align:right;"> 8.292660e+09 </td> <td style="text-align:right;"> 58.141735 </td> <td style="text-align:right;"> 84.900 </td> <td style="text-align:right;"> 80.300 </td> <td style="text-align:right;"> 82.54390 </td> <td style="text-align:right;"> 87691238 </td> <td style="text-align:right;"> 144.75638 </td> <td style="text-align:right;"> 5.9 </td> <td style="text-align:right;"> 9.8 </td> <td style="text-align:right;"> 7.3 </td> <td style="text-align:right;"> 12.4 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 38.311 </td> <td style="text-align:right;"> 66.655 </td> <td style="text-align:right;"> 3.0 </td> <td style="text-align:right;"> 2.7 </td> <td style="text-align:right;"> 3.2 </td> <td style="text-align:right;"> 2.1 </td> <td style="text-align:right;"> 3.5 </td> <td style="text-align:right;"> 3.2 </td> <td style="text-align:right;"> 3.7 </td> <td style="text-align:right;"> 58475193358 </td> <td style="text-align:right;"> 54303349290 </td> <td style="text-align:right;"> 254 </td> <td style="text-align:right;"> 607 </td> <td style="text-align:right;"> 932 </td> <td style="text-align:right;"> 204 </td> <td style="text-align:right;"> 1484 </td> <td style="text-align:right;"> 1055 </td> <td style="text-align:right;"> 1757 </td> <td style="text-align:right;"> 12.6 </td> <td style="text-align:right;"> 12.3 </td> <td style="text-align:right;"> 18.7 </td> <td style="text-align:right;"> 12.5 </td> <td style="text-align:right;"> 2856247.0 </td> <td style="text-align:right;"> 48.40607 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 1.1 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 1.5 </td> <td style="text-align:right;"> 70519.39 </td> <td style="text-align:right;"> 38140 </td> <td style="text-align:right;"> 628.0196689 </td> <td style="text-align:right;"> 7.1 </td> <td style="text-align:right;"> 3.6 </td> <td style="text-align:right;"> 10.9 </td> <td style="text-align:right;"> 93.77104 </td> <td style="text-align:right;"> 89.32418 </td> <td style="text-align:right;"> 12.690000 </td> <td style="text-align:right;"> 11.32 </td> <td style="text-align:right;"> 11.900000 </td> <td style="text-align:right;"> 42.75 </td> <td style="text-align:right;"> 38.85 </td> <td style="text-align:right;"> 40.41 </td> </tr> <tr> <td style="text-align:left;"> Jamaica </td> <td style="text-align:left;"> JAM </td> <td style="text-align:right;"> 30.69 </td> <td style="text-align:right;"> 5.1800000 </td> <td style="text-align:right;"> -3.0315066 </td> <td style="text-align:right;"> -430100946 </td> <td style="text-align:right;"> 228890 </td> <td style="text-align:right;"> 7.9172721 </td> <td style="text-align:right;"> 252849 </td> <td style="text-align:right;"> 8.7460105 </td> <td style="text-align:right;"> 4.0017839 </td> <td style="text-align:right;"> 1.224052e+08 </td> <td style="text-align:right;"> 42.221221 </td> <td style="text-align:right;"> 75.687 </td> <td style="text-align:right;"> 72.574 </td> <td style="text-align:right;"> 74.09800 </td> <td style="text-align:right;"> 3137213 </td> <td style="text-align:right;"> 108.51575 </td> <td style="text-align:right;"> 13.3 </td> <td style="text-align:right;"> 16.8 </td> <td style="text-align:right;"> 17.4 </td> <td style="text-align:right;"> 16.1 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 100.029 </td> <td style="text-align:right;"> 164.462 </td> <td style="text-align:right;"> 13.4 </td> <td style="text-align:right;"> 11.8 </td> <td style="text-align:right;"> 15.0 </td> <td style="text-align:right;"> 11.2 </td> <td style="text-align:right;"> 15.6 </td> <td style="text-align:right;"> 13.7 </td> <td style="text-align:right;"> 17.4 </td> <td style="text-align:right;"> -3194519372 </td> <td style="text-align:right;"> -2296499439 </td> <td style="text-align:right;"> 79 </td> <td style="text-align:right;"> 211 </td> <td style="text-align:right;"> 312 </td> <td style="text-align:right;"> 62 </td> <td style="text-align:right;"> 646 </td> <td style="text-align:right;"> 539 </td> <td style="text-align:right;"> 753 </td> <td style="text-align:right;"> 27.4 </td> <td style="text-align:right;"> 19.2 </td> <td style="text-align:right;"> 22.7 </td> <td style="text-align:right;"> 19.4 </td> <td style="text-align:right;"> 259449.0 </td> <td style="text-align:right;"> 50.44922 </td> <td style="text-align:right;"> 1.6 </td> <td style="text-align:right;"> 3.9 </td> <td style="text-align:right;"> 1.4 </td> <td style="text-align:right;"> 5.8 </td> <td style="text-align:right;"> 153.19 </td> <td style="text-align:right;"> 351 </td> <td style="text-align:right;"> 121.4103945 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 1.1 </td> <td style="text-align:right;"> 3.4 </td> <td style="text-align:right;"> 82.79474 </td> <td style="text-align:right;"> 73.87923 </td> <td style="text-align:right;"> 17.879999 </td> <td style="text-align:right;"> 9.91 </td> <td style="text-align:right;"> 13.510000 </td> <td style="text-align:right;"> 42.62 </td> <td style="text-align:right;"> 27.79 </td> <td style="text-align:right;"> 34.04 </td> </tr> <tr> <td style="text-align:left;"> Japan </td> <td style="text-align:left;"> JPN </td> <td style="text-align:right;"> 127.65 </td> <td style="text-align:right;"> 34.1400000 </td> <td style="text-align:right;"> 3.1090684 </td> <td style="text-align:right;"> 136471801667 </td> <td style="text-align:right;"> 38872579 </td> <td style="text-align:right;"> 30.3727301 </td> <td style="text-align:right;"> 63705579 </td> <td style="text-align:right;"> 49.7757650 </td> <td style="text-align:right;"> 1.9990402 </td> <td style="text-align:right;"> 3.251898e+09 </td> <td style="text-align:right;"> 91.058028 </td> <td style="text-align:right;"> 86.990 </td> <td style="text-align:right;"> 80.750 </td> <td style="text-align:right;"> 83.79390 </td> <td style="text-align:right;"> 160559734 </td> <td style="text-align:right;"> 125.45186 </td> <td style="text-align:right;"> 4.2 </td> <td style="text-align:right;"> 8.6 </td> <td style="text-align:right;"> 5.8 </td> <td style="text-align:right;"> 11.5 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 37.112 </td> <td style="text-align:right;"> 70.060 </td> <td style="text-align:right;"> 2.0 </td> <td style="text-align:right;"> 1.9 </td> <td style="text-align:right;"> 2.1 </td> <td style="text-align:right;"> 0.9 </td> <td style="text-align:right;"> 2.8 </td> <td style="text-align:right;"> 2.6 </td> <td style="text-align:right;"> 2.9 </td> <td style="text-align:right;"> -7334915645 </td> <td style="text-align:right;"> -23275907631 </td> <td style="text-align:right;"> 477 </td> <td style="text-align:right;"> 1219 </td> <td style="text-align:right;"> 2273 </td> <td style="text-align:right;"> 446 </td> <td style="text-align:right;"> 2068 </td> <td style="text-align:right;"> 940 </td> <td style="text-align:right;"> 2866 </td> <td style="text-align:right;"> 12.4 </td> <td style="text-align:right;"> 19.1 </td> <td style="text-align:right;"> 23.9 </td> <td style="text-align:right;"> 19.2 </td> <td style="text-align:right;"> 6638174.0 </td> <td style="text-align:right;"> 48.74169 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 1.0 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 1.8 </td> <td style="text-align:right;"> 101306.59 </td> <td style="text-align:right;"> 191255 </td> <td style="text-align:right;"> 1504.2747815 </td> <td style="text-align:right;"> 19.1 </td> <td style="text-align:right;"> 11.4 </td> <td style="text-align:right;"> 27.2 </td> <td style="text-align:right;"> 94.16967 </td> <td style="text-align:right;"> 88.58988 </td> <td style="text-align:right;"> 3.110000 </td> <td style="text-align:right;"> 3.62 </td> <td style="text-align:right;"> 3.400000 </td> <td style="text-align:right;"> 5.14 </td> <td style="text-align:right;"> 5.93 </td> <td style="text-align:right;"> 5.54 </td> </tr> <tr> <td style="text-align:left;"> Kazakhstan </td> <td style="text-align:left;"> KAZ </td> <td style="text-align:right;"> 71.12 </td> <td style="text-align:right;"> 2.9600000 </td> <td style="text-align:right;"> -3.2602926 </td> <td style="text-align:right;"> -6011602481 </td> <td style="text-align:right;"> 2301000 </td> <td style="text-align:right;"> 13.0946842 </td> <td style="text-align:right;"> 4147800 </td> <td style="text-align:right;"> 23.6045767 </td> <td style="text-align:right;"> 2.3022513 </td> <td style="text-align:right;"> 1.422200e+08 </td> <td style="text-align:right;"> 70.829934 </td> <td style="text-align:right;"> 76.260 </td> <td style="text-align:right;"> 67.490 </td> <td style="text-align:right;"> 71.97000 </td> <td style="text-align:right;"> 26309300 </td> <td style="text-align:right;"> 149.72272 </td> <td style="text-align:right;"> 18.4 </td> <td style="text-align:right;"> 25.6 </td> <td style="text-align:right;"> 17.5 </td> <td style="text-align:right;"> 35.2 </td> <td style="text-align:right;"> 2.4 </td> <td style="text-align:right;"> 1.3 </td> <td style="text-align:right;"> 3.7 </td> <td style="text-align:right;"> 107.941 </td> <td style="text-align:right;"> 256.281 </td> <td style="text-align:right;"> 10.5 </td> <td style="text-align:right;"> 9.1 </td> <td style="text-align:right;"> 11.9 </td> <td style="text-align:right;"> 5.6 </td> <td style="text-align:right;"> 11.8 </td> <td style="text-align:right;"> 10.3 </td> <td style="text-align:right;"> 13.3 </td> <td style="text-align:right;"> 11627111715 </td> <td style="text-align:right;"> 6906805627 </td> <td style="text-align:right;"> 356 </td> <td style="text-align:right;"> 737 </td> <td style="text-align:right;"> 1505 </td> <td style="text-align:right;"> 482 </td> <td style="text-align:right;"> 4116 </td> <td style="text-align:right;"> 2177 </td> <td style="text-align:right;"> 4604 </td> <td style="text-align:right;"> 28.9 </td> <td style="text-align:right;"> 27.5 </td> <td style="text-align:right;"> 31.3 </td> <td style="text-align:right;"> 27.7 </td> <td style="text-align:right;"> 1196027.0 </td> <td style="text-align:right;"> 48.70358 </td> <td style="text-align:right;"> 1.6 </td> <td style="text-align:right;"> 3.3 </td> <td style="text-align:right;"> 1.5 </td> <td style="text-align:right;"> 5.0 </td> <td style="text-align:right;"> 1171.06 </td> <td style="text-align:right;"> 845 </td> <td style="text-align:right;"> 48.1678929 </td> <td style="text-align:right;"> 23.2 </td> <td style="text-align:right;"> 8.2 </td> <td style="text-align:right;"> 39.3 </td> <td style="text-align:right;"> 82.87478 </td> <td style="text-align:right;"> 63.20101 </td> <td style="text-align:right;"> 5.490000 </td> <td style="text-align:right;"> 4.40 </td> <td style="text-align:right;"> 4.930000 </td> <td style="text-align:right;"> 4.00 </td> <td style="text-align:right;"> 3.53 </td> <td style="text-align:right;"> 3.75 </td> </tr> <tr> <td style="text-align:left;"> Kenya </td> <td style="text-align:left;"> KEN </td> <td style="text-align:right;"> 9.69 </td> <td style="text-align:right;"> 5.5900000 </td> <td style="text-align:right;"> -6.9066311 </td> <td style="text-align:right;"> -4420779165 </td> <td style="text-align:right;"> 135107 </td> <td style="text-align:right;"> 0.2821882 </td> <td style="text-align:right;"> 85496 </td> <td style="text-align:right;"> 0.1785693 </td> <td style="text-align:right;"> 11.8648015 </td> <td style="text-align:right;"> 5.503074e+08 </td> <td style="text-align:right;"> 16.587855 </td> <td style="text-align:right;"> 67.111 </td> <td style="text-align:right;"> 62.452 </td> <td style="text-align:right;"> 64.79800 </td> <td style="text-align:right;"> 37715944 </td> <td style="text-align:right;"> 78.77455 </td> <td style="text-align:right;"> 27.3 </td> <td style="text-align:right;"> 21.1 </td> <td style="text-align:right;"> 19.9 </td> <td style="text-align:right;"> 22.5 </td> <td style="text-align:right;"> 2.4 </td> <td style="text-align:right;"> 1.4 </td> <td style="text-align:right;"> 3.5 </td> <td style="text-align:right;"> 183.125 </td> <td style="text-align:right;"> 264.091 </td> <td style="text-align:right;"> 35.3 </td> <td style="text-align:right;"> 31.7 </td> <td style="text-align:right;"> 38.7 </td> <td style="text-align:right;"> 22.7 </td> <td style="text-align:right;"> 49.6 </td> <td style="text-align:right;"> 45.4 </td> <td style="text-align:right;"> 53.6 </td> <td style="text-align:right;"> -8378556485 </td> <td style="text-align:right;"> -7061017155 </td> <td style="text-align:right;"> 5784 </td> <td style="text-align:right;"> 7634 </td> <td style="text-align:right;"> 9245 </td> <td style="text-align:right;"> 8209 </td> <td style="text-align:right;"> 51600 </td> <td style="text-align:right;"> 33339 </td> <td style="text-align:right;"> 72591 </td> <td style="text-align:right;"> 41.9 </td> <td style="text-align:right;"> 27.1 </td> <td style="text-align:right;"> 40.5 </td> <td style="text-align:right;"> 28.1 </td> <td style="text-align:right;"> 8168710.0 </td> <td style="text-align:right;"> 49.57786 </td> <td style="text-align:right;"> 4.8 </td> <td style="text-align:right;"> 7.2 </td> <td style="text-align:right;"> 6.0 </td> <td style="text-align:right;"> 10.4 </td> <td style="text-align:right;"> 961.87 </td> <td style="text-align:right;"> 619 </td> <td style="text-align:right;"> 12.9286030 </td> <td style="text-align:right;"> 5.5 </td> <td style="text-align:right;"> 2.9 </td> <td style="text-align:right;"> 8.0 </td> <td style="text-align:right;"> 68.08847 </td> <td style="text-align:right;"> 58.42596 </td> <td style="text-align:right;"> 2.990000 </td> <td style="text-align:right;"> 2.61 </td> <td style="text-align:right;"> 2.800000 </td> <td style="text-align:right;"> 7.52 </td> <td style="text-align:right;"> 7.29 </td> <td style="text-align:right;"> 7.40 </td> </tr> <tr> <td style="text-align:left;"> Korea, Rep. </td> <td style="text-align:left;"> KOR </td> <td style="text-align:right;"> 275.88 </td> <td style="text-align:right;"> 16.7500000 </td> <td style="text-align:right;"> 7.1715458 </td> <td style="text-align:right;"> 105118600000 </td> <td style="text-align:right;"> 20024419 </td> <td style="text-align:right;"> 39.4002368 </td> <td style="text-align:right;"> 28882783 </td> <td style="text-align:right;"> 56.8300379 </td> <td style="text-align:right;"> 3.5916413 </td> <td style="text-align:right;"> 3.501800e+09 </td> <td style="text-align:right;"> 89.896256 </td> <td style="text-align:right;"> 85.200 </td> <td style="text-align:right;"> 79.000 </td> <td style="text-align:right;"> 82.02439 </td> <td style="text-align:right;"> 58935081 </td> <td style="text-align:right;"> 115.96122 </td> <td style="text-align:right;"> 10.6 </td> <td style="text-align:right;"> 8.4 </td> <td style="text-align:right;"> 5.1 </td> <td style="text-align:right;"> 11.7 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 35.768 </td> <td style="text-align:right;"> 87.205 </td> <td style="text-align:right;"> 3.0 </td> <td style="text-align:right;"> 2.8 </td> <td style="text-align:right;"> 3.2 </td> <td style="text-align:right;"> 1.6 </td> <td style="text-align:right;"> 3.5 </td> <td style="text-align:right;"> 3.2 </td> <td style="text-align:right;"> 3.8 </td> <td style="text-align:right;"> 120275000000 </td> <td style="text-align:right;"> 105649200000 </td> <td style="text-align:right;"> 226 </td> <td style="text-align:right;"> 715 </td> <td style="text-align:right;"> 1143 </td> <td style="text-align:right;"> 207 </td> <td style="text-align:right;"> 1264 </td> <td style="text-align:right;"> 678 </td> <td style="text-align:right;"> 1490 </td> <td style="text-align:right;"> 11.6 </td> <td style="text-align:right;"> 13.1 </td> <td style="text-align:right;"> 15.2 </td> <td style="text-align:right;"> 13.1 </td> <td style="text-align:right;"> 2721766.0 </td> <td style="text-align:right;"> 48.22667 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 1.1 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 1.6 </td> <td style="text-align:right;"> 62645.93 </td> <td style="text-align:right;"> 28452 </td> <td style="text-align:right;"> 557.7188976 </td> <td style="text-align:right;"> 28.0 </td> <td style="text-align:right;"> 16.5 </td> <td style="text-align:right;"> 39.5 </td> <td style="text-align:right;"> 94.53665 </td> <td style="text-align:right;"> 86.82498 </td> <td style="text-align:right;"> 3.480000 </td> <td style="text-align:right;"> 3.59 </td> <td style="text-align:right;"> 3.550000 </td> <td style="text-align:right;"> 9.93 </td> <td style="text-align:right;"> 9.79 </td> <td style="text-align:right;"> 9.86 </td> </tr> <tr> <td style="text-align:left;"> Kuwait </td> <td style="text-align:left;"> KWT </td> <td style="text-align:right;"> 56.51 </td> <td style="text-align:right;"> 14.7900000 </td> <td style="text-align:right;"> 7.4927502 </td> <td style="text-align:right;"> 8584241437 </td> <td style="text-align:right;"> 55000 </td> <td style="text-align:right;"> 1.4339381 </td> <td style="text-align:right;"> 480000 </td> <td style="text-align:right;"> 12.5143687 </td> <td style="text-align:right;"> 44.7143730 </td> <td style="text-align:right;"> 2.707725e+09 </td> <td style="text-align:right;"> 72.000000 </td> <td style="text-align:right;"> 76.173 </td> <td style="text-align:right;"> 74.396 </td> <td style="text-align:right;"> 75.13000 </td> <td style="text-align:right;"> 7664743 </td> <td style="text-align:right;"> 199.83212 </td> <td style="text-align:right;"> 18.8 </td> <td style="text-align:right;"> 11.4 </td> <td style="text-align:right;"> 8.2 </td> <td style="text-align:right;"> 13.2 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 44.013 </td> <td style="text-align:right;"> 72.260 </td> <td style="text-align:right;"> 7.5 </td> <td style="text-align:right;"> 6.8 </td> <td style="text-align:right;"> 8.1 </td> <td style="text-align:right;"> 4.9 </td> <td style="text-align:right;"> 8.7 </td> <td style="text-align:right;"> 7.9 </td> <td style="text-align:right;"> 9.5 </td> <td style="text-align:right;"> 27992646495 </td> <td style="text-align:right;"> 10251823890 </td> <td style="text-align:right;"> 48 </td> <td style="text-align:right;"> 99 </td> <td style="text-align:right;"> 119 </td> <td style="text-align:right;"> 52 </td> <td style="text-align:right;"> 453 </td> <td style="text-align:right;"> 298 </td> <td style="text-align:right;"> 528 </td> <td style="text-align:right;"> 24.9 </td> <td style="text-align:right;"> 22.4 </td> <td style="text-align:right;"> 23.2 </td> <td style="text-align:right;"> 22.4 </td> <td style="text-align:right;"> 264185.0 </td> <td style="text-align:right;"> 48.99862 </td> <td style="text-align:right;"> 1.0 </td> <td style="text-align:right;"> 2.3 </td> <td style="text-align:right;"> 0.9 </td> <td style="text-align:right;"> 2.8 </td> <td style="text-align:right;"> 875.06 </td> <td style="text-align:right;"> 1276 </td> <td style="text-align:right;"> 332.6736349 </td> <td style="text-align:right;"> 2.6 </td> <td style="text-align:right;"> 0.7 </td> <td style="text-align:right;"> 3.8 </td> <td style="text-align:right;"> 89.41708 </td> <td style="text-align:right;"> 86.18652 </td> <td style="text-align:right;"> 4.690000 </td> <td style="text-align:right;"> 1.28 </td> <td style="text-align:right;"> 2.200000 </td> <td style="text-align:right;"> 23.15 </td> <td style="text-align:right;"> 11.86 </td> <td style="text-align:right;"> 15.30 </td> </tr> <tr> <td style="text-align:left;"> Kyrgyz Republic </td> <td style="text-align:left;"> KGZ </td> <td style="text-align:right;"> 30.29 </td> <td style="text-align:right;"> 8.2800000 </td> <td style="text-align:right;"> -15.7592459 </td> <td style="text-align:right;"> -1052430545 </td> <td style="text-align:right;"> 211521 </td> <td style="text-align:right;"> 3.5495336 </td> <td style="text-align:right;"> 408037 </td> <td style="text-align:right;"> 6.8472682 </td> <td style="text-align:right;"> 4.9818636 </td> <td style="text-align:right;"> 4.252439e+07 </td> <td style="text-align:right;"> 30.247043 </td> <td style="text-align:right;"> 74.800 </td> <td style="text-align:right;"> 66.700 </td> <td style="text-align:right;"> 70.65122 </td> <td style="text-align:right;"> 7579439 </td> <td style="text-align:right;"> 127.19055 </td> <td style="text-align:right;"> 17.5 </td> <td style="text-align:right;"> 24.9 </td> <td style="text-align:right;"> 17.7 </td> <td style="text-align:right;"> 33.1 </td> <td style="text-align:right;"> 1.2 </td> <td style="text-align:right;"> 0.7 </td> <td style="text-align:right;"> 1.8 </td> <td style="text-align:right;"> 102.292 </td> <td style="text-align:right;"> 229.295 </td> <td style="text-align:right;"> 19.9 </td> <td style="text-align:right;"> 17.6 </td> <td style="text-align:right;"> 22.1 </td> <td style="text-align:right;"> 14.7 </td> <td style="text-align:right;"> 22.3 </td> <td style="text-align:right;"> 19.8 </td> <td style="text-align:right;"> 24.8 </td> <td style="text-align:right;"> -2219960573 </td> <td style="text-align:right;"> -2422081515 </td> <td style="text-align:right;"> 171 </td> <td style="text-align:right;"> 302 </td> <td style="text-align:right;"> 481 </td> <td style="text-align:right;"> 175 </td> <td style="text-align:right;"> 3221 </td> <td style="text-align:right;"> 2384 </td> <td style="text-align:right;"> 3602 </td> <td style="text-align:right;"> 37.4 </td> <td style="text-align:right;"> 34.7 </td> <td style="text-align:right;"> 36.6 </td> <td style="text-align:right;"> 34.8 </td> <td style="text-align:right;"> 451212.0 </td> <td style="text-align:right;"> 48.83890 </td> <td style="text-align:right;"> 1.7 </td> <td style="text-align:right;"> 2.9 </td> <td style="text-align:right;"> 1.5 </td> <td style="text-align:right;"> 4.2 </td> <td style="text-align:right;"> 51.24 </td> <td style="text-align:right;"> 136 </td> <td style="text-align:right;"> 22.8306670 </td> <td style="text-align:right;"> 9.9 </td> <td style="text-align:right;"> 3.9 </td> <td style="text-align:right;"> 16.1 </td> <td style="text-align:right;"> 82.74265 </td> <td style="text-align:right;"> 65.94104 </td> <td style="text-align:right;"> 9.020001 </td> <td style="text-align:right;"> 6.54 </td> <td style="text-align:right;"> 7.560000 </td> <td style="text-align:right;"> 19.10 </td> <td style="text-align:right;"> 12.55 </td> <td style="text-align:right;"> 15.02 </td> </tr> <tr> <td style="text-align:left;"> Lao PDR </td> <td style="text-align:left;"> LAO </td> <td style="text-align:right;"> 22.97 </td> <td style="text-align:right;"> 2.9000000 </td> <td style="text-align:right;"> -15.7577433 </td> <td style="text-align:right;"> -2267608963 </td> <td style="text-align:right;"> 14550 </td> <td style="text-align:right;"> 0.2158381 </td> <td style="text-align:right;"> 962497 </td> <td style="text-align:right;"> 14.2779051 </td> <td style="text-align:right;"> 4.0635463 </td> <td style="text-align:right;"> 3.429929e+07 </td> <td style="text-align:right;"> 18.200000 </td> <td style="text-align:right;"> 68.331 </td> <td style="text-align:right;"> 64.765 </td> <td style="text-align:right;"> 66.54600 </td> <td style="text-align:right;"> 3727162 </td> <td style="text-align:right;"> 55.28959 </td> <td style="text-align:right;"> 15.2 </td> <td style="text-align:right;"> 26.8 </td> <td style="text-align:right;"> 23.1 </td> <td style="text-align:right;"> 30.7 </td> <td style="text-align:right;"> 0.6 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 0.8 </td> <td style="text-align:right;"> 173.589 </td> <td style="text-align:right;"> 217.661 </td> <td style="text-align:right;"> 42.0 </td> <td style="text-align:right;"> 37.2 </td> <td style="text-align:right;"> 46.6 </td> <td style="text-align:right;"> 24.4 </td> <td style="text-align:right;"> 53.6 </td> <td style="text-align:right;"> 48.3 </td> <td style="text-align:right;"> 58.6 </td> <td style="text-align:right;"> -2022023959 </td> <td style="text-align:right;"> -2256435634 </td> <td style="text-align:right;"> 793 </td> <td style="text-align:right;"> 803 </td> <td style="text-align:right;"> 1118 </td> <td style="text-align:right;"> 707 </td> <td style="text-align:right;"> 6958 </td> <td style="text-align:right;"> 4079 </td> <td style="text-align:right;"> 8891 </td> <td style="text-align:right;"> 43.3 </td> <td style="text-align:right;"> 36.6 </td> <td style="text-align:right;"> 46.9 </td> <td style="text-align:right;"> 37.2 </td> <td style="text-align:right;"> 850466.0 </td> <td style="text-align:right;"> 48.00321 </td> <td style="text-align:right;"> 5.5 </td> <td style="text-align:right;"> 5.6 </td> <td style="text-align:right;"> 4.6 </td> <td style="text-align:right;"> 8.0 </td> <td style="text-align:right;"> 71.61 </td> <td style="text-align:right;"> 28 </td> <td style="text-align:right;"> 4.1535853 </td> <td style="text-align:right;"> 5.6 </td> <td style="text-align:right;"> 3.5 </td> <td style="text-align:right;"> 7.7 </td> <td style="text-align:right;"> 71.98295 </td> <td style="text-align:right;"> 64.38359 </td> <td style="text-align:right;"> 0.630000 </td> <td style="text-align:right;"> 0.74 </td> <td style="text-align:right;"> 0.690000 </td> <td style="text-align:right;"> 1.61 </td> <td style="text-align:right;"> 1.84 </td> <td style="text-align:right;"> 1.72 </td> </tr> <tr> <td style="text-align:left;"> Latvia </td> <td style="text-align:left;"> LVA </td> <td style="text-align:right;"> 63.01 </td> <td style="text-align:right;"> 18.0500000 </td> <td style="text-align:right;"> -0.6132136 </td> <td style="text-align:right;"> -167037260 </td> <td style="text-align:right;"> 503503 </td> <td style="text-align:right;"> 25.2044628 </td> <td style="text-align:right;"> 356000 </td> <td style="text-align:right;"> 17.8207255 </td> <td style="text-align:right;"> 8.2609693 </td> <td style="text-align:right;"> 4.001291e+08 </td> <td style="text-align:right;"> 79.200583 </td> <td style="text-align:right;"> 79.500 </td> <td style="text-align:right;"> 69.700 </td> <td style="text-align:right;"> 74.48049 </td> <td style="text-align:right;"> 2590000 </td> <td style="text-align:right;"> 129.65078 </td> <td style="text-align:right;"> 11.2 </td> <td style="text-align:right;"> 22.0 </td> <td style="text-align:right;"> 13.9 </td> <td style="text-align:right;"> 31.9 </td> <td style="text-align:right;"> 0.8 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 1.5 </td> <td style="text-align:right;"> 85.920 </td> <td style="text-align:right;"> 234.554 </td> <td style="text-align:right;"> 4.2 </td> <td style="text-align:right;"> 3.9 </td> <td style="text-align:right;"> 4.5 </td> <td style="text-align:right;"> 2.6 </td> <td style="text-align:right;"> 5.0 </td> <td style="text-align:right;"> 4.6 </td> <td style="text-align:right;"> 5.4 </td> <td style="text-align:right;"> -2713367530 </td> <td style="text-align:right;"> -472480180 </td> <td style="text-align:right;"> 16 </td> <td style="text-align:right;"> 43 </td> <td style="text-align:right;"> 93 </td> <td style="text-align:right;"> 19 </td> <td style="text-align:right;"> 88 </td> <td style="text-align:right;"> 54 </td> <td style="text-align:right;"> 105 </td> <td style="text-align:right;"> 25.5 </td> <td style="text-align:right;"> 21.1 </td> <td style="text-align:right;"> 23.3 </td> <td style="text-align:right;"> 21.2 </td> <td style="text-align:right;"> 117303.0 </td> <td style="text-align:right;"> 48.69526 </td> <td style="text-align:right;"> 0.8 </td> <td style="text-align:right;"> 2.5 </td> <td style="text-align:right;"> 0.9 </td> <td style="text-align:right;"> 3.7 </td> <td style="text-align:right;"> 1474.02 </td> <td style="text-align:right;"> 2596 </td> <td style="text-align:right;"> 1312.7507235 </td> <td style="text-align:right;"> 21.6 </td> <td style="text-align:right;"> 8.4 </td> <td style="text-align:right;"> 37.2 </td> <td style="text-align:right;"> 85.86271 </td> <td style="text-align:right;"> 66.21189 </td> <td style="text-align:right;"> 8.640000 </td> <td style="text-align:right;"> 11.09 </td> <td style="text-align:right;"> 9.870000 </td> <td style="text-align:right;"> 14.12 </td> <td style="text-align:right;"> 17.97 </td> <td style="text-align:right;"> 16.28 </td> </tr> <tr> <td style="text-align:left;"> Lesotho </td> <td style="text-align:left;"> LSO </td> <td style="text-align:right;"> 12.98 </td> <td style="text-align:right;"> 3.7200000 </td> <td style="text-align:right;"> -3.2727676 </td> <td style="text-align:right;"> -77639215 </td> <td style="text-align:right;"> 2062 </td> <td style="text-align:right;"> 0.1001447 </td> <td style="text-align:right;"> 40570 </td> <td style="text-align:right;"> 1.9703539 </td> <td style="text-align:right;"> 3.7690664 </td> <td style="text-align:right;"> 1.721735e+06 </td> <td style="text-align:right;"> 25.000000 </td> <td style="text-align:right;"> 54.266 </td> <td style="text-align:right;"> 47.979 </td> <td style="text-align:right;"> 51.03800 </td> <td style="text-align:right;"> 2140141 </td> <td style="text-align:right;"> 103.93974 </td> <td style="text-align:right;"> 30.1 </td> <td style="text-align:right;"> 47.9 </td> <td style="text-align:right;"> 42.8 </td> <td style="text-align:right;"> 54.0 </td> <td style="text-align:right;"> 6.0 </td> <td style="text-align:right;"> 4.8 </td> <td style="text-align:right;"> 7.2 </td> <td style="text-align:right;"> 466.443 </td> <td style="text-align:right;"> 560.508 </td> <td style="text-align:right;"> 71.9 </td> <td style="text-align:right;"> 64.7 </td> <td style="text-align:right;"> 78.8 </td> <td style="text-align:right;"> 43.4 </td> <td style="text-align:right;"> 94.1 </td> <td style="text-align:right;"> 86.3 </td> <td style="text-align:right;"> 101.5 </td> <td style="text-align:right;"> -801695183 </td> <td style="text-align:right;"> -1074561960 </td> <td style="text-align:right;"> 175 </td> <td style="text-align:right;"> 494 </td> <td style="text-align:right;"> 833 </td> <td style="text-align:right;"> 248 </td> <td style="text-align:right;"> 4072 </td> <td style="text-align:right;"> 2484 </td> <td style="text-align:right;"> 5353 </td> <td style="text-align:right;"> 50.0 </td> <td style="text-align:right;"> 27.1 </td> <td style="text-align:right;"> 33.4 </td> <td style="text-align:right;"> 27.5 </td> <td style="text-align:right;"> 361637.0 </td> <td style="text-align:right;"> 48.91784 </td> <td style="text-align:right;"> 3.9 </td> <td style="text-align:right;"> 11.4 </td> <td style="text-align:right;"> 5.6 </td> <td style="text-align:right;"> 19.8 </td> <td style="text-align:right;"> 17.34 </td> <td style="text-align:right;"> 14 </td> <td style="text-align:right;"> 6.7993478 </td> <td style="text-align:right;"> 92.4 </td> <td style="text-align:right;"> 39.3 </td> <td style="text-align:right;"> 147.3 </td> <td style="text-align:right;"> 41.92358 </td> <td style="text-align:right;"> 27.76185 </td> <td style="text-align:right;"> 29.010000 </td> <td style="text-align:right;"> 20.58 </td> <td style="text-align:right;"> 24.400000 </td> <td style="text-align:right;"> 42.96 </td> <td style="text-align:right;"> 29.09 </td> <td style="text-align:right;"> 34.88 </td> </tr> <tr> <td style="text-align:left;"> Lithuania </td> <td style="text-align:left;"> LTU </td> <td style="text-align:right;"> 49.01 </td> <td style="text-align:right;"> 14.5500000 </td> <td style="text-align:right;"> -2.4483282 </td> <td style="text-align:right;"> -1014069961 </td> <td style="text-align:right;"> 833298 </td> <td style="text-align:right;"> 28.4219682 </td> <td style="text-align:right;"> 561919 </td> <td style="text-align:right;"> 19.1658253 </td> <td style="text-align:right;"> 3.9935548 </td> <td style="text-align:right;"> 2.670603e+08 </td> <td style="text-align:right;"> 71.378059 </td> <td style="text-align:right;"> 79.700 </td> <td style="text-align:right;"> 69.200 </td> <td style="text-align:right;"> 74.32195 </td> <td style="text-align:right;"> 4184053 </td> <td style="text-align:right;"> 142.70888 </td> <td style="text-align:right;"> 10.5 </td> <td style="text-align:right;"> 22.2 </td> <td style="text-align:right;"> 13.2 </td> <td style="text-align:right;"> 32.8 </td> <td style="text-align:right;"> 3.9 </td> <td style="text-align:right;"> 1.9 </td> <td style="text-align:right;"> 6.2 </td> <td style="text-align:right;"> 85.048 </td> <td style="text-align:right;"> 245.418 </td> <td style="text-align:right;"> 4.0 </td> <td style="text-align:right;"> 3.7 </td> <td style="text-align:right;"> 4.3 </td> <td style="text-align:right;"> 2.3 </td> <td style="text-align:right;"> 4.9 </td> <td style="text-align:right;"> 4.5 </td> <td style="text-align:right;"> 5.4 </td> <td style="text-align:right;"> -2365756531 </td> <td style="text-align:right;"> -417504208 </td> <td style="text-align:right;"> 26 </td> <td style="text-align:right;"> 92 </td> <td style="text-align:right;"> 173 </td> <td style="text-align:right;"> 21 </td> <td style="text-align:right;"> 124 </td> <td style="text-align:right;"> 71 </td> <td style="text-align:right;"> 153 </td> <td style="text-align:right;"> 24.9 </td> <td style="text-align:right;"> 19.0 </td> <td style="text-align:right;"> 21.4 </td> <td style="text-align:right;"> 19.1 </td> <td style="text-align:right;"> 108038.0 </td> <td style="text-align:right;"> 48.92723 </td> <td style="text-align:right;"> 0.9 </td> <td style="text-align:right;"> 2.7 </td> <td style="text-align:right;"> 0.8 </td> <td style="text-align:right;"> 4.2 </td> <td style="text-align:right;"> 2464.44 </td> <td style="text-align:right;"> 3443 </td> <td style="text-align:right;"> 1185.2346544 </td> <td style="text-align:right;"> 34.9 </td> <td style="text-align:right;"> 11.9 </td> <td style="text-align:right;"> 61.7 </td> <td style="text-align:right;"> 86.93761 </td> <td style="text-align:right;"> 64.89967 </td> <td style="text-align:right;"> 8.160000 </td> <td style="text-align:right;"> 10.10 </td> <td style="text-align:right;"> 9.120000 </td> <td style="text-align:right;"> 16.64 </td> <td style="text-align:right;"> 16.00 </td> <td style="text-align:right;"> 16.28 </td> </tr> <tr> <td style="text-align:left;"> Luxembourg </td> <td style="text-align:left;"> LUX </td> <td style="text-align:right;"> 108.33 </td> <td style="text-align:right;"> 76.8400000 </td> <td style="text-align:right;"> 5.1071545 </td> <td style="text-align:right;"> 2949098684 </td> <td style="text-align:right;"> 195300 </td> <td style="text-align:right;"> 34.4601855 </td> <td style="text-align:right;"> 276900 </td> <td style="text-align:right;"> 48.8582968 </td> <td style="text-align:right;"> 4.3018503 </td> <td style="text-align:right;"> 4.283164e+09 </td> <td style="text-align:right;"> 96.376714 </td> <td style="text-align:right;"> 84.700 </td> <td style="text-align:right;"> 80.000 </td> <td style="text-align:right;"> 82.29268 </td> <td style="text-align:right;"> 806800 </td> <td style="text-align:right;"> 142.35780 </td> <td style="text-align:right;"> 6.5 </td> <td style="text-align:right;"> 9.7 </td> <td style="text-align:right;"> 7.4 </td> <td style="text-align:right;"> 11.9 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 0.0 </td> <td style="text-align:right;"> 0.7 </td> <td style="text-align:right;"> 36.401 </td> <td style="text-align:right;"> 72.385 </td> <td style="text-align:right;"> 2.4 </td> <td style="text-align:right;"> 2.1 </td> <td style="text-align:right;"> 2.6 </td> <td style="text-align:right;"> 1.5 </td> <td style="text-align:right;"> 2.9 </td> <td style="text-align:right;"> 2.6 </td> <td style="text-align:right;"> 3.2 </td> <td style="text-align:right;"> -1672997201 </td> <td style="text-align:right;"> 21755624005 </td> <td style="text-align:right;"> 1 </td> <td style="text-align:right;"> 7 </td> <td style="text-align:right;"> 9 </td> <td style="text-align:right;"> 1 </td> <td style="text-align:right;"> 15 </td> <td style="text-align:right;"> 9 </td> <td style="text-align:right;"> 18 </td> <td style="text-align:right;"> 11.9 </td> <td style="text-align:right;"> 9.2 </td> <td style="text-align:right;"> 14.2 </td> <td style="text-align:right;"> 9.3 </td> <td style="text-align:right;"> 35920.0 </td> <td style="text-align:right;"> 48.66091 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 1.0 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 1.2 </td> <td style="text-align:right;"> 816.12 </td> <td style="text-align:right;"> 3133 </td> <td style="text-align:right;"> 5500.3124978 </td> <td style="text-align:right;"> 12.2 </td> <td style="text-align:right;"> 7.7 </td> <td style="text-align:right;"> 16.6 </td> <td style="text-align:right;"> 92.36847 </td> <td style="text-align:right;"> 87.12086 </td> <td style="text-align:right;"> 7.350000 </td> <td style="text-align:right;"> 6.11 </td> <td style="text-align:right;"> 6.670000 </td> <td style="text-align:right;"> 15.60 </td> <td style="text-align:right;"> 18.69 </td> <td style="text-align:right;"> 17.24 </td> </tr> <tr> <td style="text-align:left;"> Madagascar </td> <td style="text-align:left;"> MDG </td> <td style="text-align:right;"> 2.28 </td> <td style="text-align:right;"> 2.0600000 </td> <td style="text-align:right;"> -2.2594178 </td> <td style="text-align:right;"> -255834415 </td> <td style="text-align:right;"> 23694 </td> <td style="text-align:right;"> 0.0977714 </td> <td style="text-align:right;"> 148635 </td> <td style="text-align:right;"> 0.6133303 </td> <td style="text-align:right;"> 7.0884571 </td> <td style="text-align:right;"> 7.847692e+07 </td> <td style="text-align:right;"> 4.173972 </td> <td style="text-align:right;"> 67.091 </td> <td style="text-align:right;"> 63.999 </td> <td style="text-align:right;"> 65.53900 </td> <td style="text-align:right;"> 10693765 </td> <td style="text-align:right;"> 44.12695 </td> <td style="text-align:right;"> 28.3 </td> <td style="text-align:right;"> 26.6 </td> <td style="text-align:right;"> 26.0 </td> <td style="text-align:right;"> 27.2 </td> <td style="text-align:right;"> 2.8 </td> <td style="text-align:right;"> 2.4 </td> <td style="text-align:right;"> 3.2 </td> <td style="text-align:right;"> 193.340 </td> <td style="text-align:right;"> 243.575 </td> <td style="text-align:right;"> 40.7 </td> <td style="text-align:right;"> 36.4 </td> <td style="text-align:right;"> 44.7 </td> <td style="text-align:right;"> 21.8 </td> <td style="text-align:right;"> 57.9 </td> <td style="text-align:right;"> 52.9 </td> <td style="text-align:right;"> 62.6 </td> <td style="text-align:right;"> -328898895 </td> <td style="text-align:right;"> -356772598 </td> <td style="text-align:right;"> 4775 </td> <td style="text-align:right;"> 6543 </td> <td style="text-align:right;"> 5674 </td> <td style="text-align:right;"> 7741 </td> <td style="text-align:right;"> 32461 </td> <td style="text-align:right;"> 17678 </td> <td style="text-align:right;"> 45661 </td> <td style="text-align:right;"> 49.3 </td> <td style="text-align:right;"> 37.2 </td> <td style="text-align:right;"> 39.4 </td> <td style="text-align:right;"> 37.4 </td> <td style="text-align:right;"> 4763524.0 </td> <td style="text-align:right;"> 49.69886 </td> <td style="text-align:right;"> 7.8 </td> <td style="text-align:right;"> 12.0 </td> <td style="text-align:right;"> 11.5 </td> <td style="text-align:right;"> 12.5 </td> <td style="text-align:right;"> 121.86 </td> <td style="text-align:right;"> 39 </td> <td style="text-align:right;"> 1.6093034 </td> <td style="text-align:right;"> 5.5 </td> <td style="text-align:right;"> 3.4 </td> <td style="text-align:right;"> 7.6 </td> <td style="text-align:right;"> 69.51655 </td> <td style="text-align:right;"> 62.46617 </td> <td style="text-align:right;"> 1.800000 </td> <td style="text-align:right;"> 1.77 </td> <td style="text-align:right;"> 1.790000 </td> <td style="text-align:right;"> 2.92 </td> <td style="text-align:right;"> 3.67 </td> <td style="text-align:right;"> 3.31 </td> </tr> <tr> <td style="text-align:left;"> Malawi </td> <td style="text-align:left;"> MWI </td> <td style="text-align:right;"> 5.21 </td> <td style="text-align:right;"> 3.3700000 </td> <td style="text-align:right;"> -16.7015138 </td> <td style="text-align:right;"> -1064422990 </td> <td style="text-align:right;"> 5855 </td> <td style="text-align:right;"> 0.0349650 </td> <td style="text-align:right;"> 14462 </td> <td style="text-align:right;"> 0.0863645 </td> <td style="text-align:right;"> 19.3830647 </td> <td style="text-align:right;"> 2.254135e+07 </td> <td style="text-align:right;"> 5.300000 </td> <td style="text-align:right;"> 65.016 </td> <td style="text-align:right;"> 58.898 </td> <td style="text-align:right;"> 61.95300 </td> <td style="text-align:right;"> 6566707 </td> <td style="text-align:right;"> 39.21522 </td> <td style="text-align:right;"> 32.4 </td> <td style="text-align:right;"> 24.0 </td> <td style="text-align:right;"> 20.9 </td> <td style="text-align:right;"> 27.7 </td> <td style="text-align:right;"> 2.1 </td> <td style="text-align:right;"> 1.5 </td> <td style="text-align:right;"> 2.8 </td> <td style="text-align:right;"> 238.148 </td> <td style="text-align:right;"> 351.568 </td> <td style="text-align:right;"> 37.3 </td> <td style="text-align:right;"> 33.1 </td> <td style="text-align:right;"> 41.3 </td> <td style="text-align:right;"> 22.8 </td> <td style="text-align:right;"> 53.8 </td> <td style="text-align:right;"> 48.4 </td> <td style="text-align:right;"> 58.8 </td> <td style="text-align:right;"> -1066224474 </td> <td style="text-align:right;"> -1242563525 </td> <td style="text-align:right;"> 2217 </td> <td style="text-align:right;"> 3159 </td> <td style="text-align:right;"> 4182 </td> <td style="text-align:right;"> 4576 </td> <td style="text-align:right;"> 22184 </td> <td style="text-align:right;"> 13695 </td> <td style="text-align:right;"> 31828 </td> <td style="text-align:right;"> 60.0 </td> <td style="text-align:right;"> 29.5 </td> <td style="text-align:right;"> 39.0 </td> <td style="text-align:right;"> 30.4 </td> <td style="text-align:right;"> 4204502.0 </td> <td style="text-align:right;"> 50.32556 </td> <td style="text-align:right;"> 5.0 </td> <td style="text-align:right;"> 8.4 </td> <td style="text-align:right;"> 8.8 </td> <td style="text-align:right;"> 13.1 </td> <td style="text-align:right;"> 178.87 </td> <td style="text-align:right;"> 38 </td> <td style="text-align:right;"> 2.2692931 </td> <td style="text-align:right;"> 6.2 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 10.3 </td> <td style="text-align:right;"> 64.71343 </td> <td style="text-align:right;"> 50.82970 </td> <td style="text-align:right;"> 6.810000 </td> <td style="text-align:right;"> 4.94 </td> <td style="text-align:right;"> 5.850000 </td> <td style="text-align:right;"> 8.31 </td> <td style="text-align:right;"> 7.19 </td> <td style="text-align:right;"> 7.74 </td> </tr> <tr> <td style="text-align:left;"> Malaysia </td> <td style="text-align:left;"> MYS </td> <td style="text-align:right;"> 51.27 </td> <td style="text-align:right;"> 10.6900000 </td> <td style="text-align:right;"> 3.0089231 </td> <td style="text-align:right;"> 9067534382 </td> <td style="text-align:right;"> 3063800 </td> <td style="text-align:right;"> 10.1212508 </td> <td style="text-align:right;"> 4489500 </td> <td style="text-align:right;"> 14.8310450 </td> <td style="text-align:right;"> 7.6032976 </td> <td style="text-align:right;"> 2.656379e+09 </td> <td style="text-align:right;"> 71.064068 </td> <td style="text-align:right;"> 77.663 </td> <td style="text-align:right;"> 73.521 </td> <td style="text-align:right;"> 75.46100 </td> <td style="text-align:right;"> 44104000 </td> <td style="text-align:right;"> 145.69738 </td> <td style="text-align:right;"> 22.8 </td> <td style="text-align:right;"> 17.7 </td> <td style="text-align:right;"> 14.1 </td> <td style="text-align:right;"> 21.1 </td> <td style="text-align:right;"> 0.6 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.9 </td> <td style="text-align:right;"> 85.207 </td> <td style="text-align:right;"> 158.239 </td> <td style="text-align:right;"> 6.9 </td> <td style="text-align:right;"> 6.3 </td> <td style="text-align:right;"> 7.5 </td> <td style="text-align:right;"> 4.2 </td> <td style="text-align:right;"> 8.1 </td> <td style="text-align:right;"> 7.4 </td> <td style="text-align:right;"> 8.7 </td> <td style="text-align:right;"> 27943873215 </td> <td style="text-align:right;"> 22711691906 </td> <td style="text-align:right;"> 764 </td> <td style="text-align:right;"> 1928 </td> <td style="text-align:right;"> 2095 </td> <td style="text-align:right;"> 571 </td> <td style="text-align:right;"> 3533 </td> <td style="text-align:right;"> 2167 </td> <td style="text-align:right;"> 4112 </td> <td style="text-align:right;"> 30.3 </td> <td style="text-align:right;"> 30.7 </td> <td style="text-align:right;"> 31.2 </td> <td style="text-align:right;"> 30.7 </td> <td style="text-align:right;"> 3107870.0 </td> <td style="text-align:right;"> 48.66896 </td> <td style="text-align:right;"> 1.4 </td> <td style="text-align:right;"> 3.4 </td> <td style="text-align:right;"> 1.2 </td> <td style="text-align:right;"> 3.6 </td> <td style="text-align:right;"> 18635.26 </td> <td style="text-align:right;"> 7079 </td> <td style="text-align:right;"> 233.8544774 </td> <td style="text-align:right;"> 4.8 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 7.3 </td> <td style="text-align:right;"> 86.24492 </td> <td style="text-align:right;"> 76.00750 </td> <td style="text-align:right;"> 3.390000 </td> <td style="text-align:right;"> 2.92 </td> <td style="text-align:right;"> 3.100000 </td> <td style="text-align:right;"> 12.24 </td> <td style="text-align:right;"> 10.44 </td> <td style="text-align:right;"> 11.15 </td> </tr> <tr> <td style="text-align:left;"> Maldives </td> <td style="text-align:left;"> MDV </td> <td style="text-align:right;"> 23.16 </td> <td style="text-align:right;"> 10.0400000 </td> <td style="text-align:right;"> -7.3415400 </td> <td style="text-align:right;"> -301696716 </td> <td style="text-align:right;"> 23175 </td> <td style="text-align:right;"> 5.0943583 </td> <td style="text-align:right;"> 21911 </td> <td style="text-align:right;"> 4.8165042 </td> <td style="text-align:right;"> 2.9969395 </td> <td style="text-align:right;"> 8.706911e+07 </td> <td style="text-align:right;"> 54.461955 </td> <td style="text-align:right;"> 79.490 </td> <td style="text-align:right;"> 76.323 </td> <td style="text-align:right;"> 77.69100 </td> <td style="text-align:right;"> 739790 </td> <td style="text-align:right;"> 162.62159 </td> <td style="text-align:right;"> 2.6 </td> <td style="text-align:right;"> 12.7 </td> <td style="text-align:right;"> 9.9 </td> <td style="text-align:right;"> 14.9 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.0 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 56.521 </td> <td style="text-align:right;"> 80.203 </td> <td style="text-align:right;"> 8.7 </td> <td style="text-align:right;"> 7.8 </td> <td style="text-align:right;"> 9.6 </td> <td style="text-align:right;"> 5.9 </td> <td style="text-align:right;"> 10.1 </td> <td style="text-align:right;"> 9.1 </td> <td style="text-align:right;"> 11.1 </td> <td style="text-align:right;"> -1654653828 </td> <td style="text-align:right;"> 375920283 </td> <td style="text-align:right;"> 7 </td> <td style="text-align:right;"> 15 </td> <td style="text-align:right;"> 26 </td> <td style="text-align:right;"> 7 </td> <td style="text-align:right;"> 65 </td> <td style="text-align:right;"> 44 </td> <td style="text-align:right;"> 76 </td> <td style="text-align:right;"> 38.4 </td> <td style="text-align:right;"> 48.3 </td> <td style="text-align:right;"> 48.2 </td> <td style="text-align:right;"> 48.3 </td> <td style="text-align:right;"> 42137.0 </td> <td style="text-align:right;"> 48.42775 </td> <td style="text-align:right;"> 1.3 </td> <td style="text-align:right;"> 2.3 </td> <td style="text-align:right;"> 1.1 </td> <td style="text-align:right;"> 2.5 </td> <td style="text-align:right;"> 7.08 </td> <td style="text-align:right;"> 53 </td> <td style="text-align:right;"> 116.5052812 </td> <td style="text-align:right;"> 2.8 </td> <td style="text-align:right;"> 0.8 </td> <td style="text-align:right;"> 4.1 </td> <td style="text-align:right;"> 90.67229 </td> <td style="text-align:right;"> 85.95095 </td> <td style="text-align:right;"> 5.780000 </td> <td style="text-align:right;"> 5.63 </td> <td style="text-align:right;"> 5.670000 </td> <td style="text-align:right;"> 12.00 </td> <td style="text-align:right;"> 15.81 </td> <td style="text-align:right;"> 14.65 </td> </tr> <tr> <td style="text-align:left;"> Malta </td> <td style="text-align:left;"> MLT </td> <td style="text-align:right;"> 55.27 </td> <td style="text-align:right;"> 37.2000000 </td> <td style="text-align:right;"> 2.7096811 </td> <td style="text-align:right;"> 300542507 </td> <td style="text-align:right;"> 163205 </td> <td style="text-align:right;"> 37.6430889 </td> <td style="text-align:right;"> 230226 </td> <td style="text-align:right;"> 53.1014233 </td> <td style="text-align:right;"> 0.5975165 </td> <td style="text-align:right;"> 8.061146e+07 </td> <td style="text-align:right;"> 75.960019 </td> <td style="text-align:right;"> 84.100 </td> <td style="text-align:right;"> 79.800 </td> <td style="text-align:right;"> 81.89756 </td> <td style="text-align:right;"> 524161 </td> <td style="text-align:right;"> 120.89727 </td> <td style="text-align:right;"> 2.8 </td> <td style="text-align:right;"> 10.7 </td> <td style="text-align:right;"> 8.1 </td> <td style="text-align:right;"> 13.4 </td> <td style="text-align:right;"> 0.0 </td> <td style="text-align:right;"> 0.0 </td> <td style="text-align:right;"> 0.0 </td> <td style="text-align:right;"> 36.681 </td> <td style="text-align:right;"> 66.946 </td> <td style="text-align:right;"> 6.1 </td> <td style="text-align:right;"> 5.6 </td> <td style="text-align:right;"> 6.6 </td> <td style="text-align:right;"> 4.7 </td> <td style="text-align:right;"> 7.0 </td> <td style="text-align:right;"> 6.4 </td> <td style="text-align:right;"> 7.6 </td> <td style="text-align:right;"> -2192010782 </td> <td style="text-align:right;"> 1038114346 </td> <td style="text-align:right;"> 3 </td> <td style="text-align:right;"> 6 </td> <td style="text-align:right;"> 9 </td> <td style="text-align:right;"> 1 </td> <td style="text-align:right;"> 25 </td> <td style="text-align:right;"> 20 </td> <td style="text-align:right;"> 29 </td> <td style="text-align:right;"> 12.6 </td> <td style="text-align:right;"> 12.4 </td> <td style="text-align:right;"> 18.6 </td> <td style="text-align:right;"> 12.6 </td> <td style="text-align:right;"> 24624.0 </td> <td style="text-align:right;"> 48.81010 </td> <td style="text-align:right;"> 0.6 </td> <td style="text-align:right;"> 1.2 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 1.6 </td> <td style="text-align:right;"> 314.53 </td> <td style="text-align:right;"> 1570 </td> <td style="text-align:right;"> 3527.6697382 </td> <td style="text-align:right;"> 7.2 </td> <td style="text-align:right;"> 2.7 </td> <td style="text-align:right;"> 11.6 </td> <td style="text-align:right;"> 93.31831 </td> <td style="text-align:right;"> 89.15802 </td> <td style="text-align:right;"> 5.390000 </td> <td style="text-align:right;"> 5.37 </td> <td style="text-align:right;"> 5.380000 </td> <td style="text-align:right;"> 9.83 </td> <td style="text-align:right;"> 13.14 </td> <td style="text-align:right;"> 11.62 </td> </tr> <tr> <td style="text-align:left;"> Mauritania </td> <td style="text-align:left;"> MRT </td> <td style="text-align:right;"> 9.43 </td> <td style="text-align:right;"> 7.3900000 </td> <td style="text-align:right;"> -15.5013622 </td> <td style="text-align:right;"> -955946938 </td> <td style="text-align:right;"> 9638 </td> <td style="text-align:right;"> 0.2381929 </td> <td style="text-align:right;"> 51294 </td> <td style="text-align:right;"> 1.2676763 </td> <td style="text-align:right;"> 6.6235462 </td> <td style="text-align:right;"> 1.630562e+07 </td> <td style="text-align:right;"> 15.199127 </td> <td style="text-align:right;"> 65.580 </td> <td style="text-align:right;"> 62.251 </td> <td style="text-align:right;"> 63.93600 </td> <td style="text-align:right;"> 3644483 </td> <td style="text-align:right;"> 90.06950 </td> <td style="text-align:right;"> 25.8 </td> <td style="text-align:right;"> 15.9 </td> <td style="text-align:right;"> 18.0 </td> <td style="text-align:right;"> 13.3 </td> <td style="text-align:right;"> 1.6 </td> <td style="text-align:right;"> 1.3 </td> <td style="text-align:right;"> 1.8 </td> <td style="text-align:right;"> 181.083 </td> <td style="text-align:right;"> 226.084 </td> <td style="text-align:right;"> 55.0 </td> <td style="text-align:right;"> 49.2 </td> <td style="text-align:right;"> 60.6 </td> <td style="text-align:right;"> 34.8 </td> <td style="text-align:right;"> 82.7 </td> <td style="text-align:right;"> 76.3 </td> <td style="text-align:right;"> 88.8 </td> <td style="text-align:right;"> -559441770 </td> <td style="text-align:right;"> -954011173 </td> <td style="text-align:right;"> 220 </td> <td style="text-align:right;"> 915 </td> <td style="text-align:right;"> 1071 </td> <td style="text-align:right;"> 638 </td> <td style="text-align:right;"> 7660 </td> <td style="text-align:right;"> 4931 </td> <td style="text-align:right;"> 11346 </td> <td style="text-align:right;"> 68.2 </td> <td style="text-align:right;"> 43.6 </td> <td style="text-align:right;"> 50.5 </td> <td style="text-align:right;"> 44.2 </td> <td style="text-align:right;"> 632761.0 </td> <td style="text-align:right;"> 50.48446 </td> <td style="text-align:right;"> 2.3 </td> <td style="text-align:right;"> 10.9 </td> <td style="text-align:right;"> 5.9 </td> <td style="text-align:right;"> 14.3 </td> <td style="text-align:right;"> 14.06 </td> <td style="text-align:right;"> 14 </td> <td style="text-align:right;"> 3.4599502 </td> <td style="text-align:right;"> 3.0 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 3.9 </td> <td style="text-align:right;"> 68.28864 </td> <td style="text-align:right;"> 61.48002 </td> <td style="text-align:right;"> 11.910000 </td> <td style="text-align:right;"> 9.46 </td> <td style="text-align:right;"> 10.220000 </td> <td style="text-align:right;"> 21.89 </td> <td style="text-align:right;"> 17.27 </td> <td style="text-align:right;"> 18.70 </td> </tr> <tr> <td style="text-align:left;"> Mauritius </td> <td style="text-align:left;"> MUS </td> <td style="text-align:right;"> 45.59 </td> <td style="text-align:right;"> 21.7200000 </td> <td style="text-align:right;"> -3.5663204 </td> <td style="text-align:right;"> -416984417 </td> <td style="text-align:right;"> 197400 </td> <td style="text-align:right;"> 15.6734336 </td> <td style="text-align:right;"> 380000 </td> <td style="text-align:right;"> 30.1717567 </td> <td style="text-align:right;"> 5.0005883 </td> <td style="text-align:right;"> 1.366564e+08 </td> <td style="text-align:right;"> 50.139319 </td> <td style="text-align:right;"> 77.790 </td> <td style="text-align:right;"> 71.080 </td> <td style="text-align:right;"> 74.35317 </td> <td style="text-align:right;"> 1762300 </td> <td style="text-align:right;"> 139.92549 </td> <td style="text-align:right;"> 13.8 </td> <td style="text-align:right;"> 23.5 </td> <td style="text-align:right;"> 18.0 </td> <td style="text-align:right;"> 29.1 </td> <td style="text-align:right;"> 1.0 </td> <td style="text-align:right;"> 0.8 </td> <td style="text-align:right;"> 1.2 </td> <td style="text-align:right;"> 95.373 </td> <td style="text-align:right;"> 193.350 </td> <td style="text-align:right;"> 12.7 </td> <td style="text-align:right;"> 11.4 </td> <td style="text-align:right;"> 14.0 </td> <td style="text-align:right;"> 9.1 </td> <td style="text-align:right;"> 14.5 </td> <td style="text-align:right;"> 13.1 </td> <td style="text-align:right;"> 15.9 </td> <td style="text-align:right;"> -1862290302 </td> <td style="text-align:right;"> -1170543454 </td> <td style="text-align:right;"> 20 </td> <td style="text-align:right;"> 54 </td> <td style="text-align:right;"> 95 </td> <td style="text-align:right;"> 15 </td> <td style="text-align:right;"> 171 </td> <td style="text-align:right;"> 121 </td> <td style="text-align:right;"> 196 </td> <td style="text-align:right;"> 39.1 </td> <td style="text-align:right;"> 20.5 </td> <td style="text-align:right;"> 28.0 </td> <td style="text-align:right;"> 20.7 </td> <td style="text-align:right;"> 101633.0 </td> <td style="text-align:right;"> 49.46818 </td> <td style="text-align:right;"> 1.1 </td> <td style="text-align:right;"> 2.9 </td> <td style="text-align:right;"> 0.9 </td> <td style="text-align:right;"> 4.6 </td> <td style="text-align:right;"> 119.52 </td> <td style="text-align:right;"> 296 </td> <td style="text-align:right;"> 234.4359479 </td> <td style="text-align:right;"> 7.9 </td> <td style="text-align:right;"> 3.8 </td> <td style="text-align:right;"> 12.1 </td> <td style="text-align:right;"> 84.46101 </td> <td style="text-align:right;"> 71.49288 </td> <td style="text-align:right;"> 10.700000 </td> <td style="text-align:right;"> 5.29 </td> <td style="text-align:right;"> 7.410000 </td> <td style="text-align:right;"> 30.82 </td> <td style="text-align:right;"> 20.76 </td> <td style="text-align:right;"> 25.02 </td> </tr> <tr> <td style="text-align:left;"> Mexico </td> <td style="text-align:left;"> MEX </td> <td style="text-align:right;"> 52.90 </td> <td style="text-align:right;"> 13.9200000 </td> <td style="text-align:right;"> -2.6502828 </td> <td style="text-align:right;"> -31057805133 </td> <td style="text-align:right;"> 14757686 </td> <td style="text-align:right;"> 12.1105342 </td> <td style="text-align:right;"> 20170913 </td> <td style="text-align:right;"> 16.5527666 </td> <td style="text-align:right;"> 0.6962918 </td> <td style="text-align:right;"> 1.594739e+08 </td> <td style="text-align:right;"> 57.431043 </td> <td style="text-align:right;"> 77.837 </td> <td style="text-align:right;"> 71.954 </td> <td style="text-align:right;"> 74.90400 </td> <td style="text-align:right;"> 107688282 </td> <td style="text-align:right;"> 88.37176 </td> <td style="text-align:right;"> 13.6 </td> <td style="text-align:right;"> 15.7 </td> <td style="text-align:right;"> 13.9 </td> <td style="text-align:right;"> 17.7 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.8 </td> <td style="text-align:right;"> 79.743 </td> <td style="text-align:right;"> 141.938 </td> <td style="text-align:right;"> 13.9 </td> <td style="text-align:right;"> 12.5 </td> <td style="text-align:right;"> 15.3 </td> <td style="text-align:right;"> 8.3 </td> <td style="text-align:right;"> 16.2 </td> <td style="text-align:right;"> 14.6 </td> <td style="text-align:right;"> 17.7 </td> <td style="text-align:right;"> -14598592631 </td> <td style="text-align:right;"> -24375328389 </td> <td style="text-align:right;"> 3331 </td> <td style="text-align:right;"> 8362 </td> <td style="text-align:right;"> 12791 </td> <td style="text-align:right;"> 2574 </td> <td style="text-align:right;"> 31512 </td> <td style="text-align:right;"> 18777 </td> <td style="text-align:right;"> 36685 </td> <td style="text-align:right;"> 27.7 </td> <td style="text-align:right;"> 14.9 </td> <td style="text-align:right;"> 20.6 </td> <td style="text-align:right;"> 15.1 </td> <td style="text-align:right;"> 14397928.0 </td> <td style="text-align:right;"> 48.93556 </td> <td style="text-align:right;"> 1.5 </td> <td style="text-align:right;"> 3.8 </td> <td style="text-align:right;"> 1.2 </td> <td style="text-align:right;"> 5.8 </td> <td style="text-align:right;"> 14585.58 </td> <td style="text-align:right;"> 7054 </td> <td style="text-align:right;"> 57.8869263 </td> <td style="text-align:right;"> 5.6 </td> <td style="text-align:right;"> 2.3 </td> <td style="text-align:right;"> 9.0 </td> <td style="text-align:right;"> 84.03173 </td> <td style="text-align:right;"> 73.07964 </td> <td style="text-align:right;"> 4.450000 </td> <td style="text-align:right;"> 4.23 </td> <td style="text-align:right;"> 4.310000 </td> <td style="text-align:right;"> 9.93 </td> <td style="text-align:right;"> 7.75 </td> <td style="text-align:right;"> 8.51 </td> </tr> <tr> <td style="text-align:left;"> Moldova </td> <td style="text-align:left;"> MDA </td> <td style="text-align:right;"> 40.76 </td> <td style="text-align:right;"> 34.5600000 </td> <td style="text-align:right;"> -5.9758058 </td> <td style="text-align:right;"> -462840000 </td> <td style="text-align:right;"> 534393 </td> <td style="text-align:right;"> 13.1277913 </td> <td style="text-align:right;"> 1202466 </td> <td style="text-align:right;"> 29.5395386 </td> <td style="text-align:right;"> 16.5087419 </td> <td style="text-align:right;"> 1.620300e+08 </td> <td style="text-align:right;"> 69.000005 </td> <td style="text-align:right;"> 75.760 </td> <td style="text-align:right;"> 67.208 </td> <td style="text-align:right;"> 71.47800 </td> <td style="text-align:right;"> 3713137 </td> <td style="text-align:right;"> 91.21618 </td> <td style="text-align:right;"> 10.4 </td> <td style="text-align:right;"> 26.6 </td> <td style="text-align:right;"> 18.6 </td> <td style="text-align:right;"> 35.5 </td> <td style="text-align:right;"> 7.1 </td> <td style="text-align:right;"> 3.6 </td> <td style="text-align:right;"> 10.9 </td> <td style="text-align:right;"> 98.788 </td> <td style="text-align:right;"> 243.767 </td> <td style="text-align:right;"> 13.4 </td> <td style="text-align:right;"> 11.8 </td> <td style="text-align:right;"> 14.9 </td> <td style="text-align:right;"> 11.6 </td> <td style="text-align:right;"> 15.6 </td> <td style="text-align:right;"> 13.8 </td> <td style="text-align:right;"> 17.3 </td> <td style="text-align:right;"> -2123730000 </td> <td style="text-align:right;"> -1991460000 </td> <td style="text-align:right;"> 60 </td> <td style="text-align:right;"> 135 </td> <td style="text-align:right;"> 264 </td> <td style="text-align:right;"> 55 </td> <td style="text-align:right;"> 582 </td> <td style="text-align:right;"> 501 </td> <td style="text-align:right;"> 680 </td> <td style="text-align:right;"> 26.0 </td> <td style="text-align:right;"> 25.9 </td> <td style="text-align:right;"> 27.7 </td> <td style="text-align:right;"> 25.9 </td> <td style="text-align:right;"> 138536.0 </td> <td style="text-align:right;"> 48.29503 </td> <td style="text-align:right;"> 1.5 </td> <td style="text-align:right;"> 2.8 </td> <td style="text-align:right;"> 1.3 </td> <td style="text-align:right;"> 4.0 </td> <td style="text-align:right;"> 192.78 </td> <td style="text-align:right;"> 361 </td> <td style="text-align:right;"> 127.3579747 </td> <td style="text-align:right;"> 16.2 </td> <td style="text-align:right;"> 5.4 </td> <td style="text-align:right;"> 27.8 </td> <td style="text-align:right;"> 82.44282 </td> <td style="text-align:right;"> 62.86038 </td> <td style="text-align:right;"> 2.920000 </td> <td style="text-align:right;"> 4.45 </td> <td style="text-align:right;"> 3.690000 </td> <td style="text-align:right;"> 12.94 </td> <td style="text-align:right;"> 9.25 </td> <td style="text-align:right;"> 10.76 </td> </tr> <tr> <td style="text-align:left;"> Mongolia </td> <td style="text-align:left;"> MNG </td> <td style="text-align:right;"> 72.43 </td> <td style="text-align:right;"> 70.1300000 </td> <td style="text-align:right;"> -8.0722215 </td> <td style="text-align:right;"> -948455403 </td> <td style="text-align:right;"> 208047 </td> <td style="text-align:right;"> 6.9385103 </td> <td style="text-align:right;"> 255634 </td> <td style="text-align:right;"> 8.5255695 </td> <td style="text-align:right;"> 1.7507849 </td> <td style="text-align:right;"> 1.206024e+07 </td> <td style="text-align:right;"> 22.500004 </td> <td style="text-align:right;"> 73.373 </td> <td style="text-align:right;"> 65.103 </td> <td style="text-align:right;"> 69.11100 </td> <td style="text-align:right;"> 3068156 </td> <td style="text-align:right;"> 102.32511 </td> <td style="text-align:right;"> 19.4 </td> <td style="text-align:right;"> 36.1 </td> <td style="text-align:right;"> 26.1 </td> <td style="text-align:right;"> 46.2 </td> <td style="text-align:right;"> 2.9 </td> <td style="text-align:right;"> 1.9 </td> <td style="text-align:right;"> 3.9 </td> <td style="text-align:right;"> 129.494 </td> <td style="text-align:right;"> 296.188 </td> <td style="text-align:right;"> 17.3 </td> <td style="text-align:right;"> 14.8 </td> <td style="text-align:right;"> 19.6 </td> <td style="text-align:right;"> 9.6 </td> <td style="text-align:right;"> 20.2 </td> <td style="text-align:right;"> 17.5 </td> <td style="text-align:right;"> 22.8 </td> <td style="text-align:right;"> 562603646 </td> <td style="text-align:right;"> -152864021 </td> <td style="text-align:right;"> 114 </td> <td style="text-align:right;"> 207 </td> <td style="text-align:right;"> 353 </td> <td style="text-align:right;"> 141 </td> <td style="text-align:right;"> 1327 </td> <td style="text-align:right;"> 743 </td> <td style="text-align:right;"> 1540 </td> <td style="text-align:right;"> 29.3 </td> <td style="text-align:right;"> 13.4 </td> <td style="text-align:right;"> 25.1 </td> <td style="text-align:right;"> 14.1 </td> <td style="text-align:right;"> 251204.0 </td> <td style="text-align:right;"> 49.00121 </td> <td style="text-align:right;"> 2.6 </td> <td style="text-align:right;"> 4.5 </td> <td style="text-align:right;"> 2.5 </td> <td style="text-align:right;"> 6.4 </td> <td style="text-align:right;"> 104.40 </td> <td style="text-align:right;"> 225 </td> <td style="text-align:right;"> 75.0390453 </td> <td style="text-align:right;"> 20.0 </td> <td style="text-align:right;"> 6.4 </td> <td style="text-align:right;"> 33.9 </td> <td style="text-align:right;"> 78.30676 </td> <td style="text-align:right;"> 58.27125 </td> <td style="text-align:right;"> 4.250000 </td> <td style="text-align:right;"> 5.37 </td> <td style="text-align:right;"> 4.860000 </td> <td style="text-align:right;"> 13.57 </td> <td style="text-align:right;"> 11.93 </td> <td style="text-align:right;"> 12.61 </td> </tr> <tr> <td style="text-align:left;"> Montenegro </td> <td style="text-align:left;"> MNE </td> <td style="text-align:right;"> 76.12 </td> <td style="text-align:right;"> 42.9900000 </td> <td style="text-align:right;"> -10.9333255 </td> <td style="text-align:right;"> -443138380 </td> <td style="text-align:right;"> 112394 </td> <td style="text-align:right;"> 17.9269359 </td> <td style="text-align:right;"> 154448 </td> <td style="text-align:right;"> 24.6345836 </td> <td style="text-align:right;"> 4.9015719 </td> <td style="text-align:right;"> 6.603617e+07 </td> <td style="text-align:right;"> 68.119786 </td> <td style="text-align:right;"> 78.899 </td> <td style="text-align:right;"> 73.982 </td> <td style="text-align:right;"> 76.45200 </td> <td style="text-align:right;"> 1007890 </td> <td style="text-align:right;"> 160.75929 </td> <td style="text-align:right;"> 8.5 </td> <td style="text-align:right;"> 22.8 </td> <td style="text-align:right;"> 16.7 </td> <td style="text-align:right;"> 29.0 </td> <td style="text-align:right;"> 0.6 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 0.8 </td> <td style="text-align:right;"> 70.056 </td> <td style="text-align:right;"> 131.666 </td> <td style="text-align:right;"> 3.1 </td> <td style="text-align:right;"> 3.0 </td> <td style="text-align:right;"> 3.3 </td> <td style="text-align:right;"> 2.1 </td> <td style="text-align:right;"> 3.6 </td> <td style="text-align:right;"> 3.3 </td> <td style="text-align:right;"> 3.8 </td> <td style="text-align:right;"> -1622771655 </td> <td style="text-align:right;"> -746505642 </td> <td style="text-align:right;"> 4 </td> <td style="text-align:right;"> 11 </td> <td style="text-align:right;"> 19 </td> <td style="text-align:right;"> 5 </td> <td style="text-align:right;"> 23 </td> <td style="text-align:right;"> 16 </td> <td style="text-align:right;"> 27 </td> <td style="text-align:right;"> 26.3 </td> <td style="text-align:right;"> 16.2 </td> <td style="text-align:right;"> 20.2 </td> <td style="text-align:right;"> 16.3 </td> <td style="text-align:right;"> 37585.0 </td> <td style="text-align:right;"> 47.61740 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 1.4 </td> <td style="text-align:right;"> 0.6 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 224.17 </td> <td style="text-align:right;"> 59 </td> <td style="text-align:right;"> 94.8310641 </td> <td style="text-align:right;"> 20.7 </td> <td style="text-align:right;"> 10.9 </td> <td style="text-align:right;"> 30.7 </td> <td style="text-align:right;"> 88.48242 </td> <td style="text-align:right;"> 78.78287 </td> <td style="text-align:right;"> 17.309999 </td> <td style="text-align:right;"> 17.74 </td> <td style="text-align:right;"> 17.540001 </td> <td style="text-align:right;"> 34.47 </td> <td style="text-align:right;"> 39.88 </td> <td style="text-align:right;"> 37.56 </td> </tr> <tr> <td style="text-align:left;"> Morocco </td> <td style="text-align:left;"> MAR </td> <td style="text-align:right;"> 26.06 </td> <td style="text-align:right;"> 24.5800000 </td> <td style="text-align:right;"> -2.1355019 </td> <td style="text-align:right;"> -2160696677 </td> <td style="text-align:right;"> 1147533 </td> <td style="text-align:right;"> 3.3104839 </td> <td style="text-align:right;"> 2222370 </td> <td style="text-align:right;"> 6.4112493 </td> <td style="text-align:right;"> 9.7863739 </td> <td style="text-align:right;"> 1.436004e+09 </td> <td style="text-align:right;"> 57.079999 </td> <td style="text-align:right;"> 76.963 </td> <td style="text-align:right;"> 74.433 </td> <td style="text-align:right;"> 75.72600 </td> <td style="text-align:right;"> 43079696 </td> <td style="text-align:right;"> 124.27934 </td> <td style="text-align:right;"> 19.7 </td> <td style="text-align:right;"> 24.4 </td> <td style="text-align:right;"> 22.9 </td> <td style="text-align:right;"> 25.8 </td> <td style="text-align:right;"> 0.8 </td> <td style="text-align:right;"> 0.9 </td> <td style="text-align:right;"> 0.7 </td> <td style="text-align:right;"> 66.033 </td> <td style="text-align:right;"> 75.794 </td> <td style="text-align:right;"> 21.7 </td> <td style="text-align:right;"> 19.4 </td> <td style="text-align:right;"> 23.9 </td> <td style="text-align:right;"> 16.1 </td> <td style="text-align:right;"> 25.3 </td> <td style="text-align:right;"> 22.7 </td> <td style="text-align:right;"> 27.7 </td> <td style="text-align:right;"> -14688336713 </td> <td style="text-align:right;"> -7927842024 </td> <td style="text-align:right;"> 662 </td> <td style="text-align:right;"> 2248 </td> <td style="text-align:right;"> 2733 </td> <td style="text-align:right;"> 1170 </td> <td style="text-align:right;"> 15230 </td> <td style="text-align:right;"> 11338 </td> <td style="text-align:right;"> 17732 </td> <td style="text-align:right;"> 33.3 </td> <td style="text-align:right;"> 29.3 </td> <td style="text-align:right;"> 33.0 </td> <td style="text-align:right;"> 29.5 </td> <td style="text-align:right;"> 4039392.0 </td> <td style="text-align:right;"> 47.40253 </td> <td style="text-align:right;"> 1.1 </td> <td style="text-align:right;"> 3.8 </td> <td style="text-align:right;"> 1.9 </td> <td style="text-align:right;"> 4.4 </td> <td style="text-align:right;"> 2980.65 </td> <td style="text-align:right;"> 328 </td> <td style="text-align:right;"> 9.4623747 </td> <td style="text-align:right;"> 7.4 </td> <td style="text-align:right;"> 5.3 </td> <td style="text-align:right;"> 9.5 </td> <td style="text-align:right;"> 87.72804 </td> <td style="text-align:right;"> 85.21003 </td> <td style="text-align:right;"> 10.420000 </td> <td style="text-align:right;"> 9.14 </td> <td style="text-align:right;"> 9.460000 </td> <td style="text-align:right;"> 21.92 </td> <td style="text-align:right;"> 20.59 </td> <td style="text-align:right;"> 20.92 </td> </tr> <tr> <td style="text-align:left;"> Mozambique </td> <td style="text-align:left;"> MOZ </td> <td style="text-align:right;"> 10.68 </td> <td style="text-align:right;"> 4.2900000 </td> <td style="text-align:right;"> -37.4137163 </td> <td style="text-align:right;"> -5967850296 </td> <td style="text-align:right;"> 42570 </td> <td style="text-align:right;"> 0.1574218 </td> <td style="text-align:right;"> 89292 </td> <td style="text-align:right;"> 0.3301974 </td> <td style="text-align:right;"> 2.2652428 </td> <td style="text-align:right;"> 1.636911e+07 </td> <td style="text-align:right;"> 16.933533 </td> <td style="text-align:right;"> 59.921 </td> <td style="text-align:right;"> 54.295 </td> <td style="text-align:right;"> 57.20600 </td> <td style="text-align:right;"> 20134932 </td> <td style="text-align:right;"> 74.45799 </td> <td style="text-align:right;"> 30.7 </td> <td style="text-align:right;"> 31.8 </td> <td style="text-align:right;"> 24.2 </td> <td style="text-align:right;"> 41.1 </td> <td style="text-align:right;"> 3.9 </td> <td style="text-align:right;"> 2.8 </td> <td style="text-align:right;"> 5.1 </td> <td style="text-align:right;"> 297.015 </td> <td style="text-align:right;"> 368.151 </td> <td style="text-align:right;"> 61.5 </td> <td style="text-align:right;"> 57.2 </td> <td style="text-align:right;"> 65.7 </td> <td style="text-align:right;"> 30.9 </td> <td style="text-align:right;"> 85.4 </td> <td style="text-align:right;"> 80.5 </td> <td style="text-align:right;"> 90.2 </td> <td style="text-align:right;"> -4163293681 </td> <td style="text-align:right;"> -6469682665 </td> <td style="text-align:right;"> 5767 </td> <td style="text-align:right;"> 6463 </td> <td style="text-align:right;"> 11025 </td> <td style="text-align:right;"> 7600 </td> <td style="text-align:right;"> 63244 </td> <td style="text-align:right;"> 32336 </td> <td style="text-align:right;"> 86835 </td> <td style="text-align:right;"> 60.9 </td> <td style="text-align:right;"> 48.4 </td> <td style="text-align:right;"> 47.8 </td> <td style="text-align:right;"> 48.3 </td> <td style="text-align:right;"> 5901996.0 </td> <td style="text-align:right;"> 47.67912 </td> <td style="text-align:right;"> 8.1 </td> <td style="text-align:right;"> 10.9 </td> <td style="text-align:right;"> 9.3 </td> <td style="text-align:right;"> 22.4 </td> <td style="text-align:right;"> 105.02 </td> <td style="text-align:right;"> 130 </td> <td style="text-align:right;"> 4.8073364 </td> <td style="text-align:right;"> 13.9 </td> <td style="text-align:right;"> 5.9 </td> <td style="text-align:right;"> 22.4 </td> <td style="text-align:right;"> 55.56947 </td> <td style="text-align:right;"> 42.03516 </td> <td style="text-align:right;"> 3.670000 </td> <td style="text-align:right;"> 3.16 </td> <td style="text-align:right;"> 3.430000 </td> <td style="text-align:right;"> 7.05 </td> <td style="text-align:right;"> 7.26 </td> <td style="text-align:right;"> 7.15 </td> </tr> <tr> <td style="text-align:left;"> Nepal </td> <td style="text-align:left;"> NPL </td> <td style="text-align:right;"> 9.56 </td> <td style="text-align:right;"> 9.4500000 </td> <td style="text-align:right;"> 11.4270636 </td> <td style="text-align:right;"> 2446630400 </td> <td style="text-align:right;"> 302705 </td> <td style="text-align:right;"> 1.1205058 </td> <td style="text-align:right;"> 846940 </td> <td style="text-align:right;"> 3.1350695 </td> <td style="text-align:right;"> 24.0362523 </td> <td style="text-align:right;"> 3.438336e+08 </td> <td style="text-align:right;"> 17.581618 </td> <td style="text-align:right;"> 70.931 </td> <td style="text-align:right;"> 68.114 </td> <td style="text-align:right;"> 69.51500 </td> <td style="text-align:right;"> 27516055 </td> <td style="text-align:right;"> 101.85461 </td> <td style="text-align:right;"> 16.3 </td> <td style="text-align:right;"> 21.5 </td> <td style="text-align:right;"> 19.5 </td> <td style="text-align:right;"> 23.6 </td> <td style="text-align:right;"> 1.6 </td> <td style="text-align:right;"> 0.9 </td> <td style="text-align:right;"> 2.3 </td> <td style="text-align:right;"> 133.892 </td> <td style="text-align:right;"> 175.316 </td> <td style="text-align:right;"> 29.7 </td> <td style="text-align:right;"> 27.1 </td> <td style="text-align:right;"> 32.1 </td> <td style="text-align:right;"> 22.4 </td> <td style="text-align:right;"> 36.2 </td> <td style="text-align:right;"> 33.8 </td> <td style="text-align:right;"> 38.5 </td> <td style="text-align:right;"> -5697555905 </td> <td style="text-align:right;"> -5467903519 </td> <td style="text-align:right;"> 2457 </td> <td style="text-align:right;"> 4098 </td> <td style="text-align:right;"> 3931 </td> <td style="text-align:right;"> 3018 </td> <td style="text-align:right;"> 16962 </td> <td style="text-align:right;"> 12827 </td> <td style="text-align:right;"> 20811 </td> <td style="text-align:right;"> 43.3 </td> <td style="text-align:right;"> 34.9 </td> <td style="text-align:right;"> 43.5 </td> <td style="text-align:right;"> 35.3 </td> <td style="text-align:right;"> 4335355.0 </td> <td style="text-align:right;"> 50.77584 </td> <td style="text-align:right;"> 3.8 </td> <td style="text-align:right;"> 6.1 </td> <td style="text-align:right;"> 5.1 </td> <td style="text-align:right;"> 7.5 </td> <td style="text-align:right;"> 538.47 </td> <td style="text-align:right;"> 147 </td> <td style="text-align:right;"> 5.4414152 </td> <td style="text-align:right;"> 8.5 </td> <td style="text-align:right;"> 2.7 </td> <td style="text-align:right;"> 15.4 </td> <td style="text-align:right;"> 76.41677 </td> <td style="text-align:right;"> 70.29200 </td> <td style="text-align:right;"> 2.880000 </td> <td style="text-align:right;"> 3.38 </td> <td style="text-align:right;"> 3.100000 </td> <td style="text-align:right;"> 4.18 </td> <td style="text-align:right;"> 5.80 </td> <td style="text-align:right;"> 4.91 </td> </tr> <tr> <td style="text-align:left;"> Netherlands </td> <td style="text-align:left;"> NLD </td> <td style="text-align:right;"> 49.67 </td> <td style="text-align:right;"> 13.9900000 </td> <td style="text-align:right;"> 6.3441363 </td> <td style="text-align:right;"> 48549451527 </td> <td style="text-align:right;"> 7029097 </td> <td style="text-align:right;"> 41.4977561 </td> <td style="text-align:right;"> 6951528 </td> <td style="text-align:right;"> 41.0398111 </td> <td style="text-align:right;"> 8.6783208 </td> <td style="text-align:right;"> 1.463685e+10 </td> <td style="text-align:right;"> 91.724138 </td> <td style="text-align:right;"> 83.200 </td> <td style="text-align:right;"> 79.900 </td> <td style="text-align:right;"> 81.50976 </td> <td style="text-align:right;"> 20809054 </td> <td style="text-align:right;"> 122.85064 </td> <td style="text-align:right;"> 3.8 </td> <td style="text-align:right;"> 11.2 </td> <td style="text-align:right;"> 9.7 </td> <td style="text-align:right;"> 12.7 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.0 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 49.464 </td> <td style="text-align:right;"> 66.691 </td> <td style="text-align:right;"> 3.4 </td> <td style="text-align:right;"> 3.1 </td> <td style="text-align:right;"> 3.8 </td> <td style="text-align:right;"> 2.6 </td> <td style="text-align:right;"> 4.0 </td> <td style="text-align:right;"> 3.6 </td> <td style="text-align:right;"> 4.4 </td> <td style="text-align:right;"> 72650745574 </td> <td style="text-align:right;"> 57713123634 </td> <td style="text-align:right;"> 89 </td> <td style="text-align:right;"> 201 </td> <td style="text-align:right;"> 296 </td> <td style="text-align:right;"> 68 </td> <td style="text-align:right;"> 600 </td> <td style="text-align:right;"> 457 </td> <td style="text-align:right;"> 708 </td> <td style="text-align:right;"> 11.8 </td> <td style="text-align:right;"> 11.4 </td> <td style="text-align:right;"> 16.5 </td> <td style="text-align:right;"> 11.5 </td> <td style="text-align:right;"> 1208038.0 </td> <td style="text-align:right;"> 48.61635 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 1.0 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 1.4 </td> <td style="text-align:right;"> 31141.82 </td> <td style="text-align:right;"> 164806 </td> <td style="text-align:right;"> 9728.8517781 </td> <td style="text-align:right;"> 11.8 </td> <td style="text-align:right;"> 7.9 </td> <td style="text-align:right;"> 15.7 </td> <td style="text-align:right;"> 92.32472 </td> <td style="text-align:right;"> 88.82413 </td> <td style="text-align:right;"> 7.280000 </td> <td style="text-align:right;"> 6.53 </td> <td style="text-align:right;"> 6.870000 </td> <td style="text-align:right;"> 11.17 </td> <td style="text-align:right;"> 11.33 </td> <td style="text-align:right;"> 11.25 </td> </tr> <tr> <td style="text-align:left;"> Niger </td> <td style="text-align:left;"> NER </td> <td style="text-align:right;"> 1.45 </td> <td style="text-align:right;"> 1.7100000 </td> <td style="text-align:right;"> -15.3446334 </td> <td style="text-align:right;"> -1486216431 </td> <td style="text-align:right;"> 27188 </td> <td style="text-align:right;"> 0.1359287 </td> <td style="text-align:right;"> 110000 </td> <td style="text-align:right;"> 0.5499543 </td> <td style="text-align:right;"> 51.5147637 </td> <td style="text-align:right;"> 1.193081e+08 </td> <td style="text-align:right;"> 2.476220 </td> <td style="text-align:right;"> 61.789 </td> <td style="text-align:right;"> 59.536 </td> <td style="text-align:right;"> 60.63100 </td> <td style="text-align:right;"> 8959000 </td> <td style="text-align:right;"> 44.79128 </td> <td style="text-align:right;"> 26.1 </td> <td style="text-align:right;"> 21.5 </td> <td style="text-align:right;"> 21.7 </td> <td style="text-align:right;"> 21.3 </td> <td style="text-align:right;"> 3.4 </td> <td style="text-align:right;"> 2.6 </td> <td style="text-align:right;"> 4.2 </td> <td style="text-align:right;"> 234.912 </td> <td style="text-align:right;"> 263.260 </td> <td style="text-align:right;"> 51.9 </td> <td style="text-align:right;"> 47.2 </td> <td style="text-align:right;"> 56.4 </td> <td style="text-align:right;"> 26.5 </td> <td style="text-align:right;"> 94.0 </td> <td style="text-align:right;"> 90.1 </td> <td style="text-align:right;"> 98.0 </td> <td style="text-align:right;"> -888693410 </td> <td style="text-align:right;"> -1630151760 </td> <td style="text-align:right;"> 8622 </td> <td style="text-align:right;"> 4936 </td> <td style="text-align:right;"> 5957 </td> <td style="text-align:right;"> 12073 </td> <td style="text-align:right;"> 48334 </td> <td style="text-align:right;"> 25253 </td> <td style="text-align:right;"> 84932 </td> <td style="text-align:right;"> 77.6 </td> <td style="text-align:right;"> 48.3 </td> <td style="text-align:right;"> 55.6 </td> <td style="text-align:right;"> 49.3 </td> <td style="text-align:right;"> 2444979.0 </td> <td style="text-align:right;"> 45.02198 </td> <td style="text-align:right;"> 16.1 </td> <td style="text-align:right;"> 11.6 </td> <td style="text-align:right;"> 18.2 </td> <td style="text-align:right;"> 17.8 </td> <td style="text-align:right;"> 57.39 </td> <td style="text-align:right;"> 6 </td> <td style="text-align:right;"> 0.2999751 </td> <td style="text-align:right;"> 5.4 </td> <td style="text-align:right;"> 3.4 </td> <td style="text-align:right;"> 7.4 </td> <td style="text-align:right;"> 62.37179 </td> <td style="text-align:right;"> 57.26644 </td> <td style="text-align:right;"> 0.420000 </td> <td style="text-align:right;"> 0.59 </td> <td style="text-align:right;"> 0.520000 </td> <td style="text-align:right;"> 0.41 </td> <td style="text-align:right;"> 0.84 </td> <td style="text-align:right;"> 0.66 </td> </tr> <tr> <td style="text-align:left;"> North Macedonia </td> <td style="text-align:left;"> MKD </td> <td style="text-align:right;"> 60.66 </td> <td style="text-align:right;"> 24.6900000 </td> <td style="text-align:right;"> -1.9133783 </td> <td style="text-align:right;"> -192572251 </td> <td style="text-align:right;"> 364421 </td> <td style="text-align:right;"> 17.5259026 </td> <td style="text-align:right;"> 371003 </td> <td style="text-align:right;"> 17.8424472 </td> <td style="text-align:right;"> 9.4266631 </td> <td style="text-align:right;"> 1.440850e+08 </td> <td style="text-align:right;"> 70.380203 </td> <td style="text-align:right;"> 77.459 </td> <td style="text-align:right;"> 73.397 </td> <td style="text-align:right;"> 75.40600 </td> <td style="text-align:right;"> 2083583 </td> <td style="text-align:right;"> 100.20463 </td> <td style="text-align:right;"> 7.4 </td> <td style="text-align:right;"> 24.5 </td> <td style="text-align:right;"> 18.9 </td> <td style="text-align:right;"> 30.0 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.8 </td> <td style="text-align:right;"> 67.936 </td> <td style="text-align:right;"> 126.458 </td> <td style="text-align:right;"> 11.4 </td> <td style="text-align:right;"> 10.5 </td> <td style="text-align:right;"> 12.2 </td> <td style="text-align:right;"> 9.6 </td> <td style="text-align:right;"> 13.0 </td> <td style="text-align:right;"> 11.9 </td> <td style="text-align:right;"> 14.0 </td> <td style="text-align:right;"> -2018118033 </td> <td style="text-align:right;"> -1631227768 </td> <td style="text-align:right;"> 19 </td> <td style="text-align:right;"> 38 </td> <td style="text-align:right;"> 55 </td> <td style="text-align:right;"> 14 </td> <td style="text-align:right;"> 264 </td> <td style="text-align:right;"> 223 </td> <td style="text-align:right;"> 301 </td> <td style="text-align:right;"> 24.3 </td> <td style="text-align:right;"> 17.7 </td> <td style="text-align:right;"> 26.3 </td> <td style="text-align:right;"> 17.9 </td> <td style="text-align:right;"> 108827.0 </td> <td style="text-align:right;"> 48.54494 </td> <td style="text-align:right;"> 0.8 </td> <td style="text-align:right;"> 1.4 </td> <td style="text-align:right;"> 0.6 </td> <td style="text-align:right;"> 1.8 </td> <td style="text-align:right;"> 548.28 </td> <td style="text-align:right;"> 239 </td> <td style="text-align:right;"> 114.9409809 </td> <td style="text-align:right;"> 9.2 </td> <td style="text-align:right;"> 4.7 </td> <td style="text-align:right;"> 13.7 </td> <td style="text-align:right;"> 87.91532 </td> <td style="text-align:right;"> 78.83665 </td> <td style="text-align:right;"> 25.059999 </td> <td style="text-align:right;"> 26.72 </td> <td style="text-align:right;"> 26.070000 </td> <td style="text-align:right;"> 43.32 </td> <td style="text-align:right;"> 49.68 </td> <td style="text-align:right;"> 47.31 </td> </tr> <tr> <td style="text-align:left;"> Norway </td> <td style="text-align:left;"> NOR </td> <td style="text-align:right;"> 45.81 </td> <td style="text-align:right;"> 7.7300000 </td> <td style="text-align:right;"> 8.0625851 </td> <td style="text-align:right;"> 31105578188 </td> <td style="text-align:right;"> 2050460 </td> <td style="text-align:right;"> 39.4331667 </td> <td style="text-align:right;"> 944510 </td> <td style="text-align:right;"> 18.1642267 </td> <td style="text-align:right;"> 5.2665510 </td> <td style="text-align:right;"> 2.193373e+09 </td> <td style="text-align:right;"> 96.810326 </td> <td style="text-align:right;"> 84.200 </td> <td style="text-align:right;"> 80.500 </td> <td style="text-align:right;"> 82.30488 </td> <td style="text-align:right;"> 5714890 </td> <td style="text-align:right;"> 109.90520 </td> <td style="text-align:right;"> 2.6 </td> <td style="text-align:right;"> 9.5 </td> <td style="text-align:right;"> 7.7 </td> <td style="text-align:right;"> 11.2 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 41.982 </td> <td style="text-align:right;"> 65.835 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 2.0 </td> <td style="text-align:right;"> 2.4 </td> <td style="text-align:right;"> 1.6 </td> <td style="text-align:right;"> 2.7 </td> <td style="text-align:right;"> 2.4 </td> <td style="text-align:right;"> 3.0 </td> <td style="text-align:right;"> 27485551207 </td> <td style="text-align:right;"> 21863652371 </td> <td style="text-align:right;"> 26 </td> <td style="text-align:right;"> 75 </td> <td style="text-align:right;"> 130 </td> <td style="text-align:right;"> 22 </td> <td style="text-align:right;"> 130 </td> <td style="text-align:right;"> 94 </td> <td style="text-align:right;"> 161 </td> <td style="text-align:right;"> 11.4 </td> <td style="text-align:right;"> 10.9 </td> <td style="text-align:right;"> 15.9 </td> <td style="text-align:right;"> 11.0 </td> <td style="text-align:right;"> 430864.0 </td> <td style="text-align:right;"> 48.84511 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 1.2 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 1.9 </td> <td style="text-align:right;"> 10529.70 </td> <td style="text-align:right;"> 21242 </td> <td style="text-align:right;"> 4093.9697302 </td> <td style="text-align:right;"> 12.5 </td> <td style="text-align:right;"> 8.7 </td> <td style="text-align:right;"> 16.2 </td> <td style="text-align:right;"> 92.69701 </td> <td style="text-align:right;"> 88.63198 </td> <td style="text-align:right;"> 4.000000 </td> <td style="text-align:right;"> 4.56 </td> <td style="text-align:right;"> 4.300000 </td> <td style="text-align:right;"> 8.57 </td> <td style="text-align:right;"> 11.12 </td> <td style="text-align:right;"> 9.87 </td> </tr> <tr> <td style="text-align:left;"> Oman </td> <td style="text-align:left;"> OMN </td> <td style="text-align:right;"> 34.12 </td> <td style="text-align:right;"> 16.3700000 </td> <td style="text-align:right;"> -16.0146964 </td> <td style="text-align:right;"> -10953998389 </td> <td style="text-align:right;"> 233234 </td> <td style="text-align:right;"> 5.4655491 </td> <td style="text-align:right;"> 434932 </td> <td style="text-align:right;"> 10.1920912 </td> <td style="text-align:right;"> 2.6161954 </td> <td style="text-align:right;"> 8.883225e+07 </td> <td style="text-align:right;"> 73.530000 </td> <td style="text-align:right;"> 79.401 </td> <td style="text-align:right;"> 75.133 </td> <td style="text-align:right;"> 76.88700 </td> <td style="text-align:right;"> 6646655 </td> <td style="text-align:right;"> 155.75610 </td> <td style="text-align:right;"> 16.3 </td> <td style="text-align:right;"> 23.8 </td> <td style="text-align:right;"> 22.2 </td> <td style="text-align:right;"> 25.5 </td> <td style="text-align:right;"> 1.0 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 1.5 </td> <td style="text-align:right;"> 68.919 </td> <td style="text-align:right;"> 109.456 </td> <td style="text-align:right;"> 9.6 </td> <td style="text-align:right;"> 8.6 </td> <td style="text-align:right;"> 10.6 </td> <td style="text-align:right;"> 5.2 </td> <td style="text-align:right;"> 11.2 </td> <td style="text-align:right;"> 10.1 </td> <td style="text-align:right;"> 12.3 </td> <td style="text-align:right;"> 9118590456 </td> <td style="text-align:right;"> 2299168049 </td> <td style="text-align:right;"> 61 </td> <td style="text-align:right;"> 129 </td> <td style="text-align:right;"> 258 </td> <td style="text-align:right;"> 76 </td> <td style="text-align:right;"> 820 </td> <td style="text-align:right;"> 448 </td> <td style="text-align:right;"> 940 </td> <td style="text-align:right;"> 38.3 </td> <td style="text-align:right;"> 28.7 </td> <td style="text-align:right;"> 30.9 </td> <td style="text-align:right;"> 28.8 </td> <td style="text-align:right;"> 350544.0 </td> <td style="text-align:right;"> 50.04650 </td> <td style="text-align:right;"> 1.3 </td> <td style="text-align:right;"> 2.7 </td> <td style="text-align:right;"> 1.3 </td> <td style="text-align:right;"> 3.3 </td> <td style="text-align:right;"> 754.13 </td> <td style="text-align:right;"> 497 </td> <td style="text-align:right;"> 116.4657769 </td> <td style="text-align:right;"> 5.0 </td> <td style="text-align:right;"> 1.2 </td> <td style="text-align:right;"> 7.1 </td> <td style="text-align:right;"> 87.52748 </td> <td style="text-align:right;"> 82.18155 </td> <td style="text-align:right;"> 12.330000 </td> <td style="text-align:right;"> 1.94 </td> <td style="text-align:right;"> 3.320000 </td> <td style="text-align:right;"> 30.90 </td> <td style="text-align:right;"> 11.13 </td> <td style="text-align:right;"> 14.28 </td> </tr> <tr> <td style="text-align:left;"> Pakistan </td> <td style="text-align:left;"> PAK </td> <td style="text-align:right;"> 8.45 </td> <td style="text-align:right;"> 9.6500000 </td> <td style="text-align:right;"> -1.0360142 </td> <td style="text-align:right;"> -2803000000 </td> <td style="text-align:right;"> 1793199 </td> <td style="text-align:right;"> 0.8991758 </td> <td style="text-align:right;"> 3537600 </td> <td style="text-align:right;"> 1.7738825 </td> <td style="text-align:right;"> 13.3796846 </td> <td style="text-align:right;"> 7.890000e+08 </td> <td style="text-align:right;"> 14.000000 </td> <td style="text-align:right;"> 67.543 </td> <td style="text-align:right;"> 65.684 </td> <td style="text-align:right;"> 66.57700 </td> <td style="text-align:right;"> 125899638 </td> <td style="text-align:right;"> 63.13070 </td> <td style="text-align:right;"> 13.5 </td> <td style="text-align:right;"> 30.7 </td> <td style="text-align:right;"> 27.7 </td> <td style="text-align:right;"> 33.4 </td> <td style="text-align:right;"> 1.7 </td> <td style="text-align:right;"> 1.7 </td> <td style="text-align:right;"> 1.7 </td> <td style="text-align:right;"> 141.739 </td> <td style="text-align:right;"> 178.543 </td> <td style="text-align:right;"> 62.1 </td> <td style="text-align:right;"> 56.5 </td> <td style="text-align:right;"> 67.5 </td> <td style="text-align:right;"> 45.2 </td> <td style="text-align:right;"> 76.1 </td> <td style="text-align:right;"> 71.3 </td> <td style="text-align:right;"> 80.6 </td> <td style="text-align:right;"> -17108000000 </td> <td style="text-align:right;"> -20018000000 </td> <td style="text-align:right;"> 18205 </td> <td style="text-align:right;"> 28339 </td> <td style="text-align:right;"> 22804 </td> <td style="text-align:right;"> 24149 </td> <td style="text-align:right;"> 355285 </td> <td style="text-align:right;"> 262925 </td> <td style="text-align:right;"> 432500 </td> <td style="text-align:right;"> 58.5 </td> <td style="text-align:right;"> 41.7 </td> <td style="text-align:right;"> 45.8 </td> <td style="text-align:right;"> 42.0 </td> <td style="text-align:right;"> 19846822.0 </td> <td style="text-align:right;"> 44.22964 </td> <td style="text-align:right;"> 4.1 </td> <td style="text-align:right;"> 6.7 </td> <td style="text-align:right;"> 5.1 </td> <td style="text-align:right;"> 5.8 </td> <td style="text-align:right;"> 8451.51 </td> <td style="text-align:right;"> 680 </td> <td style="text-align:right;"> 3.4097696 </td> <td style="text-align:right;"> 9.0 </td> <td style="text-align:right;"> 4.5 </td> <td style="text-align:right;"> 13.2 </td> <td style="text-align:right;"> 72.19197 </td> <td style="text-align:right;"> 67.88184 </td> <td style="text-align:right;"> 6.180000 </td> <td style="text-align:right;"> 2.83 </td> <td style="text-align:right;"> 3.570000 </td> <td style="text-align:right;"> 9.64 </td> <td style="text-align:right;"> 5.81 </td> <td style="text-align:right;"> 6.73 </td> </tr> <tr> <td style="text-align:left;"> Panama </td> <td style="text-align:left;"> PAN </td> <td style="text-align:right;"> 67.68 </td> <td style="text-align:right;"> 23.6100000 </td> <td style="text-align:right;"> -8.9632975 </td> <td style="text-align:right;"> -4848400000 </td> <td style="text-align:right;"> 316168 </td> <td style="text-align:right;"> 7.9669657 </td> <td style="text-align:right;"> 620436 </td> <td style="text-align:right;"> 15.6340691 </td> <td style="text-align:right;"> 2.4061354 </td> <td style="text-align:right;"> 2.855000e+08 </td> <td style="text-align:right;"> 51.205425 </td> <td style="text-align:right;"> 80.994 </td> <td style="text-align:right;"> 74.736 </td> <td style="text-align:right;"> 77.77600 </td> <td style="text-align:right;"> 5741929 </td> <td style="text-align:right;"> 144.68811 </td> <td style="text-align:right;"> 14.2 </td> <td style="text-align:right;"> 11.3 </td> <td style="text-align:right;"> 9.5 </td> <td style="text-align:right;"> 13.2 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.0 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 79.453 </td> <td style="text-align:right;"> 149.949 </td> <td style="text-align:right;"> 14.6 </td> <td style="text-align:right;"> 12.9 </td> <td style="text-align:right;"> 16.1 </td> <td style="text-align:right;"> 9.8 </td> <td style="text-align:right;"> 16.9 </td> <td style="text-align:right;"> 15.1 </td> <td style="text-align:right;"> 18.7 </td> <td style="text-align:right;"> -8333200000 </td> <td style="text-align:right;"> -1291500000 </td> <td style="text-align:right;"> 127 </td> <td style="text-align:right;"> 309 </td> <td style="text-align:right;"> 424 </td> <td style="text-align:right;"> 115 </td> <td style="text-align:right;"> 1144 </td> <td style="text-align:right;"> 773 </td> <td style="text-align:right;"> 1329 </td> <td style="text-align:right;"> 28.6 </td> <td style="text-align:right;"> 21.2 </td> <td style="text-align:right;"> 23.0 </td> <td style="text-align:right;"> 21.3 </td> <td style="text-align:right;"> 417556.0 </td> <td style="text-align:right;"> 48.31232 </td> <td style="text-align:right;"> 1.8 </td> <td style="text-align:right;"> 4.5 </td> <td style="text-align:right;"> 1.6 </td> <td style="text-align:right;"> 6.5 </td> <td style="text-align:right;"> 165.04 </td> <td style="text-align:right;"> 1217 </td> <td style="text-align:right;"> 306.6659913 </td> <td style="text-align:right;"> 2.9 </td> <td style="text-align:right;"> 1.1 </td> <td style="text-align:right;"> 4.7 </td> <td style="text-align:right;"> 86.92630 </td> <td style="text-align:right;"> 77.59325 </td> <td style="text-align:right;"> 3.930000 </td> <td style="text-align:right;"> 2.40 </td> <td style="text-align:right;"> 3.000000 </td> <td style="text-align:right;"> 11.89 </td> <td style="text-align:right;"> 6.02 </td> <td style="text-align:right;"> 8.06 </td> </tr> <tr> <td style="text-align:left;"> Peru </td> <td style="text-align:left;"> PER </td> <td style="text-align:right;"> 123.10 </td> <td style="text-align:right;"> 8.3700000 </td> <td style="text-align:right;"> -5.0187482 </td> <td style="text-align:right;"> -9525850109 </td> <td style="text-align:right;"> 1999459 </td> <td style="text-align:right;"> 6.5618997 </td> <td style="text-align:right;"> 2911495 </td> <td style="text-align:right;"> 9.5550537 </td> <td style="text-align:right;"> 2.4111172 </td> <td style="text-align:right;"> 1.436895e+08 </td> <td style="text-align:right;"> 40.852601 </td> <td style="text-align:right;"> 78.468 </td> <td style="text-align:right;"> 73.169 </td> <td style="text-align:right;"> 75.79200 </td> <td style="text-align:right;"> 34235810 </td> <td style="text-align:right;"> 112.35637 </td> <td style="text-align:right;"> 13.9 </td> <td style="text-align:right;"> 10.1 </td> <td style="text-align:right;"> 10.1 </td> <td style="text-align:right;"> 10.2 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 94.743 </td> <td style="text-align:right;"> 153.397 </td> <td style="text-align:right;"> 12.2 </td> <td style="text-align:right;"> 10.9 </td> <td style="text-align:right;"> 13.4 </td> <td style="text-align:right;"> 7.6 </td> <td style="text-align:right;"> 15.7 </td> <td style="text-align:right;"> 14.1 </td> <td style="text-align:right;"> 17.1 </td> <td style="text-align:right;"> -2547668172 </td> <td style="text-align:right;"> -4972798071 </td> <td style="text-align:right;"> 907 </td> <td style="text-align:right;"> 1404 </td> <td style="text-align:right;"> 2424 </td> <td style="text-align:right;"> 951 </td> <td style="text-align:right;"> 6919 </td> <td style="text-align:right;"> 4311 </td> <td style="text-align:right;"> 8957 </td> <td style="text-align:right;"> 32.8 </td> <td style="text-align:right;"> 19.7 </td> <td style="text-align:right;"> 27.4 </td> <td style="text-align:right;"> 20.1 </td> <td style="text-align:right;"> 3513439.0 </td> <td style="text-align:right;"> 48.97068 </td> <td style="text-align:right;"> 1.6 </td> <td style="text-align:right;"> 2.6 </td> <td style="text-align:right;"> 1.6 </td> <td style="text-align:right;"> 4.4 </td> <td style="text-align:right;"> 902.11 </td> <td style="text-align:right;"> 1412 </td> <td style="text-align:right;"> 46.3395467 </td> <td style="text-align:right;"> 2.7 </td> <td style="text-align:right;"> 1.5 </td> <td style="text-align:right;"> 4.0 </td> <td style="text-align:right;"> 85.47846 </td> <td style="text-align:right;"> 77.36889 </td> <td style="text-align:right;"> 2.930000 </td> <td style="text-align:right;"> 2.90 </td> <td style="text-align:right;"> 2.920000 </td> <td style="text-align:right;"> 6.13 </td> <td style="text-align:right;"> 6.40 </td> <td style="text-align:right;"> 6.28 </td> </tr> <tr> <td style="text-align:left;"> Philippines </td> <td style="text-align:left;"> PHL </td> <td style="text-align:right;"> 25.04 </td> <td style="text-align:right;"> 8.7600000 </td> <td style="text-align:right;"> 2.3709499 </td> <td style="text-align:right;"> 7265677954 </td> <td style="text-align:right;"> 2900000 </td> <td style="text-align:right;"> 2.8399851 </td> <td style="text-align:right;"> 3223787 </td> <td style="text-align:right;"> 3.1570714 </td> <td style="text-align:right;"> 11.9075928 </td> <td style="text-align:right;"> 3.460948e+09 </td> <td style="text-align:right;"> 36.000000 </td> <td style="text-align:right;"> 75.007 </td> <td style="text-align:right;"> 66.644 </td> <td style="text-align:right;"> 70.64400 </td> <td style="text-align:right;"> 117838074 </td> <td style="text-align:right;"> 115.39944 </td> <td style="text-align:right;"> 12.5 </td> <td style="text-align:right;"> 24.6 </td> <td style="text-align:right;"> 18.8 </td> <td style="text-align:right;"> 30.6 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 137.416 </td> <td style="text-align:right;"> 262.057 </td> <td style="text-align:right;"> 23.5 </td> <td style="text-align:right;"> 20.8 </td> <td style="text-align:right;"> 26.1 </td> <td style="text-align:right;"> 14.4 </td> <td style="text-align:right;"> 29.8 </td> <td style="text-align:right;"> 26.6 </td> <td style="text-align:right;"> 32.9 </td> <td style="text-align:right;"> -23309222498 </td> <td style="text-align:right;"> -17854385030 </td> <td style="text-align:right;"> 4524 </td> <td style="text-align:right;"> 7483 </td> <td style="text-align:right;"> 11361 </td> <td style="text-align:right;"> 4911 </td> <td style="text-align:right;"> 53448 </td> <td style="text-align:right;"> 32738 </td> <td style="text-align:right;"> 68285 </td> <td style="text-align:right;"> 17.9 </td> <td style="text-align:right;"> 13.7 </td> <td style="text-align:right;"> 29.9 </td> <td style="text-align:right;"> 14.5 </td> <td style="text-align:right;"> 14453060.0 </td> <td style="text-align:right;"> 47.77429 </td> <td style="text-align:right;"> 2.1 </td> <td style="text-align:right;"> 3.6 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 5.9 </td> <td style="text-align:right;"> 1401.65 </td> <td style="text-align:right;"> 2139 </td> <td style="text-align:right;"> 20.9473383 </td> <td style="text-align:right;"> 2.3 </td> <td style="text-align:right;"> 1.1 </td> <td style="text-align:right;"> 3.5 </td> <td style="text-align:right;"> 79.16096 </td> <td style="text-align:right;"> 64.37936 </td> <td style="text-align:right;"> 3.220000 </td> <td style="text-align:right;"> 2.97 </td> <td style="text-align:right;"> 3.070000 </td> <td style="text-align:right;"> 10.11 </td> <td style="text-align:right;"> 7.59 </td> <td style="text-align:right;"> 8.56 </td> </tr> <tr> <td style="text-align:left;"> Portugal </td> <td style="text-align:left;"> PRT </td> <td style="text-align:right;"> 173.42 </td> <td style="text-align:right;"> 35.5000000 </td> <td style="text-align:right;"> 0.2361312 </td> <td style="text-align:right;"> 470642360 </td> <td style="text-align:right;"> 3142188 </td> <td style="text-align:right;"> 30.3055712 </td> <td style="text-align:right;"> 4682997 </td> <td style="text-align:right;"> 45.1662661 </td> <td style="text-align:right;"> 4.8516120 </td> <td style="text-align:right;"> 1.340768e+09 </td> <td style="text-align:right;"> 68.632862 </td> <td style="text-align:right;"> 84.300 </td> <td style="text-align:right;"> 78.100 </td> <td style="text-align:right;"> 81.12439 </td> <td style="text-align:right;"> 11714693 </td> <td style="text-align:right;"> 112.98511 </td> <td style="text-align:right;"> 8.3 </td> <td style="text-align:right;"> 11.5 </td> <td style="text-align:right;"> 7.3 </td> <td style="text-align:right;"> 16.0 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 42.472 </td> <td style="text-align:right;"> 104.094 </td> <td style="text-align:right;"> 3.0 </td> <td style="text-align:right;"> 2.7 </td> <td style="text-align:right;"> 3.2 </td> <td style="text-align:right;"> 2.1 </td> <td style="text-align:right;"> 3.6 </td> <td style="text-align:right;"> 3.3 </td> <td style="text-align:right;"> 4.0 </td> <td style="text-align:right;"> -10802485226 </td> <td style="text-align:right;"> 2805581231 </td> <td style="text-align:right;"> 52 </td> <td style="text-align:right;"> 120 </td> <td style="text-align:right;"> 187 </td> <td style="text-align:right;"> 42 </td> <td style="text-align:right;"> 251 </td> <td style="text-align:right;"> 177 </td> <td style="text-align:right;"> 311 </td> <td style="text-align:right;"> 12.8 </td> <td style="text-align:right;"> 12.2 </td> <td style="text-align:right;"> 19.2 </td> <td style="text-align:right;"> 12.4 </td> <td style="text-align:right;"> 656727.0 </td> <td style="text-align:right;"> 47.87332 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 1.1 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 1.7 </td> <td style="text-align:right;"> 14691.23 </td> <td style="text-align:right;"> 9336 </td> <td style="text-align:right;"> 901.3256902 </td> <td style="text-align:right;"> 13.2 </td> <td style="text-align:right;"> 7.8 </td> <td style="text-align:right;"> 19.2 </td> <td style="text-align:right;"> 93.22125 </td> <td style="text-align:right;"> 84.30312 </td> <td style="text-align:right;"> 12.750000 </td> <td style="text-align:right;"> 12.16 </td> <td style="text-align:right;"> 12.440000 </td> <td style="text-align:right;"> 34.44 </td> <td style="text-align:right;"> 29.67 </td> <td style="text-align:right;"> 32.02 </td> </tr> <tr> <td style="text-align:left;"> Qatar </td> <td style="text-align:left;"> QAT </td> <td style="text-align:right;"> 57.86 </td> <td style="text-align:right;"> 10.5800000 </td> <td style="text-align:right;"> 8.5018103 </td> <td style="text-align:right;"> 13750824176 </td> <td style="text-align:right;"> 237774 </td> <td style="text-align:right;"> 9.2673763 </td> <td style="text-align:right;"> 459887 </td> <td style="text-align:right;"> 17.9243562 </td> <td style="text-align:right;"> 3.6161131 </td> <td style="text-align:right;"> 5.423077e+08 </td> <td style="text-align:right;"> 92.884827 </td> <td style="text-align:right;"> 81.477 </td> <td style="text-align:right;"> 78.558 </td> <td style="text-align:right;"> 79.75800 </td> <td style="text-align:right;"> 3740469 </td> <td style="text-align:right;"> 145.78690 </td> <td style="text-align:right;"> 11.1 </td> <td style="text-align:right;"> 11.7 </td> <td style="text-align:right;"> 14.5 </td> <td style="text-align:right;"> 10.8 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 46.913 </td> <td style="text-align:right;"> 65.626 </td> <td style="text-align:right;"> 6.7 </td> <td style="text-align:right;"> 6.2 </td> <td style="text-align:right;"> 7.2 </td> <td style="text-align:right;"> 4.0 </td> <td style="text-align:right;"> 7.8 </td> <td style="text-align:right;"> 7.2 </td> <td style="text-align:right;"> 8.4 </td> <td style="text-align:right;"> 48798076923 </td> <td style="text-align:right;"> 33019780220 </td> <td style="text-align:right;"> 17 </td> <td style="text-align:right;"> 47 </td> <td style="text-align:right;"> 100 </td> <td style="text-align:right;"> 20 </td> <td style="text-align:right;"> 167 </td> <td style="text-align:right;"> 100 </td> <td style="text-align:right;"> 193 </td> <td style="text-align:right;"> 26.0 </td> <td style="text-align:right;"> 27.2 </td> <td style="text-align:right;"> 26.6 </td> <td style="text-align:right;"> 27.2 </td> <td style="text-align:right;"> 130464.0 </td> <td style="text-align:right;"> 48.98133 </td> <td style="text-align:right;"> 0.9 </td> <td style="text-align:right;"> 2.3 </td> <td style="text-align:right;"> 0.9 </td> <td style="text-align:right;"> 1.9 </td> <td style="text-align:right;"> 1175.59 </td> <td style="text-align:right;"> 923 </td> <td style="text-align:right;"> 359.7444762 </td> <td style="text-align:right;"> 6.1 </td> <td style="text-align:right;"> 1.9 </td> <td style="text-align:right;"> 7.4 </td> <td style="text-align:right;"> 91.45536 </td> <td style="text-align:right;"> 92.04166 </td> <td style="text-align:right;"> 0.870000 </td> <td style="text-align:right;"> 0.06 </td> <td style="text-align:right;"> 0.170000 </td> <td style="text-align:right;"> 2.85 </td> <td style="text-align:right;"> 0.23 </td> <td style="text-align:right;"> 0.60 </td> </tr> <tr> <td style="text-align:left;"> Romania </td> <td style="text-align:left;"> ROU </td> <td style="text-align:right;"> 68.65 </td> <td style="text-align:right;"> 28.7200000 </td> <td style="text-align:right;"> -0.5712756 </td> <td style="text-align:right;"> -1015323529 </td> <td style="text-align:right;"> 4262132 </td> <td style="text-align:right;"> 21.3906879 </td> <td style="text-align:right;"> 4270000 </td> <td style="text-align:right;"> 21.4301756 </td> <td style="text-align:right;"> 15.6747139 </td> <td style="text-align:right;"> 2.986167e+09 </td> <td style="text-align:right;"> 55.763156 </td> <td style="text-align:right;"> 78.600 </td> <td style="text-align:right;"> 71.400 </td> <td style="text-align:right;"> 74.91220 </td> <td style="text-align:right;"> 23120000 </td> <td style="text-align:right;"> 116.03411 </td> <td style="text-align:right;"> 10.0 </td> <td style="text-align:right;"> 21.7 </td> <td style="text-align:right;"> 14.3 </td> <td style="text-align:right;"> 29.5 </td> <td style="text-align:right;"> 2.0 </td> <td style="text-align:right;"> 1.4 </td> <td style="text-align:right;"> 2.5 </td> <td style="text-align:right;"> 77.230 </td> <td style="text-align:right;"> 179.976 </td> <td style="text-align:right;"> 7.6 </td> <td style="text-align:right;"> 6.8 </td> <td style="text-align:right;"> 8.5 </td> <td style="text-align:right;"> 4.3 </td> <td style="text-align:right;"> 9.1 </td> <td style="text-align:right;"> 8.1 </td> <td style="text-align:right;"> 10.1 </td> <td style="text-align:right;"> -8625716936 </td> <td style="text-align:right;"> -1064124299 </td> <td style="text-align:right;"> 231 </td> <td style="text-align:right;"> 460 </td> <td style="text-align:right;"> 671 </td> <td style="text-align:right;"> 199 </td> <td style="text-align:right;"> 1500 </td> <td style="text-align:right;"> 839 </td> <td style="text-align:right;"> 1807 </td> <td style="text-align:right;"> 26.2 </td> <td style="text-align:right;"> 22.0 </td> <td style="text-align:right;"> 25.4 </td> <td style="text-align:right;"> 22.0 </td> <td style="text-align:right;"> 947205.0 </td> <td style="text-align:right;"> 48.27793 </td> <td style="text-align:right;"> 1.1 </td> <td style="text-align:right;"> 2.1 </td> <td style="text-align:right;"> 0.9 </td> <td style="text-align:right;"> 2.9 </td> <td style="text-align:right;"> 10917.79 </td> <td style="text-align:right;"> 7158 </td> <td style="text-align:right;"> 361.2302540 </td> <td style="text-align:right;"> 11.5 </td> <td style="text-align:right;"> 3.5 </td> <td style="text-align:right;"> 19.9 </td> <td style="text-align:right;"> 87.19327 </td> <td style="text-align:right;"> 72.06460 </td> <td style="text-align:right;"> 5.850000 </td> <td style="text-align:right;"> 7.54 </td> <td style="text-align:right;"> 6.810000 </td> <td style="text-align:right;"> 23.28 </td> <td style="text-align:right;"> 20.45 </td> <td style="text-align:right;"> 21.55 </td> </tr> <tr> <td style="text-align:left;"> Rwanda </td> <td style="text-align:left;"> RWA </td> <td style="text-align:right;"> 5.63 </td> <td style="text-align:right;"> 6.2200000 </td> <td style="text-align:right;"> -12.6812816 </td> <td style="text-align:right;"> -1083671486 </td> <td style="text-align:right;"> 21125 </td> <td style="text-align:right;"> 0.1858111 </td> <td style="text-align:right;"> 16983 </td> <td style="text-align:right;"> 0.1493790 </td> <td style="text-align:right;"> 2.8981900 </td> <td style="text-align:right;"> 2.222855e+07 </td> <td style="text-align:right;"> 18.000000 </td> <td style="text-align:right;"> 69.434 </td> <td style="text-align:right;"> 65.371 </td> <td style="text-align:right;"> 67.45000 </td> <td style="text-align:right;"> 8759619 </td> <td style="text-align:right;"> 77.04780 </td> <td style="text-align:right;"> 30.2 </td> <td style="text-align:right;"> 20.6 </td> <td style="text-align:right;"> 19.2 </td> <td style="text-align:right;"> 22.4 </td> <td style="text-align:right;"> 2.0 </td> <td style="text-align:right;"> 1.5 </td> <td style="text-align:right;"> 2.5 </td> <td style="text-align:right;"> 176.457 </td> <td style="text-align:right;"> 230.691 </td> <td style="text-align:right;"> 30.9 </td> <td style="text-align:right;"> 27.9 </td> <td style="text-align:right;"> 33.8 </td> <td style="text-align:right;"> 17.9 </td> <td style="text-align:right;"> 41.5 </td> <td style="text-align:right;"> 37.8 </td> <td style="text-align:right;"> 45.0 </td> <td style="text-align:right;"> -1236605594 </td> <td style="text-align:right;"> -1489712842 </td> <td style="text-align:right;"> 1491 </td> <td style="text-align:right;"> 1604 </td> <td style="text-align:right;"> 2067 </td> <td style="text-align:right;"> 1995 </td> <td style="text-align:right;"> 11346 </td> <td style="text-align:right;"> 6649 </td> <td style="text-align:right;"> 15091 </td> <td style="text-align:right;"> 36.5 </td> <td style="text-align:right;"> 17.3 </td> <td style="text-align:right;"> 23.1 </td> <td style="text-align:right;"> 17.8 </td> <td style="text-align:right;"> 2450705.0 </td> <td style="text-align:right;"> 50.46462 </td> <td style="text-align:right;"> 5.4 </td> <td style="text-align:right;"> 6.6 </td> <td style="text-align:right;"> 6.4 </td> <td style="text-align:right;"> 9.8 </td> <td style="text-align:right;"> 108.91 </td> <td style="text-align:right;"> 84 </td> <td style="text-align:right;"> 7.3884665 </td> <td style="text-align:right;"> 5.7 </td> <td style="text-align:right;"> 3.3 </td> <td style="text-align:right;"> 8.3 </td> <td style="text-align:right;"> 72.74760 </td> <td style="text-align:right;"> 64.75908 </td> <td style="text-align:right;"> 1.210000 </td> <td style="text-align:right;"> 1.07 </td> <td style="text-align:right;"> 1.140000 </td> <td style="text-align:right;"> 2.44 </td> <td style="text-align:right;"> 1.36 </td> <td style="text-align:right;"> 1.90 </td> </tr> <tr> <td style="text-align:left;"> Samoa </td> <td style="text-align:left;"> WSM </td> <td style="text-align:right;"> 42.24 </td> <td style="text-align:right;"> 21.9600000 </td> <td style="text-align:right;"> -1.6122773 </td> <td style="text-align:right;"> -12709701 </td> <td style="text-align:right;"> 2084 </td> <td style="text-align:right;"> 1.0769302 </td> <td style="text-align:right;"> 11453 </td> <td style="text-align:right;"> 5.9184654 </td> <td style="text-align:right;"> 6.2004878 </td> <td style="text-align:right;"> 1.225402e+07 </td> <td style="text-align:right;"> 25.407010 </td> <td style="text-align:right;"> 74.911 </td> <td style="text-align:right;"> 70.715 </td> <td style="text-align:right;"> 72.73000 </td> <td style="text-align:right;"> 120517 </td> <td style="text-align:right;"> 62.27850 </td> <td style="text-align:right;"> 11.4 </td> <td style="text-align:right;"> 31.8 </td> <td style="text-align:right;"> 29.8 </td> <td style="text-align:right;"> 33.8 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.7 </td> <td style="text-align:right;"> 82.900 </td> <td style="text-align:right;"> 140.998 </td> <td style="text-align:right;"> 14.5 </td> <td style="text-align:right;"> 13.0 </td> <td style="text-align:right;"> 15.9 </td> <td style="text-align:right;"> 9.3 </td> <td style="text-align:right;"> 16.9 </td> <td style="text-align:right;"> 15.2 </td> <td style="text-align:right;"> 18.5 </td> <td style="text-align:right;"> -263999993 </td> <td style="text-align:right;"> -140183984 </td> <td style="text-align:right;"> 8 </td> <td style="text-align:right;"> 15 </td> <td style="text-align:right;"> 16 </td> <td style="text-align:right;"> 10 </td> <td style="text-align:right;"> 71 </td> <td style="text-align:right;"> 45 </td> <td style="text-align:right;"> 83 </td> <td style="text-align:right;"> 42.0 </td> <td style="text-align:right;"> 24.0 </td> <td style="text-align:right;"> 40.3 </td> <td style="text-align:right;"> 25.1 </td> <td style="text-align:right;"> 31998.0 </td> <td style="text-align:right;"> 48.17489 </td> <td style="text-align:right;"> 1.8 </td> <td style="text-align:right;"> 3.9 </td> <td style="text-align:right;"> 2.0 </td> <td style="text-align:right;"> 5.1 </td> <td style="text-align:right;"> 11.17 </td> <td style="text-align:right;"> 25 </td> <td style="text-align:right;"> 129.1902870 </td> <td style="text-align:right;"> 12.7 </td> <td style="text-align:right;"> 6.7 </td> <td style="text-align:right;"> 18.2 </td> <td style="text-align:right;"> 84.57306 </td> <td style="text-align:right;"> 75.46146 </td> <td style="text-align:right;"> 10.290000 </td> <td style="text-align:right;"> 7.80 </td> <td style="text-align:right;"> 8.660000 </td> <td style="text-align:right;"> 23.21 </td> <td style="text-align:right;"> 15.39 </td> <td style="text-align:right;"> 18.35 </td> </tr> <tr> <td style="text-align:left;"> Sao Tome and Principe </td> <td style="text-align:left;"> STP </td> <td style="text-align:right;"> 25.66 </td> <td style="text-align:right;"> 30.0900000 </td> <td style="text-align:right;"> -21.7340255 </td> <td style="text-align:right;"> -68693728 </td> <td style="text-align:right;"> 1314 </td> <td style="text-align:right;"> 0.6588712 </td> <td style="text-align:right;"> 6441 </td> <td style="text-align:right;"> 3.2296723 </td> <td style="text-align:right;"> 2.3366458 </td> <td style="text-align:right;"> 1.838414e+06 </td> <td style="text-align:right;"> 25.820000 </td> <td style="text-align:right;"> 71.739 </td> <td style="text-align:right;"> 67.045 </td> <td style="text-align:right;"> 69.37700 </td> <td style="text-align:right;"> 184971 </td> <td style="text-align:right;"> 92.74891 </td> <td style="text-align:right;"> 27.1 </td> <td style="text-align:right;"> 21.1 </td> <td style="text-align:right;"> 20.8 </td> <td style="text-align:right;"> 21.5 </td> <td style="text-align:right;"> 0.7 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 1.3 </td> <td style="text-align:right;"> 163.648 </td> <td style="text-align:right;"> 219.524 </td> <td style="text-align:right;"> 26.8 </td> <td style="text-align:right;"> 23.6 </td> <td style="text-align:right;"> 29.7 </td> <td style="text-align:right;"> 15.7 </td> <td style="text-align:right;"> 34.7 </td> <td style="text-align:right;"> 31.1 </td> <td style="text-align:right;"> 38.1 </td> <td style="text-align:right;"> -107641422 </td> <td style="text-align:right;"> -96054957 </td> <td style="text-align:right;"> 18 </td> <td style="text-align:right;"> 28 </td> <td style="text-align:right;"> 41 </td> <td style="text-align:right;"> 21 </td> <td style="text-align:right;"> 175 </td> <td style="text-align:right;"> 103 </td> <td style="text-align:right;"> 226 </td> <td style="text-align:right;"> 64.8 </td> <td style="text-align:right;"> 44.4 </td> <td style="text-align:right;"> 51.8 </td> <td style="text-align:right;"> 45.0 </td> <td style="text-align:right;"> 35558.0 </td> <td style="text-align:right;"> 48.52354 </td> <td style="text-align:right;"> 3.4 </td> <td style="text-align:right;"> 6.9 </td> <td style="text-align:right;"> 3.6 </td> <td style="text-align:right;"> 12.3 </td> <td style="text-align:right;"> 1.42 </td> <td style="text-align:right;"> 3 </td> <td style="text-align:right;"> 15.0427213 </td> <td style="text-align:right;"> 1.5 </td> <td style="text-align:right;"> 0.8 </td> <td style="text-align:right;"> 2.1 </td> <td style="text-align:right;"> 77.64583 </td> <td style="text-align:right;"> 67.95446 </td> <td style="text-align:right;"> 21.290001 </td> <td style="text-align:right;"> 9.12 </td> <td style="text-align:right;"> 13.460000 </td> <td style="text-align:right;"> 33.09 </td> <td style="text-align:right;"> 15.33 </td> <td style="text-align:right;"> 20.76 </td> </tr> <tr> <td style="text-align:left;"> Saudi Arabia </td> <td style="text-align:left;"> SAU </td> <td style="text-align:right;"> 73.20 </td> <td style="text-align:right;"> 8.5500000 </td> <td style="text-align:right;"> -8.6697843 </td> <td style="text-align:right;"> -56723789494 </td> <td style="text-align:right;"> 6335557 </td> <td style="text-align:right;"> 19.9748519 </td> <td style="text-align:right;"> 3746906 </td> <td style="text-align:right;"> 11.8133090 </td> <td style="text-align:right;"> 1.7430041 </td> <td style="text-align:right;"> 2.522800e+08 </td> <td style="text-align:right;"> 69.616236 </td> <td style="text-align:right;"> 76.264 </td> <td style="text-align:right;"> 73.425 </td> <td style="text-align:right;"> 74.65100 </td> <td style="text-align:right;"> 52796066 </td> <td style="text-align:right;"> 166.45633 </td> <td style="text-align:right;"> 26.2 </td> <td style="text-align:right;"> 22.9 </td> <td style="text-align:right;"> 20.1 </td> <td style="text-align:right;"> 24.6 </td> <td style="text-align:right;"> 0.9 </td> <td style="text-align:right;"> 0.7 </td> <td style="text-align:right;"> 1.1 </td> <td style="text-align:right;"> 78.452 </td> <td style="text-align:right;"> 97.496 </td> <td style="text-align:right;"> 7.2 </td> <td style="text-align:right;"> 6.8 </td> <td style="text-align:right;"> 7.6 </td> <td style="text-align:right;"> 4.7 </td> <td style="text-align:right;"> 8.4 </td> <td style="text-align:right;"> 8.0 </td> <td style="text-align:right;"> 8.9 </td> <td style="text-align:right;"> 44265398933 </td> <td style="text-align:right;"> -29296857411 </td> <td style="text-align:right;"> 514 </td> <td style="text-align:right;"> 2371 </td> <td style="text-align:right;"> 2745 </td> <td style="text-align:right;"> 556 </td> <td style="text-align:right;"> 4419 </td> <td style="text-align:right;"> 2870 </td> <td style="text-align:right;"> 5163 </td> <td style="text-align:right;"> 37.8 </td> <td style="text-align:right;"> 26.0 </td> <td style="text-align:right;"> 27.0 </td> <td style="text-align:right;"> 26.0 </td> <td style="text-align:right;"> 3494490.0 </td> <td style="text-align:right;"> 50.03958 </td> <td style="text-align:right;"> 1.0 </td> <td style="text-align:right;"> 5.1 </td> <td style="text-align:right;"> 1.0 </td> <td style="text-align:right;"> 5.4 </td> <td style="text-align:right;"> 8949.36 </td> <td style="text-align:right;"> 2836 </td> <td style="text-align:right;"> 89.4138904 </td> <td style="text-align:right;"> 6.3 </td> <td style="text-align:right;"> 2.3 </td> <td style="text-align:right;"> 9.4 </td> <td style="text-align:right;"> 84.91192 </td> <td style="text-align:right;"> 81.01437 </td> <td style="text-align:right;"> 21.660000 </td> <td style="text-align:right;"> 2.47 </td> <td style="text-align:right;"> 5.590000 </td> <td style="text-align:right;"> 57.26 </td> <td style="text-align:right;"> 20.50 </td> <td style="text-align:right;"> 29.15 </td> </tr> <tr> <td style="text-align:left;"> Serbia </td> <td style="text-align:left;"> SRB </td> <td style="text-align:right;"> 45.47 </td> <td style="text-align:right;"> 29.5400000 </td> <td style="text-align:right;"> -3.4551518 </td> <td style="text-align:right;"> -1370173586 </td> <td style="text-align:right;"> 1320230 </td> <td style="text-align:right;"> 14.8728531 </td> <td style="text-align:right;"> 2770462 </td> <td style="text-align:right;"> 31.2102242 </td> <td style="text-align:right;"> 14.2894941 </td> <td style="text-align:right;"> 6.770930e+08 </td> <td style="text-align:right;"> 65.317025 </td> <td style="text-align:right;"> 77.900 </td> <td style="text-align:right;"> 72.800 </td> <td style="text-align:right;"> 75.28780 </td> <td style="text-align:right;"> 9155664 </td> <td style="text-align:right;"> 103.14176 </td> <td style="text-align:right;"> 6.7 </td> <td style="text-align:right;"> 22.2 </td> <td style="text-align:right;"> 16.0 </td> <td style="text-align:right;"> 28.5 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 78.192 </td> <td style="text-align:right;"> 150.464 </td> <td style="text-align:right;"> 5.5 </td> <td style="text-align:right;"> 4.9 </td> <td style="text-align:right;"> 6.0 </td> <td style="text-align:right;"> 4.0 </td> <td style="text-align:right;"> 6.3 </td> <td style="text-align:right;"> 5.6 </td> <td style="text-align:right;"> 6.9 </td> <td style="text-align:right;"> -4042025310 </td> <td style="text-align:right;"> -3234473621 </td> <td style="text-align:right;"> 75 </td> <td style="text-align:right;"> 165 </td> <td style="text-align:right;"> 260 </td> <td style="text-align:right;"> 54 </td> <td style="text-align:right;"> 468 </td> <td style="text-align:right;"> 337 </td> <td style="text-align:right;"> 541 </td> <td style="text-align:right;"> 25.8 </td> <td style="text-align:right;"> 21.9 </td> <td style="text-align:right;"> 24.8 </td> <td style="text-align:right;"> 22.0 </td> <td style="text-align:right;"> 279220.0 </td> <td style="text-align:right;"> 48.57747 </td> <td style="text-align:right;"> 0.7 </td> <td style="text-align:right;"> 1.6 </td> <td style="text-align:right;"> 0.6 </td> <td style="text-align:right;"> 2.3 </td> <td style="text-align:right;"> 4872.66 </td> <td style="text-align:right;"> 1001 </td> <td style="text-align:right;"> 141.0776557 </td> <td style="text-align:right;"> 16.4 </td> <td style="text-align:right;"> 8.5 </td> <td style="text-align:right;"> 24.6 </td> <td style="text-align:right;"> 87.15195 </td> <td style="text-align:right;"> 75.91214 </td> <td style="text-align:right;"> 18.760000 </td> <td style="text-align:right;"> 16.81 </td> <td style="text-align:right;"> 17.660000 </td> <td style="text-align:right;"> 47.68 </td> <td style="text-align:right;"> 39.52 </td> <td style="text-align:right;"> 42.57 </td> </tr> <tr> <td style="text-align:left;"> Slovak Republic </td> <td style="text-align:left;"> SVK </td> <td style="text-align:right;"> 59.51 </td> <td style="text-align:right;"> 28.2600000 </td> <td style="text-align:right;"> -2.0903590 </td> <td style="text-align:right;"> -1849289470 </td> <td style="text-align:right;"> 1273812 </td> <td style="text-align:right;"> 23.4345688 </td> <td style="text-align:right;"> 866630 </td> <td style="text-align:right;"> 15.9435618 </td> <td style="text-align:right;"> 10.4923673 </td> <td style="text-align:right;"> 8.521966e+08 </td> <td style="text-align:right;"> 77.634682 </td> <td style="text-align:right;"> 80.200 </td> <td style="text-align:right;"> 73.100 </td> <td style="text-align:right;"> 76.56341 </td> <td style="text-align:right;"> 6675553 </td> <td style="text-align:right;"> 122.81146 </td> <td style="text-align:right;"> 6.4 </td> <td style="text-align:right;"> 17.5 </td> <td style="text-align:right;"> 11.5 </td> <td style="text-align:right;"> 24.1 </td> <td style="text-align:right;"> 0.6 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.8 </td> <td style="text-align:right;"> 64.859 </td> <td style="text-align:right;"> 156.171 </td> <td style="text-align:right;"> 5.1 </td> <td style="text-align:right;"> 4.6 </td> <td style="text-align:right;"> 5.6 </td> <td style="text-align:right;"> 3.1 </td> <td style="text-align:right;"> 6.2 </td> <td style="text-align:right;"> 5.6 </td> <td style="text-align:right;"> 6.8 </td> <td style="text-align:right;"> 890199036 </td> <td style="text-align:right;"> 1034342372 </td> <td style="text-align:right;"> 39 </td> <td style="text-align:right;"> 104 </td> <td style="text-align:right;"> 188 </td> <td style="text-align:right;"> 39 </td> <td style="text-align:right;"> 291 </td> <td style="text-align:right;"> 175 </td> <td style="text-align:right;"> 355 </td> <td style="text-align:right;"> 25.4 </td> <td style="text-align:right;"> 22.8 </td> <td style="text-align:right;"> 24.3 </td> <td style="text-align:right;"> 22.9 </td> <td style="text-align:right;"> 216266.0 </td> <td style="text-align:right;"> 48.58924 </td> <td style="text-align:right;"> 0.7 </td> <td style="text-align:right;"> 1.8 </td> <td style="text-align:right;"> 0.7 </td> <td style="text-align:right;"> 2.6 </td> <td style="text-align:right;"> 5062.13 </td> <td style="text-align:right;"> 5795 </td> <td style="text-align:right;"> 1068.4389047 </td> <td style="text-align:right;"> 12.4 </td> <td style="text-align:right;"> 3.4 </td> <td style="text-align:right;"> 21.9 </td> <td style="text-align:right;"> 89.36591 </td> <td style="text-align:right;"> 75.71749 </td> <td style="text-align:right;"> 12.890000 </td> <td style="text-align:right;"> 10.32 </td> <td style="text-align:right;"> 11.479999 </td> <td style="text-align:right;"> 27.57 </td> <td style="text-align:right;"> 25.82 </td> <td style="text-align:right;"> 26.49 </td> </tr> <tr> <td style="text-align:left;"> Slovenia </td> <td style="text-align:left;"> SVN </td> <td style="text-align:right;"> 95.98 </td> <td style="text-align:right;"> 31.1800000 </td> <td style="text-align:right;"> 3.8205727 </td> <td style="text-align:right;"> 1646291413 </td> <td style="text-align:right;"> 569026 </td> <td style="text-align:right;"> 27.4732655 </td> <td style="text-align:right;"> 753082 </td> <td style="text-align:right;"> 36.3597124 </td> <td style="text-align:right;"> 8.7098901 </td> <td style="text-align:right;"> 5.749430e+08 </td> <td style="text-align:right;"> 73.098660 </td> <td style="text-align:right;"> 83.900 </td> <td style="text-align:right;"> 77.800 </td> <td style="text-align:right;"> 80.77561 </td> <td style="text-align:right;"> 2353926 </td> <td style="text-align:right;"> 113.65040 </td> <td style="text-align:right;"> 6.0 </td> <td style="text-align:right;"> 12.8 </td> <td style="text-align:right;"> 9.0 </td> <td style="text-align:right;"> 16.5 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.6 </td> <td style="text-align:right;"> 45.527 </td> <td style="text-align:right;"> 101.185 </td> <td style="text-align:right;"> 2.0 </td> <td style="text-align:right;"> 1.9 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 1.4 </td> <td style="text-align:right;"> 2.5 </td> <td style="text-align:right;"> 2.3 </td> <td style="text-align:right;"> 2.7 </td> <td style="text-align:right;"> 1637919775 </td> <td style="text-align:right;"> 3463352515 </td> <td style="text-align:right;"> 8 </td> <td style="text-align:right;"> 27 </td> <td style="text-align:right;"> 47 </td> <td style="text-align:right;"> 8 </td> <td style="text-align:right;"> 43 </td> <td style="text-align:right;"> 29 </td> <td style="text-align:right;"> 53 </td> <td style="text-align:right;"> 26.2 </td> <td style="text-align:right;"> 20.6 </td> <td style="text-align:right;"> 22.5 </td> <td style="text-align:right;"> 20.6 </td> <td style="text-align:right;"> 115560.0 </td> <td style="text-align:right;"> 48.64486 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 1.4 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 3557.71 </td> <td style="text-align:right;"> 4517 </td> <td style="text-align:right;"> 2188.9663882 </td> <td style="text-align:right;"> 21.0 </td> <td style="text-align:right;"> 8.9 </td> <td style="text-align:right;"> 33.3 </td> <td style="text-align:right;"> 92.35928 </td> <td style="text-align:right;"> 84.33316 </td> <td style="text-align:right;"> 10.040000 </td> <td style="text-align:right;"> 8.05 </td> <td style="text-align:right;"> 8.960000 </td> <td style="text-align:right;"> 14.56 </td> <td style="text-align:right;"> 17.62 </td> <td style="text-align:right;"> 16.30 </td> </tr> <tr> <td style="text-align:left;"> Solomon Islands </td> <td style="text-align:left;"> SLB </td> <td style="text-align:right;"> 11.41 </td> <td style="text-align:right;"> 3.9000000 </td> <td style="text-align:right;"> -2.7598481 </td> <td style="text-align:right;"> -36072913 </td> <td style="text-align:right;"> 1420 </td> <td style="text-align:right;"> 0.2354431 </td> <td style="text-align:right;"> 7438 </td> <td style="text-align:right;"> 1.2332578 </td> <td style="text-align:right;"> 4.2433136 </td> <td style="text-align:right;"> 4.465112e+06 </td> <td style="text-align:right;"> 10.000465 </td> <td style="text-align:right;"> 74.043 </td> <td style="text-align:right;"> 70.536 </td> <td style="text-align:right;"> 72.17300 </td> <td style="text-align:right;"> 424712 </td> <td style="text-align:right;"> 70.41939 </td> <td style="text-align:right;"> 16.9 </td> <td style="text-align:right;"> 40.0 </td> <td style="text-align:right;"> 34.8 </td> <td style="text-align:right;"> 44.7 </td> <td style="text-align:right;"> 1.9 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 3.7 </td> <td style="text-align:right;"> 128.827 </td> <td style="text-align:right;"> 167.347 </td> <td style="text-align:right;"> 19.0 </td> <td style="text-align:right;"> 17.1 </td> <td style="text-align:right;"> 20.7 </td> <td style="text-align:right;"> 9.4 </td> <td style="text-align:right;"> 22.3 </td> <td style="text-align:right;"> 20.1 </td> <td style="text-align:right;"> 24.3 </td> <td style="text-align:right;"> -16767694 </td> <td style="text-align:right;"> -94369031 </td> <td style="text-align:right;"> 32 </td> <td style="text-align:right;"> 58 </td> <td style="text-align:right;"> 62 </td> <td style="text-align:right;"> 41 </td> <td style="text-align:right;"> 380 </td> <td style="text-align:right;"> 189 </td> <td style="text-align:right;"> 443 </td> <td style="text-align:right;"> 43.0 </td> <td style="text-align:right;"> 36.9 </td> <td style="text-align:right;"> 50.1 </td> <td style="text-align:right;"> 38.0 </td> <td style="text-align:right;"> 104236.0 </td> <td style="text-align:right;"> 48.14172 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 4.6 </td> <td style="text-align:right;"> 2.6 </td> <td style="text-align:right;"> 5.9 </td> <td style="text-align:right;"> 13.70 </td> <td style="text-align:right;"> 13 </td> <td style="text-align:right;"> 21.5546543 </td> <td style="text-align:right;"> 15.2 </td> <td style="text-align:right;"> 1.9 </td> <td style="text-align:right;"> 28.0 </td> <td style="text-align:right;"> 79.17063 </td> <td style="text-align:right;"> 72.81816 </td> <td style="text-align:right;"> 0.690000 </td> <td style="text-align:right;"> 0.65 </td> <td style="text-align:right;"> 0.670000 </td> <td style="text-align:right;"> 1.48 </td> <td style="text-align:right;"> 0.97 </td> <td style="text-align:right;"> 1.22 </td> </tr> <tr> <td style="text-align:left;"> South Africa </td> <td style="text-align:left;"> ZAF </td> <td style="text-align:right;"> 68.79 </td> <td style="text-align:right;"> 10.4200000 </td> <td style="text-align:right;"> -4.5865581 </td> <td style="text-align:right;"> -14567849818 </td> <td style="text-align:right;"> 1409347 </td> <td style="text-align:right;"> 2.5445738 </td> <td style="text-align:right;"> 4131055 </td> <td style="text-align:right;"> 7.4586134 </td> <td style="text-align:right;"> 3.7989642 </td> <td style="text-align:right;"> 5.717379e+08 </td> <td style="text-align:right;"> 51.919116 </td> <td style="text-align:right;"> 66.108 </td> <td style="text-align:right;"> 59.342 </td> <td style="text-align:right;"> 62.64900 </td> <td style="text-align:right;"> 87999492 </td> <td style="text-align:right;"> 158.88295 </td> <td style="text-align:right;"> 24.1 </td> <td style="text-align:right;"> 28.8 </td> <td style="text-align:right;"> 24.7 </td> <td style="text-align:right;"> 33.6 </td> <td style="text-align:right;"> 1.9 </td> <td style="text-align:right;"> 1.7 </td> <td style="text-align:right;"> 2.1 </td> <td style="text-align:right;"> 289.031 </td> <td style="text-align:right;"> 413.754 </td> <td style="text-align:right;"> 28.5 </td> <td style="text-align:right;"> 26.0 </td> <td style="text-align:right;"> 30.9 </td> <td style="text-align:right;"> 11.0 </td> <td style="text-align:right;"> 37.1 </td> <td style="text-align:right;"> 34.0 </td> <td style="text-align:right;"> 40.0 </td> <td style="text-align:right;"> -3639581058 </td> <td style="text-align:right;"> -4120680430 </td> <td style="text-align:right;"> 3562 </td> <td style="text-align:right;"> 7545 </td> <td style="text-align:right;"> 15200 </td> <td style="text-align:right;"> 3945 </td> <td style="text-align:right;"> 34130 </td> <td style="text-align:right;"> 13267 </td> <td style="text-align:right;"> 44427 </td> <td style="text-align:right;"> 36.7 </td> <td style="text-align:right;"> 28.8 </td> <td style="text-align:right;"> 29.9 </td> <td style="text-align:right;"> 28.9 </td> <td style="text-align:right;"> 7555842.0 </td> <td style="text-align:right;"> 47.82259 </td> <td style="text-align:right;"> 3.6 </td> <td style="text-align:right;"> 7.7 </td> <td style="text-align:right;"> 3.6 </td> <td style="text-align:right;"> 14.6 </td> <td style="text-align:right;"> 10964.38 </td> <td style="text-align:right;"> 15107 </td> <td style="text-align:right;"> 272.7566416 </td> <td style="text-align:right;"> 24.5 </td> <td style="text-align:right;"> 9.9 </td> <td style="text-align:right;"> 39.5 </td> <td style="text-align:right;"> 63.49178 </td> <td style="text-align:right;"> 47.64294 </td> <td style="text-align:right;"> 27.540001 </td> <td style="text-align:right;"> 23.21 </td> <td style="text-align:right;"> 25.150000 </td> <td style="text-align:right;"> 55.06 </td> <td style="text-align:right;"> 46.52 </td> <td style="text-align:right;"> 50.31 </td> </tr> <tr> <td style="text-align:left;"> South Sudan </td> <td style="text-align:left;"> SSD </td> <td style="text-align:right;"> 1.05 </td> <td style="text-align:right;"> 1.6200000 </td> <td style="text-align:right;"> -4.1690141 </td> <td style="text-align:right;"> -500190000 </td> <td style="text-align:right;"> 150 </td> <td style="text-align:right;"> 0.0013998 </td> <td style="text-align:right;"> 0 </td> <td style="text-align:right;"> 0.0000000 </td> <td style="text-align:right;"> 2.7032991 </td> <td style="text-align:right;"> 2.450000e+06 </td> <td style="text-align:right;"> 5.500000 </td> <td style="text-align:right;"> 58.362 </td> <td style="text-align:right;"> 55.386 </td> <td style="text-align:right;"> 56.85500 </td> <td style="text-align:right;"> 2899000 </td> <td style="text-align:right;"> 27.05387 </td> <td style="text-align:right;"> 33.1 </td> <td style="text-align:right;"> 16.2 </td> <td style="text-align:right;"> 15.7 </td> <td style="text-align:right;"> 16.8 </td> <td style="text-align:right;"> 2.0 </td> <td style="text-align:right;"> 1.8 </td> <td style="text-align:right;"> 2.3 </td> <td style="text-align:right;"> 314.086 </td> <td style="text-align:right;"> 340.188 </td> <td style="text-align:right;"> 62.4 </td> <td style="text-align:right;"> 57.0 </td> <td style="text-align:right;"> 67.1 </td> <td style="text-align:right;"> 38.9 </td> <td style="text-align:right;"> 96.2 </td> <td style="text-align:right;"> 91.2 </td> <td style="text-align:right;"> 100.4 </td> <td style="text-align:right;"> 185240000 </td> <td style="text-align:right;"> -776950000 </td> <td style="text-align:right;"> 1996 </td> <td style="text-align:right;"> 3945 </td> <td style="text-align:right;"> 5187 </td> <td style="text-align:right;"> 4155 </td> <td style="text-align:right;"> 23545 </td> <td style="text-align:right;"> 14883 </td> <td style="text-align:right;"> 36075 </td> <td style="text-align:right;"> 58.6 </td> <td style="text-align:right;"> 34.3 </td> <td style="text-align:right;"> 40.3 </td> <td style="text-align:right;"> 34.8 </td> <td style="text-align:right;"> 1273852.0 </td> <td style="text-align:right;"> 40.87908 </td> <td style="text-align:right;"> 7.5 </td> <td style="text-align:right;"> 16.7 </td> <td style="text-align:right;"> 13.6 </td> <td style="text-align:right;"> 25.6 </td> <td style="text-align:right;"> 5.51 </td> <td style="text-align:right;"> 0 </td> <td style="text-align:right;"> 0.0000000 </td> <td style="text-align:right;"> 3.6 </td> <td style="text-align:right;"> 2.0 </td> <td style="text-align:right;"> 5.2 </td> <td style="text-align:right;"> 54.21365 </td> <td style="text-align:right;"> 48.01130 </td> <td style="text-align:right;"> 13.710000 </td> <td style="text-align:right;"> 11.23 </td> <td style="text-align:right;"> 12.450000 </td> <td style="text-align:right;"> 17.83 </td> <td style="text-align:right;"> 20.38 </td> <td style="text-align:right;"> 19.07 </td> </tr> <tr> <td style="text-align:left;"> Spain </td> <td style="text-align:left;"> ESP </td> <td style="text-align:right;"> 116.78 </td> <td style="text-align:right;"> 67.5100000 </td> <td style="text-align:right;"> 2.0171775 </td> <td style="text-align:right;"> 24107676878 </td> <td style="text-align:right;"> 13542906 </td> <td style="text-align:right;"> 29.0172426 </td> <td style="text-align:right;"> 19373709 </td> <td style="text-align:right;"> 41.5104125 </td> <td style="text-align:right;"> 8.9236902 </td> <td style="text-align:right;"> 1.083779e+10 </td> <td style="text-align:right;"> 78.689632 </td> <td style="text-align:right;"> 85.700 </td> <td style="text-align:right;"> 80.100 </td> <td style="text-align:right;"> 82.83171 </td> <td style="text-align:right;"> 51067770 </td> <td style="text-align:right;"> 109.41860 </td> <td style="text-align:right;"> 4.2 </td> <td style="text-align:right;"> 10.3 </td> <td style="text-align:right;"> 6.6 </td> <td style="text-align:right;"> 14.0 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 38.807 </td> <td style="text-align:right;"> 76.998 </td> <td style="text-align:right;"> 2.7 </td> <td style="text-align:right;"> 2.5 </td> <td style="text-align:right;"> 3.0 </td> <td style="text-align:right;"> 1.9 </td> <td style="text-align:right;"> 3.3 </td> <td style="text-align:right;"> 3.0 </td> <td style="text-align:right;"> 3.6 </td> <td style="text-align:right;"> -22938972889 </td> <td style="text-align:right;"> 36329793200 </td> <td style="text-align:right;"> 196 </td> <td style="text-align:right;"> 389 </td> <td style="text-align:right;"> 599 </td> <td style="text-align:right;"> 193 </td> <td style="text-align:right;"> 1172 </td> <td style="text-align:right;"> 815 </td> <td style="text-align:right;"> 1431 </td> <td style="text-align:right;"> 12.4 </td> <td style="text-align:right;"> 12.2 </td> <td style="text-align:right;"> 18.8 </td> <td style="text-align:right;"> 12.4 </td> <td style="text-align:right;"> 3010404.0 </td> <td style="text-align:right;"> 48.82664 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 0.9 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 1.3 </td> <td style="text-align:right;"> 55147.04 </td> <td style="text-align:right;"> 41316 </td> <td style="text-align:right;"> 889.5715243 </td> <td style="text-align:right;"> 7.9 </td> <td style="text-align:right;"> 4.1 </td> <td style="text-align:right;"> 11.8 </td> <td style="text-align:right;"> 94.09478 </td> <td style="text-align:right;"> 87.58822 </td> <td style="text-align:right;"> 23.549999 </td> <td style="text-align:right;"> 20.78 </td> <td style="text-align:right;"> 22.059999 </td> <td style="text-align:right;"> 47.96 </td> <td style="text-align:right;"> 48.62 </td> <td style="text-align:right;"> 48.32 </td> </tr> <tr> <td style="text-align:left;"> Sri Lanka </td> <td style="text-align:left;"> LKA </td> <td style="text-align:right;"> 17.20 </td> <td style="text-align:right;"> 18.6300000 </td> <td style="text-align:right;"> -2.3358297 </td> <td style="text-align:right;"> -1882774084 </td> <td style="text-align:right;"> 625917 </td> <td style="text-align:right;"> 2.9936684 </td> <td style="text-align:right;"> 3287676 </td> <td style="text-align:right;"> 15.7244679 </td> <td style="text-align:right;"> 12.5825294 </td> <td style="text-align:right;"> 8.048620e+08 </td> <td style="text-align:right;"> 12.100000 </td> <td style="text-align:right;"> 79.689 </td> <td style="text-align:right;"> 72.887 </td> <td style="text-align:right;"> 76.31600 </td> <td style="text-align:right;"> 23899642 </td> <td style="text-align:right;"> 114.30845 </td> <td style="text-align:right;"> 13.9 </td> <td style="text-align:right;"> 14.6 </td> <td style="text-align:right;"> 10.4 </td> <td style="text-align:right;"> 19.2 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.8 </td> <td style="text-align:right;"> 59.541 </td> <td style="text-align:right;"> 158.818 </td> <td style="text-align:right;"> 7.5 </td> <td style="text-align:right;"> 6.7 </td> <td style="text-align:right;"> 8.2 </td> <td style="text-align:right;"> 5.2 </td> <td style="text-align:right;"> 8.7 </td> <td style="text-align:right;"> 7.9 </td> <td style="text-align:right;"> 9.6 </td> <td style="text-align:right;"> -8388097664 </td> <td style="text-align:right;"> -6063314670 </td> <td style="text-align:right;"> 413 </td> <td style="text-align:right;"> 688 </td> <td style="text-align:right;"> 993 </td> <td style="text-align:right;"> 365 </td> <td style="text-align:right;"> 2605 </td> <td style="text-align:right;"> 1822 </td> <td style="text-align:right;"> 3051 </td> <td style="text-align:right;"> 25.3 </td> <td style="text-align:right;"> 33.8 </td> <td style="text-align:right;"> 33.8 </td> <td style="text-align:right;"> 33.8 </td> <td style="text-align:right;"> 1778176.0 </td> <td style="text-align:right;"> 49.17899 </td> <td style="text-align:right;"> 1.2 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 1.0 </td> <td style="text-align:right;"> 3.2 </td> <td style="text-align:right;"> 746.51 </td> <td style="text-align:right;"> 439 </td> <td style="text-align:right;"> 20.9346686 </td> <td style="text-align:right;"> 15.1 </td> <td style="text-align:right;"> 6.7 </td> <td style="text-align:right;"> 24.2 </td> <td style="text-align:right;"> 90.01167 </td> <td style="text-align:right;"> 76.87735 </td> <td style="text-align:right;"> 7.450000 </td> <td style="text-align:right;"> 2.99 </td> <td style="text-align:right;"> 4.520000 </td> <td style="text-align:right;"> 25.80 </td> <td style="text-align:right;"> 15.54 </td> <td style="text-align:right;"> 19.26 </td> </tr> <tr> <td style="text-align:left;"> St. Lucia </td> <td style="text-align:left;"> LCA </td> <td style="text-align:right;"> 43.83 </td> <td style="text-align:right;"> 19.4800000 </td> <td style="text-align:right;"> 2.0766048 </td> <td style="text-align:right;"> 37546674 </td> <td style="text-align:right;"> 28426 </td> <td style="text-align:right;"> 15.8692764 </td> <td style="text-align:right;"> 34874 </td> <td style="text-align:right;"> 19.4689771 </td> <td style="text-align:right;"> 1.3546957 </td> <td style="text-align:right;"> 1.174877e+07 </td> <td style="text-align:right;"> 42.530930 </td> <td style="text-align:right;"> 76.977 </td> <td style="text-align:right;"> 74.282 </td> <td style="text-align:right;"> 75.59600 </td> <td style="text-align:right;"> 187741 </td> <td style="text-align:right;"> 104.80946 </td> <td style="text-align:right;"> 19.0 </td> <td style="text-align:right;"> 17.3 </td> <td style="text-align:right;"> 14.1 </td> <td style="text-align:right;"> 20.5 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 107.804 </td> <td style="text-align:right;"> 164.983 </td> <td style="text-align:right;"> 18.6 </td> <td style="text-align:right;"> 16.9 </td> <td style="text-align:right;"> 20.3 </td> <td style="text-align:right;"> 12.6 </td> <td style="text-align:right;"> 21.0 </td> <td style="text-align:right;"> 19.0 </td> <td style="text-align:right;"> 22.8 </td> <td style="text-align:right;"> -349360517 </td> <td style="text-align:right;"> 182948295 </td> <td style="text-align:right;"> 4 </td> <td style="text-align:right;"> 12 </td> <td style="text-align:right;"> 18 </td> <td style="text-align:right;"> 4 </td> <td style="text-align:right;"> 41 </td> <td style="text-align:right;"> 28 </td> <td style="text-align:right;"> 47 </td> <td style="text-align:right;"> 35.1 </td> <td style="text-align:right;"> 13.6 </td> <td style="text-align:right;"> 19.0 </td> <td style="text-align:right;"> 13.7 </td> <td style="text-align:right;"> 16822.0 </td> <td style="text-align:right;"> 48.68030 </td> <td style="text-align:right;"> 1.4 </td> <td style="text-align:right;"> 3.8 </td> <td style="text-align:right;"> 1.7 </td> <td style="text-align:right;"> 5.3 </td> <td style="text-align:right;"> 3.11 </td> <td style="text-align:right;"> 25 </td> <td style="text-align:right;"> 139.5665621 </td> <td style="text-align:right;"> 8.7 </td> <td style="text-align:right;"> 1.8 </td> <td style="text-align:right;"> 15.8 </td> <td style="text-align:right;"> 83.90153 </td> <td style="text-align:right;"> 74.42868 </td> <td style="text-align:right;"> 22.570000 </td> <td style="text-align:right;"> 18.99 </td> <td style="text-align:right;"> 20.670000 </td> <td style="text-align:right;"> 44.97 </td> <td style="text-align:right;"> 49.07 </td> <td style="text-align:right;"> 47.14 </td> </tr> <tr> <td style="text-align:left;"> St. Vincent and the Grenadines </td> <td style="text-align:left;"> VCT </td> <td style="text-align:right;"> 33.63 </td> <td style="text-align:right;"> 20.4200000 </td> <td style="text-align:right;"> -15.3315180 </td> <td style="text-align:right;"> -115814287 </td> <td style="text-align:right;"> 16960 </td> <td style="text-align:right;"> 15.5385348 </td> <td style="text-align:right;"> 24865 </td> <td style="text-align:right;"> 22.7809946 </td> <td style="text-align:right;"> 3.1913297 </td> <td style="text-align:right;"> 7.582815e+06 </td> <td style="text-align:right;"> 17.132067 </td> <td style="text-align:right;"> 74.692 </td> <td style="text-align:right;"> 69.867 </td> <td style="text-align:right;"> 72.09500 </td> <td style="text-align:right;"> 113371 </td> <td style="text-align:right;"> 103.86906 </td> <td style="text-align:right;"> 6.4 </td> <td style="text-align:right;"> 22.3 </td> <td style="text-align:right;"> 19.4 </td> <td style="text-align:right;"> 25.1 </td> <td style="text-align:right;"> 0.0 </td> <td style="text-align:right;"> 0.0 </td> <td style="text-align:right;"> 0.0 </td> <td style="text-align:right;"> 128.255 </td> <td style="text-align:right;"> 181.392 </td> <td style="text-align:right;"> 15.2 </td> <td style="text-align:right;"> 13.9 </td> <td style="text-align:right;"> 16.5 </td> <td style="text-align:right;"> 10.6 </td> <td style="text-align:right;"> 16.8 </td> <td style="text-align:right;"> 15.3 </td> <td style="text-align:right;"> 18.2 </td> <td style="text-align:right;"> -248477267 </td> <td style="text-align:right;"> -132713777 </td> <td style="text-align:right;"> 6 </td> <td style="text-align:right;"> 10 </td> <td style="text-align:right;"> 12 </td> <td style="text-align:right;"> 3 </td> <td style="text-align:right;"> 25 </td> <td style="text-align:right;"> 17 </td> <td style="text-align:right;"> 27 </td> <td style="text-align:right;"> 32.8 </td> <td style="text-align:right;"> 16.7 </td> <td style="text-align:right;"> 21.6 </td> <td style="text-align:right;"> 16.9 </td> <td style="text-align:right;"> 13362.0 </td> <td style="text-align:right;"> 48.84748 </td> <td style="text-align:right;"> 3.0 </td> <td style="text-align:right;"> 5.1 </td> <td style="text-align:right;"> 1.7 </td> <td style="text-align:right;"> 7.3 </td> <td style="text-align:right;"> 0.46 </td> <td style="text-align:right;"> 13 </td> <td style="text-align:right;"> 119.1043354 </td> <td style="text-align:right;"> 3.3 </td> <td style="text-align:right;"> 0.8 </td> <td style="text-align:right;"> 5.6 </td> <td style="text-align:right;"> 80.32119 </td> <td style="text-align:right;"> 69.39145 </td> <td style="text-align:right;"> 16.940001 </td> <td style="text-align:right;"> 20.70 </td> <td style="text-align:right;"> 19.160000 </td> <td style="text-align:right;"> 42.68 </td> <td style="text-align:right;"> 39.95 </td> <td style="text-align:right;"> 40.95 </td> </tr> <tr> <td style="text-align:left;"> Sudan </td> <td style="text-align:left;"> SDN </td> <td style="text-align:right;"> 4.72 </td> <td style="text-align:right;"> 3.3200000 </td> <td style="text-align:right;"> -7.3501531 </td> <td style="text-align:right;"> -5460760074 </td> <td style="text-align:right;"> 28093 </td> <td style="text-align:right;"> 0.0722130 </td> <td style="text-align:right;"> 118954 </td> <td style="text-align:right;"> 0.3057712 </td> <td style="text-align:right;"> 0.1341547 </td> <td style="text-align:right;"> 2.317283e+06 </td> <td style="text-align:right;"> 26.610000 </td> <td style="text-align:right;"> 66.198 </td> <td style="text-align:right;"> 62.693 </td> <td style="text-align:right;"> 64.42900 </td> <td style="text-align:right;"> 27938507 </td> <td style="text-align:right;"> 71.81591 </td> <td style="text-align:right;"> 25.1 </td> <td style="text-align:right;"> 23.3 </td> <td style="text-align:right;"> 21.6 </td> <td style="text-align:right;"> 25.1 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 1.9 </td> <td style="text-align:right;"> 2.5 </td> <td style="text-align:right;"> 194.430 </td> <td style="text-align:right;"> 251.674 </td> <td style="text-align:right;"> 45.2 </td> <td style="text-align:right;"> 40.0 </td> <td style="text-align:right;"> 50.1 </td> <td style="text-align:right;"> 29.4 </td> <td style="text-align:right;"> 65.9 </td> <td style="text-align:right;"> 60.4 </td> <td style="text-align:right;"> 71.1 </td> <td style="text-align:right;"> -5389192500 </td> <td style="text-align:right;"> -5250554114 </td> <td style="text-align:right;"> 2903 </td> <td style="text-align:right;"> 10056 </td> <td style="text-align:right;"> 12946 </td> <td style="text-align:right;"> 6789 </td> <td style="text-align:right;"> 57915 </td> <td style="text-align:right;"> 38147 </td> <td style="text-align:right;"> 83825 </td> <td style="text-align:right;"> 57.9 </td> <td style="text-align:right;"> 36.2 </td> <td style="text-align:right;"> 37.5 </td> <td style="text-align:right;"> 36.3 </td> <td style="text-align:right;"> 4518417.0 </td> <td style="text-align:right;"> 47.08355 </td> <td style="text-align:right;"> 3.0 </td> <td style="text-align:right;"> 11.8 </td> <td style="text-align:right;"> 6.3 </td> <td style="text-align:right;"> 18.0 </td> <td style="text-align:right;"> 259.18 </td> <td style="text-align:right;"> 29 </td> <td style="text-align:right;"> 0.7454448 </td> <td style="text-align:right;"> 3.9 </td> <td style="text-align:right;"> 2.8 </td> <td style="text-align:right;"> 5.0 </td> <td style="text-align:right;"> 68.39322 </td> <td style="text-align:right;"> 61.19743 </td> <td style="text-align:right;"> 30.000000 </td> <td style="text-align:right;"> 11.91 </td> <td style="text-align:right;"> 17.290001 </td> <td style="text-align:right;"> 43.68 </td> <td style="text-align:right;"> 27.14 </td> <td style="text-align:right;"> 32.68 </td> </tr> <tr> <td style="text-align:left;"> Suriname </td> <td style="text-align:left;"> SUR </td> <td style="text-align:right;"> 47.13 </td> <td style="text-align:right;"> 10.9200000 </td> <td style="text-align:right;"> -16.4272930 </td> <td style="text-align:right;"> -786434956 </td> <td style="text-align:right;"> 52691 </td> <td style="text-align:right;"> 9.4235285 </td> <td style="text-align:right;"> 91916 </td> <td style="text-align:right;"> 16.4387286 </td> <td style="text-align:right;"> 5.6758151 </td> <td style="text-align:right;"> 1.006818e+07 </td> <td style="text-align:right;"> 42.763828 </td> <td style="text-align:right;"> 74.584 </td> <td style="text-align:right;"> 68.088 </td> <td style="text-align:right;"> 71.24900 </td> <td style="text-align:right;"> 750458 </td> <td style="text-align:right;"> 134.21576 </td> <td style="text-align:right;"> 11.4 </td> <td style="text-align:right;"> 20.6 </td> <td style="text-align:right;"> 16.5 </td> <td style="text-align:right;"> 25.0 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 119.201 </td> <td style="text-align:right;"> 221.057 </td> <td style="text-align:right;"> 18.0 </td> <td style="text-align:right;"> 15.8 </td> <td style="text-align:right;"> 20.2 </td> <td style="text-align:right;"> 12.7 </td> <td style="text-align:right;"> 20.2 </td> <td style="text-align:right;"> 17.7 </td> <td style="text-align:right;"> 22.6 </td> <td style="text-align:right;"> -307374294 </td> <td style="text-align:right;"> -838499616 </td> <td style="text-align:right;"> 19 </td> <td style="text-align:right;"> 38 </td> <td style="text-align:right;"> 51 </td> <td style="text-align:right;"> 15 </td> <td style="text-align:right;"> 194 </td> <td style="text-align:right;"> 137 </td> <td style="text-align:right;"> 218 </td> <td style="text-align:right;"> 34.3 </td> <td style="text-align:right;"> 20.0 </td> <td style="text-align:right;"> 23.9 </td> <td style="text-align:right;"> 20.2 </td> <td style="text-align:right;"> 71921.0 </td> <td style="text-align:right;"> 48.43231 </td> <td style="text-align:right;"> 1.8 </td> <td style="text-align:right;"> 3.8 </td> <td style="text-align:right;"> 1.4 </td> <td style="text-align:right;"> 5.2 </td> <td style="text-align:right;"> 13.21 </td> <td style="text-align:right;"> 60 </td> <td style="text-align:right;"> 107.3084187 </td> <td style="text-align:right;"> 24.8 </td> <td style="text-align:right;"> 11.6 </td> <td style="text-align:right;"> 37.8 </td> <td style="text-align:right;"> 80.13777 </td> <td style="text-align:right;"> 67.12123 </td> <td style="text-align:right;"> 11.650000 </td> <td style="text-align:right;"> 4.46 </td> <td style="text-align:right;"> 7.220000 </td> <td style="text-align:right;"> 21.36 </td> <td style="text-align:right;"> 9.01 </td> <td style="text-align:right;"> 13.50 </td> </tr> <tr> <td style="text-align:left;"> Sweden </td> <td style="text-align:left;"> SWE </td> <td style="text-align:right;"> 40.53 </td> <td style="text-align:right;"> 19.3200000 </td> <td style="text-align:right;"> 3.3161688 </td> <td style="text-align:right;"> 16750093767 </td> <td style="text-align:right;"> 3496240 </td> <td style="text-align:right;"> 35.8039724 </td> <td style="text-align:right;"> 3554665 </td> <td style="text-align:right;"> 36.4022857 </td> <td style="text-align:right;"> 22.1222487 </td> <td style="text-align:right;"> 1.575509e+10 </td> <td style="text-align:right;"> 90.610197 </td> <td style="text-align:right;"> 84.100 </td> <td style="text-align:right;"> 80.400 </td> <td style="text-align:right;"> 82.20488 </td> <td style="text-align:right;"> 12638827 </td> <td style="text-align:right;"> 129.43053 </td> <td style="text-align:right;"> 3.2 </td> <td style="text-align:right;"> 9.2 </td> <td style="text-align:right;"> 7.8 </td> <td style="text-align:right;"> 10.6 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 39.950 </td> <td style="text-align:right;"> 66.933 </td> <td style="text-align:right;"> 2.3 </td> <td style="text-align:right;"> 2.1 </td> <td style="text-align:right;"> 2.5 </td> <td style="text-align:right;"> 1.6 </td> <td style="text-align:right;"> 2.9 </td> <td style="text-align:right;"> 2.6 </td> <td style="text-align:right;"> 3.1 </td> <td style="text-align:right;"> 11489835287 </td> <td style="text-align:right;"> 21258290471 </td> <td style="text-align:right;"> 46 </td> <td style="text-align:right;"> 118 </td> <td style="text-align:right;"> 297 </td> <td style="text-align:right;"> 40 </td> <td style="text-align:right;"> 272 </td> <td style="text-align:right;"> 185 </td> <td style="text-align:right;"> 333 </td> <td style="text-align:right;"> 11.7 </td> <td style="text-align:right;"> 12.0 </td> <td style="text-align:right;"> 17.3 </td> <td style="text-align:right;"> 12.2 </td> <td style="text-align:right;"> 791893.0 </td> <td style="text-align:right;"> 49.69649 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 1.2 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 2.1 </td> <td style="text-align:right;"> 20858.16 </td> <td style="text-align:right;"> 41234 </td> <td style="text-align:right;"> 4207.9005338 </td> <td style="text-align:right;"> 15.7 </td> <td style="text-align:right;"> 9.7 </td> <td style="text-align:right;"> 21.8 </td> <td style="text-align:right;"> 93.11937 </td> <td style="text-align:right;"> 89.43606 </td> <td style="text-align:right;"> 7.290000 </td> <td style="text-align:right;"> 7.56 </td> <td style="text-align:right;"> 7.430000 </td> <td style="text-align:right;"> 19.39 </td> <td style="text-align:right;"> 21.01 </td> <td style="text-align:right;"> 20.21 </td> </tr> <tr> <td style="text-align:left;"> Switzerland </td> <td style="text-align:left;"> CHE </td> <td style="text-align:right;"> 98.71 </td> <td style="text-align:right;"> 44.3500000 </td> <td style="text-align:right;"> 10.6072743 </td> <td style="text-align:right;"> 72111675814 </td> <td style="text-align:right;"> 3700563 </td> <td style="text-align:right;"> 44.6024268 </td> <td style="text-align:right;"> 4140000 </td> <td style="text-align:right;"> 49.8989065 </td> <td style="text-align:right;"> 11.3394328 </td> <td style="text-align:right;"> 1.382213e+10 </td> <td style="text-align:right;"> 87.479056 </td> <td style="text-align:right;"> 85.100 </td> <td style="text-align:right;"> 80.800 </td> <td style="text-align:right;"> 82.89756 </td> <td style="text-align:right;"> 11243210 </td> <td style="text-align:right;"> 135.51302 </td> <td style="text-align:right;"> 3.1 </td> <td style="text-align:right;"> 8.8 </td> <td style="text-align:right;"> 6.7 </td> <td style="text-align:right;"> 10.8 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 36.484 </td> <td style="text-align:right;"> 62.284 </td> <td style="text-align:right;"> 3.8 </td> <td style="text-align:right;"> 3.5 </td> <td style="text-align:right;"> 4.1 </td> <td style="text-align:right;"> 3.0 </td> <td style="text-align:right;"> 4.3 </td> <td style="text-align:right;"> 3.9 </td> <td style="text-align:right;"> 4.7 </td> <td style="text-align:right;"> 61202429996 </td> <td style="text-align:right;"> 74934022470 </td> <td style="text-align:right;"> 33 </td> <td style="text-align:right;"> 99 </td> <td style="text-align:right;"> 151 </td> <td style="text-align:right;"> 28 </td> <td style="text-align:right;"> 323 </td> <td style="text-align:right;"> 256 </td> <td style="text-align:right;"> 366 </td> <td style="text-align:right;"> 12.2 </td> <td style="text-align:right;"> 10.0 </td> <td style="text-align:right;"> 13.9 </td> <td style="text-align:right;"> 10.1 </td> <td style="text-align:right;"> 490469.0 </td> <td style="text-align:right;"> 48.58554 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 1.1 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 1.5 </td> <td style="text-align:right;"> 21866.60 </td> <td style="text-align:right;"> 57464 </td> <td style="text-align:right;"> 6938.0889298 </td> <td style="text-align:right;"> 15.0 </td> <td style="text-align:right;"> 9.5 </td> <td style="text-align:right;"> 20.5 </td> <td style="text-align:right;"> 93.73133 </td> <td style="text-align:right;"> 89.74497 </td> <td style="text-align:right;"> 4.910000 </td> <td style="text-align:right;"> 4.70 </td> <td style="text-align:right;"> 4.800000 </td> <td style="text-align:right;"> 8.39 </td> <td style="text-align:right;"> 9.21 </td> <td style="text-align:right;"> 8.81 </td> </tr> <tr> <td style="text-align:left;"> Tanzania </td> <td style="text-align:left;"> TZA </td> <td style="text-align:right;"> 6.22 </td> <td style="text-align:right;"> 2.5500000 </td> <td style="text-align:right;"> -9.4502971 </td> <td style="text-align:right;"> -4477418358 </td> <td style="text-align:right;"> 106000 </td> <td style="text-align:right;"> 0.2058947 </td> <td style="text-align:right;"> 142819 </td> <td style="text-align:right;"> 0.2774120 </td> <td style="text-align:right;"> 1.4850781 </td> <td style="text-align:right;"> 5.067655e+07 </td> <td style="text-align:right;"> 20.000000 </td> <td style="text-align:right;"> 65.127 </td> <td style="text-align:right;"> 61.082 </td> <td style="text-align:right;"> 63.11100 </td> <td style="text-align:right;"> 39665600 </td> <td style="text-align:right;"> 77.04656 </td> <td style="text-align:right;"> 30.8 </td> <td style="text-align:right;"> 17.7 </td> <td style="text-align:right;"> 17.3 </td> <td style="text-align:right;"> 18.2 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 1.9 </td> <td style="text-align:right;"> 2.5 </td> <td style="text-align:right;"> 211.158 </td> <td style="text-align:right;"> 268.176 </td> <td style="text-align:right;"> 41.0 </td> <td style="text-align:right;"> 37.6 </td> <td style="text-align:right;"> 44.2 </td> <td style="text-align:right;"> 22.1 </td> <td style="text-align:right;"> 57.9 </td> <td style="text-align:right;"> 54.0 </td> <td style="text-align:right;"> 61.7 </td> <td style="text-align:right;"> -5016320066 </td> <td style="text-align:right;"> -4233069152 </td> <td style="text-align:right;"> 4721 </td> <td style="text-align:right;"> 8178 </td> <td style="text-align:right;"> 10322 </td> <td style="text-align:right;"> 13761 </td> <td style="text-align:right;"> 78802 </td> <td style="text-align:right;"> 43162 </td> <td style="text-align:right;"> 110073 </td> <td style="text-align:right;"> 56.2 </td> <td style="text-align:right;"> 38.6 </td> <td style="text-align:right;"> 49.6 </td> <td style="text-align:right;"> 39.7 </td> <td style="text-align:right;"> 8298282.0 </td> <td style="text-align:right;"> 50.83528 </td> <td style="text-align:right;"> 3.6 </td> <td style="text-align:right;"> 7.6 </td> <td style="text-align:right;"> 8.9 </td> <td style="text-align:right;"> 11.0 </td> <td style="text-align:right;"> 542.27 </td> <td style="text-align:right;"> 169 </td> <td style="text-align:right;"> 3.2826604 </td> <td style="text-align:right;"> 4.2 </td> <td style="text-align:right;"> 2.0 </td> <td style="text-align:right;"> 6.4 </td> <td style="text-align:right;"> 66.11900 </td> <td style="text-align:right;"> 57.35870 </td> <td style="text-align:right;"> 2.670000 </td> <td style="text-align:right;"> 1.58 </td> <td style="text-align:right;"> 2.100000 </td> <td style="text-align:right;"> 4.42 </td> <td style="text-align:right;"> 3.00 </td> <td style="text-align:right;"> 3.68 </td> </tr> <tr> <td style="text-align:left;"> Thailand </td> <td style="text-align:left;"> THA </td> <td style="text-align:right;"> 117.37 </td> <td style="text-align:right;"> 12.5300000 </td> <td style="text-align:right;"> 6.9158203 </td> <td style="text-align:right;"> 27752906127 </td> <td style="text-align:right;"> 6229000 </td> <td style="text-align:right;"> 9.0650430 </td> <td style="text-align:right;"> 5309000 </td> <td style="text-align:right;"> 7.7261701 </td> <td style="text-align:right;"> 0.8532226 </td> <td style="text-align:right;"> 4.955700e+08 </td> <td style="text-align:right;"> 39.316127 </td> <td style="text-align:right;"> 79.863 </td> <td style="text-align:right;"> 72.412 </td> <td style="text-align:right;"> 76.09100 </td> <td style="text-align:right;"> 102942000 </td> <td style="text-align:right;"> 149.81115 </td> <td style="text-align:right;"> 32.8 </td> <td style="text-align:right;"> 13.8 </td> <td style="text-align:right;"> 10.8 </td> <td style="text-align:right;"> 17.2 </td> <td style="text-align:right;"> 0.2 </td> <td style="text-align:right;"> 0.1 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 93.756 </td> <td style="text-align:right;"> 204.022 </td> <td style="text-align:right;"> 9.3 </td> <td style="text-align:right;"> 8.2 </td> <td style="text-align:right;"> 10.2 </td> <td style="text-align:right;"> 6.3 </td> <td style="text-align:right;"> 10.8 </td> <td style="text-align:right;"> 9.6 </td> <td style="text-align:right;"> 11.9 </td> <td style="text-align:right;"> 26116490037 </td> <td style="text-align:right;"> 41680325907 </td> <td style="text-align:right;"> 2210 </td> <td style="text-align:right;"> 5820 </td> <td style="text-align:right;"> 6437 </td> <td style="text-align:right;"> 1544 </td> <td style="text-align:right;"> 6929 </td> <td style="text-align:right;"> 4723 </td> <td style="text-align:right;"> 8104 </td> <td style="text-align:right;"> 27.4 </td> <td style="text-align:right;"> 22.5 </td> <td style="text-align:right;"> 31.7 </td> <td style="text-align:right;"> 22.7 </td> <td style="text-align:right;"> 5081079.0 </td> <td style="text-align:right;"> 47.12686 </td> <td style="text-align:right;"> 2.5 </td> <td style="text-align:right;"> 6.0 </td> <td style="text-align:right;"> 1.9 </td> <td style="text-align:right;"> 6.6 </td> <td style="text-align:right;"> 8706.83 </td> <td style="text-align:right;"> 4768 </td> <td style="text-align:right;"> 69.3885459 </td> <td style="text-align:right;"> 8.0 </td> <td style="text-align:right;"> 3.0 </td> <td style="text-align:right;"> 13.3 </td> <td style="text-align:right;"> 86.62794 </td> <td style="text-align:right;"> 73.22310 </td> <td style="text-align:right;"> 0.610000 </td> <td style="text-align:right;"> 0.59 </td> <td style="text-align:right;"> 0.600000 </td> <td style="text-align:right;"> 3.98 </td> <td style="text-align:right;"> 2.58 </td> <td style="text-align:right;"> 3.15 </td> </tr> <tr> <td style="text-align:left;"> Timor-Leste </td> <td style="text-align:left;"> TLS </td> <td style="text-align:right;"> 6.63 </td> <td style="text-align:right;"> 4.9700000 </td> <td style="text-align:right;"> 14.1003435 </td> <td style="text-align:right;"> 224817400 </td> <td style="text-align:right;"> 1028 </td> <td style="text-align:right;"> 0.0859315 </td> <td style="text-align:right;"> 2720 </td> <td style="text-align:right;"> 0.2273673 </td> <td style="text-align:right;"> 6.1214084 </td> <td style="text-align:right;"> 4.466100e+06 </td> <td style="text-align:right;"> 23.000000 </td> <td style="text-align:right;"> 70.454 </td> <td style="text-align:right;"> 66.582 </td> <td style="text-align:right;"> 68.45900 </td> <td style="text-align:right;"> 1376669 </td> <td style="text-align:right;"> 115.07705 </td> <td style="text-align:right;"> 13.1 </td> <td style="text-align:right;"> 18.6 </td> <td style="text-align:right;"> 17.6 </td> <td style="text-align:right;"> 19.6 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 124.929 </td> <td style="text-align:right;"> 174.544 </td> <td style="text-align:right;"> 43.2 </td> <td style="text-align:right;"> 39.4 </td> <td style="text-align:right;"> 46.9 </td> <td style="text-align:right;"> 21.4 </td> <td style="text-align:right;"> 50.8 </td> <td style="text-align:right;"> 46.5 </td> <td style="text-align:right;"> 54.8 </td> <td style="text-align:right;"> -634878300 </td> <td style="text-align:right;"> -1228659498 </td> <td style="text-align:right;"> 122 </td> <td style="text-align:right;"> 356 </td> <td style="text-align:right;"> 253 </td> <td style="text-align:right;"> 171 </td> <td style="text-align:right;"> 1498 </td> <td style="text-align:right;"> 755 </td> <td style="text-align:right;"> 1751 </td> <td style="text-align:right;"> 59.5 </td> <td style="text-align:right;"> 27.1 </td> <td style="text-align:right;"> 35.1 </td> <td style="text-align:right;"> 27.7 </td> <td style="text-align:right;"> 243559.0 </td> <td style="text-align:right;"> 48.62641 </td> <td style="text-align:right;"> 3.8 </td> <td style="text-align:right;"> 12.9 </td> <td style="text-align:right;"> 5.5 </td> <td style="text-align:right;"> 10.5 </td> <td style="text-align:right;"> 8.33 </td> <td style="text-align:right;"> 11 </td> <td style="text-align:right;"> 9.1950026 </td> <td style="text-align:right;"> 3.5 </td> <td style="text-align:right;"> 2.0 </td> <td style="text-align:right;"> 5.0 </td> <td style="text-align:right;"> 76.54784 </td> <td style="text-align:right;"> 69.05976 </td> <td style="text-align:right;"> 5.820000 </td> <td style="text-align:right;"> 3.29 </td> <td style="text-align:right;"> 4.450000 </td> <td style="text-align:right;"> 15.10 </td> <td style="text-align:right;"> 9.64 </td> <td style="text-align:right;"> 12.11 </td> </tr> <tr> <td style="text-align:left;"> Togo </td> <td style="text-align:left;"> TGO </td> <td style="text-align:right;"> 5.64 </td> <td style="text-align:right;"> 5.2900000 </td> <td style="text-align:right;"> -11.0270118 </td> <td style="text-align:right;"> -461024605 </td> <td style="text-align:right;"> 66072 </td> <td style="text-align:right;"> 0.9022337 </td> <td style="text-align:right;"> 52690 </td> <td style="text-align:right;"> 0.7194983 </td> <td style="text-align:right;"> 3.7541571 </td> <td style="text-align:right;"> 1.831044e+07 </td> <td style="text-align:right;"> 7.120000 </td> <td style="text-align:right;"> 60.706 </td> <td style="text-align:right;"> 59.128 </td> <td style="text-align:right;"> 59.92700 </td> <td style="text-align:right;"> 4855206 </td> <td style="text-align:right;"> 66.29935 </td> <td style="text-align:right;"> 29.9 </td> <td style="text-align:right;"> 25.6 </td> <td style="text-align:right;"> 22.6 </td> <td style="text-align:right;"> 28.8 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 1.4 </td> <td style="text-align:right;"> 3.0 </td> <td style="text-align:right;"> 255.415 </td> <td style="text-align:right;"> 288.003 </td> <td style="text-align:right;"> 50.8 </td> <td style="text-align:right;"> 45.7 </td> <td style="text-align:right;"> 55.7 </td> <td style="text-align:right;"> 26.7 </td> <td style="text-align:right;"> 75.8 </td> <td style="text-align:right;"> 69.9 </td> <td style="text-align:right;"> 81.5 </td> <td style="text-align:right;"> -1033133707 </td> <td style="text-align:right;"> -918413326 </td> <td style="text-align:right;"> 1099 </td> <td style="text-align:right;"> 1301 </td> <td style="text-align:right;"> 1388 </td> <td style="text-align:right;"> 1818 </td> <td style="text-align:right;"> 12677 </td> <td style="text-align:right;"> 6738 </td> <td style="text-align:right;"> 18770 </td> <td style="text-align:right;"> 71.2 </td> <td style="text-align:right;"> 45.9 </td> <td style="text-align:right;"> 54.6 </td> <td style="text-align:right;"> 46.7 </td> <td style="text-align:right;"> 1498312.0 </td> <td style="text-align:right;"> 48.63560 </td> <td style="text-align:right;"> 6.1 </td> <td style="text-align:right;"> 8.5 </td> <td style="text-align:right;"> 8.7 </td> <td style="text-align:right;"> 10.7 </td> <td style="text-align:right;"> 83.17 </td> <td style="text-align:right;"> 22 </td> <td style="text-align:right;"> 3.0041684 </td> <td style="text-align:right;"> 9.7 </td> <td style="text-align:right;"> 4.6 </td> <td style="text-align:right;"> 14.9 </td> <td style="text-align:right;"> 59.83957 </td> <td style="text-align:right;"> 55.33378 </td> <td style="text-align:right;"> 1.690000 </td> <td style="text-align:right;"> 2.68 </td> <td style="text-align:right;"> 2.200000 </td> <td style="text-align:right;"> 4.54 </td> <td style="text-align:right;"> 3.90 </td> <td style="text-align:right;"> 4.24 </td> </tr> <tr> <td style="text-align:left;"> Tonga </td> <td style="text-align:left;"> TON </td> <td style="text-align:right;"> 26.53 </td> <td style="text-align:right;"> 31.2100000 </td> <td style="text-align:right;"> -10.0895999 </td> <td style="text-align:right;"> -44092180 </td> <td style="text-align:right;"> 2458 </td> <td style="text-align:right;"> 2.4389518 </td> <td style="text-align:right;"> 13220 </td> <td style="text-align:right;"> 13.1175519 </td> <td style="text-align:right;"> 9.4756836 </td> <td style="text-align:right;"> 4.604979e+06 </td> <td style="text-align:right;"> 38.651272 </td> <td style="text-align:right;"> 72.449 </td> <td style="text-align:right;"> 68.606 </td> <td style="text-align:right;"> 70.51700 </td> <td style="text-align:right;"> 73493 </td> <td style="text-align:right;"> 72.92347 </td> <td style="text-align:right;"> 6.9 </td> <td style="text-align:right;"> 26.1 </td> <td style="text-align:right;"> 20.7 </td> <td style="text-align:right;"> 31.5 </td> <td style="text-align:right;"> 1.4 </td> <td style="text-align:right;"> 1.1 </td> <td style="text-align:right;"> 1.7 </td> <td style="text-align:right;"> 100.936 </td> <td style="text-align:right;"> 167.091 </td> <td style="text-align:right;"> 14.5 </td> <td style="text-align:right;"> 16.4 </td> <td style="text-align:right;"> 12.5 </td> <td style="text-align:right;"> 7.5 </td> <td style="text-align:right;"> 16.8 </td> <td style="text-align:right;"> 18.5 </td> <td style="text-align:right;"> 15.0 </td> <td style="text-align:right;"> -180692299 </td> <td style="text-align:right;"> -186642104 </td> <td style="text-align:right;"> 3 </td> <td style="text-align:right;"> 7 </td> <td style="text-align:right;"> 8 </td> <td style="text-align:right;"> 5 </td> <td style="text-align:right;"> 38 </td> <td style="text-align:right;"> 19 </td> <td style="text-align:right;"> 44 </td> <td style="text-align:right;"> 37.7 </td> <td style="text-align:right;"> 27.0 </td> <td style="text-align:right;"> 36.9 </td> <td style="text-align:right;"> 27.6 </td> <td style="text-align:right;"> 16982.0 </td> <td style="text-align:right;"> 47.41491 </td> <td style="text-align:right;"> 1.1 </td> <td style="text-align:right;"> 3.3 </td> <td style="text-align:right;"> 1.9 </td> <td style="text-align:right;"> 5.0 </td> <td style="text-align:right;"> 2.83 </td> <td style="text-align:right;"> 11 </td> <td style="text-align:right;"> 109.1475576 </td> <td style="text-align:right;"> 4.6 </td> <td style="text-align:right;"> 3.1 </td> <td style="text-align:right;"> 6.1 </td> <td style="text-align:right;"> 79.43638 </td> <td style="text-align:right;"> 67.93197 </td> <td style="text-align:right;"> 3.390000 </td> <td style="text-align:right;"> 2.12 </td> <td style="text-align:right;"> 2.640000 </td> <td style="text-align:right;"> 12.13 </td> <td style="text-align:right;"> 4.96 </td> <td style="text-align:right;"> 7.91 </td> </tr> <tr> <td style="text-align:left;"> Tunisia </td> <td style="text-align:left;"> TUN </td> <td style="text-align:right;"> 26.40 </td> <td style="text-align:right;"> 19.9900000 </td> <td style="text-align:right;"> -8.9168544 </td> <td style="text-align:right;"> -3849716434 </td> <td style="text-align:right;"> 573977 </td> <td style="text-align:right;"> 5.1339859 </td> <td style="text-align:right;"> 943642 </td> <td style="text-align:right;"> 8.4404857 </td> <td style="text-align:right;"> 9.4198301 </td> <td style="text-align:right;"> 3.103040e+08 </td> <td style="text-align:right;"> 46.499994 </td> <td style="text-align:right;"> 77.990 </td> <td style="text-align:right;"> 73.903 </td> <td style="text-align:right;"> 75.92200 </td> <td style="text-align:right;"> 14595875 </td> <td style="text-align:right;"> 130.55404 </td> <td style="text-align:right;"> 22.9 </td> <td style="text-align:right;"> 16.0 </td> <td style="text-align:right;"> 12.8 </td> <td style="text-align:right;"> 19.3 </td> <td style="text-align:right;"> 0.7 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 0.9 </td> <td style="text-align:right;"> 70.650 </td> <td style="text-align:right;"> 112.036 </td> <td style="text-align:right;"> 14.8 </td> <td style="text-align:right;"> 13.4 </td> <td style="text-align:right;"> 16.1 </td> <td style="text-align:right;"> 12.1 </td> <td style="text-align:right;"> 17.2 </td> <td style="text-align:right;"> 15.7 </td> <td style="text-align:right;"> 18.6 </td> <td style="text-align:right;"> -4944675970 </td> <td style="text-align:right;"> -4726795386 </td> <td style="text-align:right;"> 257 </td> <td style="text-align:right;"> 436 </td> <td style="text-align:right;"> 693 </td> <td style="text-align:right;"> 283 </td> <td style="text-align:right;"> 3081 </td> <td style="text-align:right;"> 2525 </td> <td style="text-align:right;"> 3571 </td> <td style="text-align:right;"> 28.1 </td> <td style="text-align:right;"> 30.8 </td> <td style="text-align:right;"> 30.7 </td> <td style="text-align:right;"> 30.8 </td> <td style="text-align:right;"> 1114883.0 </td> <td style="text-align:right;"> 48.15860 </td> <td style="text-align:right;"> 1.6 </td> <td style="text-align:right;"> 2.6 </td> <td style="text-align:right;"> 1.7 </td> <td style="text-align:right;"> 3.8 </td> <td style="text-align:right;"> 5072.55 </td> <td style="text-align:right;"> 214 </td> <td style="text-align:right;"> 19.1414111 </td> <td style="text-align:right;"> 3.1 </td> <td style="text-align:right;"> 2.0 </td> <td style="text-align:right;"> 4.3 </td> <td style="text-align:right;"> 87.59149 </td> <td style="text-align:right;"> 80.68056 </td> <td style="text-align:right;"> 22.230000 </td> <td style="text-align:right;"> 12.41 </td> <td style="text-align:right;"> 15.160000 </td> <td style="text-align:right;"> 37.65 </td> <td style="text-align:right;"> 34.12 </td> <td style="text-align:right;"> 35.20 </td> </tr> <tr> <td style="text-align:left;"> Uganda </td> <td style="text-align:left;"> UGA </td> <td style="text-align:right;"> 4.64 </td> <td style="text-align:right;"> 3.0300000 </td> <td style="text-align:right;"> -5.1825250 </td> <td style="text-align:right;"> -1671266704 </td> <td style="text-align:right;"> 80724 </td> <td style="text-align:right;"> 0.2111787 </td> <td style="text-align:right;"> 328811 </td> <td style="text-align:right;"> 0.8601886 </td> <td style="text-align:right;"> 3.1704983 </td> <td style="text-align:right;"> 6.535863e+07 </td> <td style="text-align:right;"> 17.834860 </td> <td style="text-align:right;"> 63.303 </td> <td style="text-align:right;"> 59.318 </td> <td style="text-align:right;"> 61.37300 </td> <td style="text-align:right;"> 20220273 </td> <td style="text-align:right;"> 52.89741 </td> <td style="text-align:right;"> 30.3 </td> <td style="text-align:right;"> 21.9 </td> <td style="text-align:right;"> 18.5 </td> <td style="text-align:right;"> 26.1 </td> <td style="text-align:right;"> 1.9 </td> <td style="text-align:right;"> 1.4 </td> <td style="text-align:right;"> 2.5 </td> <td style="text-align:right;"> 271.842 </td> <td style="text-align:right;"> 351.601 </td> <td style="text-align:right;"> 39.2 </td> <td style="text-align:right;"> 35.2 </td> <td style="text-align:right;"> 43.1 </td> <td style="text-align:right;"> 22.3 </td> <td style="text-align:right;"> 56.1 </td> <td style="text-align:right;"> 50.5 </td> <td style="text-align:right;"> 61.4 </td> <td style="text-align:right;"> -2288205108 </td> <td style="text-align:right;"> -2605057422 </td> <td style="text-align:right;"> 6070 </td> <td style="text-align:right;"> 11630 </td> <td style="text-align:right;"> 10246 </td> <td style="text-align:right;"> 11875 </td> <td style="text-align:right;"> 60622 </td> <td style="text-align:right;"> 34920 </td> <td style="text-align:right;"> 85828 </td> <td style="text-align:right;"> 52.1 </td> <td style="text-align:right;"> 30.6 </td> <td style="text-align:right;"> 38.8 </td> <td style="text-align:right;"> 31.5 </td> <td style="text-align:right;"> 8264317.0 </td> <td style="text-align:right;"> 50.11490 </td> <td style="text-align:right;"> 5.8 </td> <td style="text-align:right;"> 13.4 </td> <td style="text-align:right;"> 9.7 </td> <td style="text-align:right;"> 14.4 </td> <td style="text-align:right;"> 611.13 </td> <td style="text-align:right;"> 114 </td> <td style="text-align:right;"> 2.9823061 </td> <td style="text-align:right;"> 4.7 </td> <td style="text-align:right;"> 1.7 </td> <td style="text-align:right;"> 7.8 </td> <td style="text-align:right;"> 61.99327 </td> <td style="text-align:right;"> 53.12201 </td> <td style="text-align:right;"> 2.380000 </td> <td style="text-align:right;"> 1.36 </td> <td style="text-align:right;"> 1.860000 </td> <td style="text-align:right;"> 3.24 </td> <td style="text-align:right;"> 2.08 </td> <td style="text-align:right;"> 2.64 </td> </tr> <tr> <td style="text-align:left;"> Uruguay </td> <td style="text-align:left;"> URY </td> <td style="text-align:right;"> 54.78 </td> <td style="text-align:right;"> 12.0000000 </td> <td style="text-align:right;"> -0.9217911 </td> <td style="text-align:right;"> -491077818 </td> <td style="text-align:right;"> 900933 </td> <td style="text-align:right;"> 26.4047662 </td> <td style="text-align:right;"> 1106431 </td> <td style="text-align:right;"> 32.4275522 </td> <td style="text-align:right;"> 6.8989328 </td> <td style="text-align:right;"> 3.095532e+08 </td> <td style="text-align:right;"> 64.570787 </td> <td style="text-align:right;"> 80.992 </td> <td style="text-align:right;"> 73.529 </td> <td style="text-align:right;"> 77.36900 </td> <td style="text-align:right;"> 5165474 </td> <td style="text-align:right;"> 151.39098 </td> <td style="text-align:right;"> 15.3 </td> <td style="text-align:right;"> 17.1 </td> <td style="text-align:right;"> 12.9 </td> <td style="text-align:right;"> 21.8 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 0.5 </td> <td style="text-align:right;"> 0.4 </td> <td style="text-align:right;"> 76.364 </td> <td style="text-align:right;"> 135.006 </td> <td style="text-align:right;"> 7.6 </td> <td style="text-align:right;"> 6.7 </td> <td style="text-align:right;"> 8.5 </td> <td style="text-align:right;"> 5.0 </td> <td style="text-align:right;"> 8.8 </td> <td style="text-align:right;"> 7.8 </td> <td style="text-align:right;"> 9.8 </td> <td style="text-align:right;"> 1306860897 </td> <td style="text-align:right;"> 1720265229 </td> <td style="text-align:right;"> 51 </td> <td style="text-align:right;"> 187 </td> <td style="text-align:right;"> 267 </td> <td style="text-align:right;"> 37 </td> <td style="text-align:right;"> 368 </td> <td style="text-align:right;"> 241 </td> <td style="text-align:right;"> 426 </td> <td style="text-align:right;"> 22.4 </td> <td style="text-align:right;"> 13.4 </td> <td style="text-align:right;"> 25.0 </td> <td style="text-align:right;"> 13.8 </td> <td style="text-align:right;"> 316864.0 </td> <td style="text-align:right;"> 48.31537 </td> <td style="text-align:right;"> 1.0 </td> <td style="text-align:right;"> 3.6 </td> <td style="text-align:right;"> 0.8 </td> <td style="text-align:right;"> 5.1 </td> <td style="text-align:right;"> 688.05 </td> <td style="text-align:right;"> 635 </td> <td style="text-align:right;"> 186.1073637 </td> <td style="text-align:right;"> 18.6 </td> <td style="text-align:right;"> 7.7 </td> <td style="text-align:right;"> 30.4 </td> <td style="text-align:right;"> 87.28411 </td> <td style="text-align:right;"> 77.74532 </td> <td style="text-align:right;"> 8.860000 </td> <td style="text-align:right;"> 6.37 </td> <td style="text-align:right;"> 7.490000 </td> <td style="text-align:right;"> 26.13 </td> <td style="text-align:right;"> 20.04 </td> <td style="text-align:right;"> 22.61 </td> </tr> <tr> <td style="text-align:left;"> Vanuatu </td> <td style="text-align:left;"> VUT </td> <td style="text-align:right;"> 40.56 </td> <td style="text-align:right;"> 21.7900000 </td> <td style="text-align:right;"> -0.5089603 </td> <td style="text-align:right;"> -3866521 </td> <td style="text-align:right;"> 4297 </td> <td style="text-align:right;"> 1.5848486 </td> <td style="text-align:right;"> 4797 </td> <td style="text-align:right;"> 1.7692620 </td> <td style="text-align:right;"> 2.5779303 </td> <td style="text-align:right;"> 7.293963e+06 </td> <td style="text-align:right;"> 22.351405 </td> <td style="text-align:right;"> 71.522 </td> <td style="text-align:right;"> 68.383 </td> <td style="text-align:right;"> 69.86900 </td> <td style="text-align:right;"> 174818 </td> <td style="text-align:right;"> 64.47756 </td> <td style="text-align:right;"> 15.5 </td> <td style="text-align:right;"> 40.1 </td> <td style="text-align:right;"> 33.8 </td> <td style="text-align:right;"> 45.5 </td> <td style="text-align:right;"> 0.8 </td> <td style="text-align:right;"> 0.3 </td> <td style="text-align:right;"> 1.2 </td> <td style="text-align:right;"> 105.683 </td> <td style="text-align:right;"> 156.734 </td> <td style="text-align:right;"> 24.0 </td> <td style="text-align:right;"> 22.1 </td> <td style="text-align:right;"> 25.8 </td> <td style="text-align:right;"> 12.7 </td> <td style="text-align:right;"> 28.7 </td> <td style="text-align:right;"> 26.4 </td> <td style="text-align:right;"> 30.9 </td> <td style="text-align:right;"> -270298628 </td> <td style="text-align:right;"> -158324273 </td> <td style="text-align:right;"> 16 </td> <td style="text-align:right;"> 27 </td> <td style="text-align:right;"> 33 </td> <td style="text-align:right;"> 24 </td> <td style="text-align:right;"> 198 </td> <td style="text-align:right;"> 106 </td> <td style="text-align:right;"> 236 </td> <td style="text-align:right;"> 29.0 </td> <td style="text-align:right;"> 24.8 </td> <td style="text-align:right;"> 30.7 </td> <td style="text-align:right;"> 25.2 </td> <td style="text-align:right;"> 45931.0 </td> <td style="text-align:right;"> 47.33404 </td> <td style="text-align:right;"> 2.6 </td> <td style="text-align:right;"> 5.2 </td> <td style="text-align:right;"> 3.3 </td> <td style="text-align:right;"> 6.7 </td> <td style="text-align:right;"> 10.63 </td> <td style="text-align:right;"> 34 </td> <td style="text-align:right;"> 125.4010991 </td> <td style="text-align:right;"> 18.2 </td> <td style="text-align:right;"> 7.7 </td> <td style="text-align:right;"> 28.3 </td> <td style="text-align:right;"> 80.09703 </td> <td style="text-align:right;"> 72.40149 </td> <td style="text-align:right;"> 1.510000 </td> <td style="text-align:right;"> 2.04 </td> <td style="text-align:right;"> 1.810000 </td> <td style="text-align:right;"> 4.18 </td> <td style="text-align:right;"> 4.40 </td> <td style="text-align:right;"> 4.30 </td> </tr> <tr> <td style="text-align:left;"> Zambia </td> <td style="text-align:left;"> ZMB </td> <td style="text-align:right;"> 11.26 </td> <td style="text-align:right;"> 4.8000000 </td> <td style="text-align:right;"> -3.6136116 </td> <td style="text-align:right;"> -767651771 </td> <td style="text-align:right;"> 23390 </td> <td style="text-align:right;"> 0.1472981 </td> <td style="text-align:right;"> 116165 </td> <td style="text-align:right;"> 0.7315471 </td> <td style="text-align:right;"> 3.8243577 </td> <td style="text-align:right;"> 3.294730e+07 </td> <td style="text-align:right;"> 21.000000 </td> <td style="text-align:right;"> 64.297 </td> <td style="text-align:right;"> 59.105 </td> <td style="text-align:right;"> 61.73700 </td> <td style="text-align:right;"> 11557725 </td> <td style="text-align:right;"> 72.78457 </td> <td style="text-align:right;"> 20.9 </td> <td style="text-align:right;"> 26.6 </td> <td style="text-align:right;"> 22.8 </td> <td style="text-align:right;"> 31.0 </td> <td style="text-align:right;"> 2.9 </td> <td style="text-align:right;"> 2.2 </td> <td style="text-align:right;"> 3.6 </td> <td style="text-align:right;"> 255.312 </td> <td style="text-align:right;"> 350.332 </td> <td style="text-align:right;"> 46.7 </td> <td style="text-align:right;"> 42.5 </td> <td style="text-align:right;"> 50.7 </td> <td style="text-align:right;"> 24.5 </td> <td style="text-align:right;"> 68.5 </td> <td style="text-align:right;"> 63.1 </td> <td style="text-align:right;"> 73.6 </td> <td style="text-align:right;"> -74259762 </td> <td style="text-align:right;"> -645149167 </td> <td style="text-align:right;"> 1949 </td> <td style="text-align:right;"> 3740 </td> <td style="text-align:right;"> 4433 </td> <td style="text-align:right;"> 4041 </td> <td style="text-align:right;"> 27765 </td> <td style="text-align:right;"> 14769 </td> <td style="text-align:right;"> 40327 </td> <td style="text-align:right;"> 54.4 </td> <td style="text-align:right;"> 29.8 </td> <td style="text-align:right;"> 38.9 </td> <td style="text-align:right;"> 30.7 </td> <td style="text-align:right;"> 3215723.0 </td> <td style="text-align:right;"> 49.80078 </td> <td style="text-align:right;"> 4.5 </td> <td style="text-align:right;"> 10.5 </td> <td style="text-align:right;"> 8.2 </td> <td style="text-align:right;"> 15.0 </td> <td style="text-align:right;"> 157.23 </td> <td style="text-align:right;"> 90 </td> <td style="text-align:right;"> 5.6677344 </td> <td style="text-align:right;"> 8.7 </td> <td style="text-align:right;"> 3.8 </td> <td style="text-align:right;"> 13.7 </td> <td style="text-align:right;"> 62.82632 </td> <td style="text-align:right;"> 51.23856 </td> <td style="text-align:right;"> 10.660000 </td> <td style="text-align:right;"> 9.59 </td> <td style="text-align:right;"> 10.100000 </td> <td style="text-align:right;"> 20.08 </td> <td style="text-align:right;"> 19.30 </td> <td style="text-align:right;"> 19.69 </td> </tr> </tbody> </table></div> --- # Indicators <div style="border: 1px solid #ddd; padding: 0px; overflow-y: scroll; height:500px; "><table class="table table-striped table-hover table-condensed" style="font-size: 8px; margin-left: auto; margin-right: auto;"> <thead> <tr> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> Code </th> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> License Type </th> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> Indicator Name </th> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> Short definition </th> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> Long definition </th> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> Source </th> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> Topic </th> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> Dataset </th> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> Unit of measure </th> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> Periodicity </th> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> Aggregation method </th> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> Statistical concept and methodology </th> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> Development relevance </th> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> Limitations and exceptions </th> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> General comments </th> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> Notes from original source </th> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> License URL </th> </tr> </thead> <tbody> <tr> <td style="text-align:left;"> FX.OWN.TOTL.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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+). </td> <td style="text-align:left;"> Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank. </td> <td style="text-align:left;"> Financial Sector: Access </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018). </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> FX.OWN.TOTL.FE.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Account ownership at a financial institution or with a mobile-money-service provider, female (% of population ages 15+) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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 (female, % age 15+). </td> <td style="text-align:left;"> Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank. </td> <td style="text-align:left;"> Financial Sector: Access </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018). </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> FX.OWN.TOTL.MA.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Account ownership at a financial institution or with a mobile-money-service provider, male (% of population ages 15+) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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 (male, % age 15+). </td> <td style="text-align:left;"> Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank. </td> <td style="text-align:left;"> Financial Sector: Access </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018). </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> FX.OWN.TOTL.OL.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Account ownership at a financial institution or with a mobile-money-service provider, older adults (% of population ages 25+) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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 (older adults, % of population ages 25+). </td> <td style="text-align:left;"> Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank. </td> <td style="text-align:left;"> Financial Sector: Access </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018). </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> FX.OWN.TOTL.40.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Account ownership at a financial institution or with a mobile-money-service provider, poorest 40% (% of population ages 15+) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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 (poorest 40%, share of population ages 15+). </td> <td style="text-align:left;"> Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank. </td> <td style="text-align:left;"> Financial Sector: Access </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018). </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> FX.OWN.TOTL.PL.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Account ownership at a financial institution or with a mobile-money-service provider, primary education or less (% of population ages 15+) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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 (primary education or less, % of population ages 15+). </td> <td style="text-align:left;"> Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank. </td> <td style="text-align:left;"> Financial Sector: Access </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018). </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> FX.OWN.TOTL.60.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Account ownership at a financial institution or with a mobile-money-service provider, richest 60% (% of population ages 15+) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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 (richest 60%, share of population ages 15+). </td> <td style="text-align:left;"> Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank. </td> <td style="text-align:left;"> Financial Sector: Access </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018). </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> FX.OWN.TOTL.SO.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Account ownership at a financial institution or with a mobile-money-service provider, secondary education or more (% of population ages 15+) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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 (secondary education or more, % of population ages 15+). </td> <td style="text-align:left;"> Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank. </td> <td style="text-align:left;"> Financial Sector: Access </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018). </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> FX.OWN.TOTL.YG.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Account ownership at a financial institution or with a mobile-money-service provider, young adults (% of population ages 15-24) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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 (young adults, % of population ages 15-24). </td> <td style="text-align:left;"> Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank. </td> <td style="text-align:left;"> Financial Sector: Access </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018). </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.PRM.TENR </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Adjusted net enrollment rate, primary (% of primary school age children) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> Adjusted net enrollment rate in primary education is calculated by dividing the number of children in the official primary school age who are enrolled in primary or secondary education by the population of the same age group and multiplying by 100. Data 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. The 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). </td> <td style="text-align:left;"> Relevance to gender indicator: Women teachers are important as they serve as role models to girls and help to attract and retain girls in school. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.PRM.TENR.FE </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Adjusted net enrollment rate, primary, female (% of primary school age children) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> Adjusted net enrollment rate in primary education is calculated by dividing the number of children in the official primary school age who are enrolled in primary or secondary education by the population of the same age group and multiplying by 100. Data 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. The 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). </td> <td style="text-align:left;"> Relevance to gender indicator: Women teachers are important as they serve as role models to girls and help to attract and retain girls in school. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.PRM.TENR.MA </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Adjusted net enrollment rate, primary, male (% of primary school age children) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> Adjusted net enrollment rate in primary education is calculated by dividing the number of children in the official primary school age who are enrolled in primary or secondary education by the population of the same age group and multiplying by 100. Data 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. The 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). </td> <td style="text-align:left;"> 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. The adjusted net enrollment rate in primary education captures primary school-age children who have progressed to secondary education faster than their peers have and who are not counted in the traditional net enrollment rate. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.SEC.UNER.LO.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Adolescents out of school (% of lower secondary school age) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Adolescents out of school are the percentage of lower secondary school age adolescents who are not enrolled in school. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> The rate of out-of-school adolescents allows to compare across countries with different population sizes. It shows the share of official lower secondary age adolescents who never attended school or dropped out to the population of official lower secondary school age. Data 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. The 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). </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> The administrative data used in the calculation of the rate of out-of-school children are based on enrolment at a specific date which can bias the results by either counting enrolled children who never attend school or by omitting those who enroll after the reference date for reporting enrolment data. Furthermore, children who drop out of school after the reference date are not counted as out of school. Discrepancies between enrolment and population data from different sources can also result in over- or underestimates of the rate. Lastly, the international comparability of this indicator can be affected by the use of different concepts of enrolment and out-of-school children across countries. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.SEC.UNER.LO.FE.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Adolescents out of school, female (% of female lower secondary school age) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Adolescents out of school are the percentage of lower secondary school age adolescents who are not enrolled in school. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> The rate of out-of-school adolescents allows to compare across countries with different population sizes. It shows the share of official lower secondary age adolescents who never attended school or dropped out to the population of official lower secondary school age. Data 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. The 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). </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> The administrative data used in the calculation of the rate of out-of-school children are based on enrolment at a specific date which can bias the results by either counting enrolled children who never attend school or by omitting those who enroll after the reference date for reporting enrolment data. Furthermore, children who drop out of school after the reference date are not counted as out of school. Discrepancies between enrolment and population data from different sources can also result in over- or underestimates of the rate. Lastly, the international comparability of this indicator can be affected by the use of different concepts of enrolment and out-of-school children across countries. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.SEC.UNER.LO.MA.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Adolescents out of school, male (% of male lower secondary school age) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Adolescents out of school are the percentage of lower secondary school age adolescents who are not enrolled in school. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> The rate of out-of-school adolescents allows to compare across countries with different population sizes. It shows the share of official lower secondary age adolescents who never attended school or dropped out to the population of official lower secondary school age. Data 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. The 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). </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> The administrative data used in the calculation of the rate of out-of-school children are based on enrolment at a specific date which can bias the results by either counting enrolled children who never attend school or by omitting those who enroll after the reference date for reporting enrolment data. Furthermore, children who drop out of school after the reference date are not counted as out of school. Discrepancies between enrolment and population data from different sources can also result in over- or underestimates of the rate. Lastly, the international comparability of this indicator can be affected by the use of different concepts of enrolment and out-of-school children across countries. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> FB.ATM.TOTL.P5 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Automated teller machines (ATMs) (per 100,000 adults) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Automated teller machines are computerized telecommunications devices that provide clients of a financial institution with access to financial transactions in a public place. </td> <td style="text-align:left;"> International Monetary Fund, Financial Access Survey. </td> <td style="text-align:left;"> Financial Sector: Access </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Median </td> <td style="text-align:left;"> Data are shown as the total number of ATMs for every 100,000 adults in the reporting country. Calculated as (number of ATMs)*100,000/adult population in the reporting country. </td> <td style="text-align:left;"> Access to finance can expand opportunities for all with higher levels of access and use of banking services associated with lower financing obstacles for people and businesses. A stable financial system that promotes efficient savings and investment is also crucial for a thriving democracy and market economy. There are several aspects of access to financial services: availability, cost, and quality of services. The development and growth of credit markets depend on access to timely, reliable, and accurate data on borrowers' credit experiences. Access to credit can be improved by making it easy to create and enforce collateral agreements and by increasing information about potential borrowers' creditworthiness. Lenders look at a borrower's credit history and collateral. Where credit registries and effective collateral laws are absent - as in many developing countries - banks make fewer loans. Indicators that cover getting credit include the strength of legal rights index and the depth of credit information index. </td> <td style="text-align:left;"> Population-based ratios of the number of branches and ATMs assume a uniform distribution of bank outlets within a country's area and across its population, while in most countries bank branches and ATMs are concentrated in urban centers of the country and are accessible only to some individuals. </td> <td style="text-align:left;"> Country-specific metadata can be found on the IMF’s FAS website (data.imf.org). </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SI.RMT.COST.OB.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Average transaction cost of sending remittances from a specific country (%) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> World Bank, Remittance Prices Worldwide, available at http://remittanceprices.worldbank.org </td> <td style="text-align:left;"> Financial Sector: Access </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Quarterly (represented as Annual) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> Remittance service providers (RSPs) are excluded when they do not disclose the exchange rate applied to the transaction. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SI.RMT.COST.IB.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Average transaction cost of sending remittances to a specific country (%) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> World Bank, Remittance Prices Worldwide, available at http://remittanceprices.worldbank.org </td> <td style="text-align:left;"> Financial Sector: Access </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Quarterly (represented as Annual) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> Remittance service providers (RSPs) are excluded when they do not disclose the exchange rate applied to the transaction </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> FB.CBK.BRWR.P3 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Borrowers from commercial banks (per 1,000 adults) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Borrowers from commercial banks are the reported number of resident customers that are nonfinancial corporations (public and private) and households who obtained loans from commercial banks and other banks functioning as commercial banks. For many countries data cover the total number of loan accounts due to lack of information on loan account holders. </td> <td style="text-align:left;"> International Monetary Fund, Financial Access Survey. </td> <td style="text-align:left;"> Financial Sector: Access </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Median </td> <td style="text-align:left;"> Borrowers from commercial banks denotes the total number of resident customers that are nonfinancial corporations (public and private) and households who obtained loans from commercial banks for every 1,000 adults in the reporting country. It is calculated as (number of borrowers)*1,000/adult population in the reporting country. </td> <td style="text-align:left;"> Access to finance can expand opportunities for all with higher levels of access and use of banking services associated with lower financing obstacles for people and businesses. A stable financial system that promotes efficient savings and investment is also crucial for a thriving democracy and market economy. There are several aspects of access to financial services: availability, cost, and quality of services. The development and growth of credit markets depend on access to timely, reliable, and accurate data on borrowers' credit experiences. Access to credit can be improved by making it easy to create and enforce collateral agreements and by increasing information about potential borrowers' creditworthiness. Lenders look at a borrower's credit history and collateral. Where credit registries and effective collateral laws are absent - as in many developing countries - banks make fewer loans. Indicators that cover getting credit include the strength of legal rights index and the depth of credit information index. </td> <td style="text-align:left;"> For several countries, data cover all borrowers including commercial banks, credit unions and financial cooperatives, deposit taking microfinance institutions, and other deposit takers. These include all resident financial corporations and quasi-corporations (except the central bank) that are mainly engaged in financial intermediation and that issue liabilities included in the national definition of broad money. These institutions have varying names in different countries, such as savings and loan associations, building societies, rural banks and agricultural banks, post office giro institutions, post office savings banks, savings banks, and money market funds. </td> <td style="text-align:left;"> Country-specific metadata can be found on the IMF’s FAS website (data.imf.org). </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.PRM.UNER.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Children out of school (% of primary school age) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Children out of school are the percentage of primary-school-age children who are not enrolled in primary or secondary school. Children in the official primary age group that are in preprimary education should be considered out of school. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> The rate of out-of-school children allows to compare across countries with different population sizes. It shows the share of official primary-school-age children who never attended school or dropped out to the population of official primary school age. Data 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. The 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). </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> The administrative data used in the calculation of the rate of out-of-school children are based on enrolment at a specific date which can bias the results by either counting enrolled children who never attend school or by omitting those who enroll after the reference date for reporting enrolment data. Furthermore, children who drop out of school after the reference date are not counted as out of school. Discrepancies between enrolment and population data from different sources can also result in over- or underestimates of the rate. Lastly, the international comparability of this indicator can be affected by the use of different concepts of enrolment and out-of-school children across countries. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.PRM.UNER.FE.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Children out of school, female (% of female primary school age) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Children out of school are the percentage of primary-school-age children who are not enrolled in primary or secondary school. Children in the official primary age group that are in preprimary education should be considered out of school. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> The rate of out-of-school children allows to compare across countries with different population sizes. It shows the share of official primary-school-age children who never attended school or dropped out to the population of official primary school age. Data 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. The 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). </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> The administrative data used in the calculation of the rate of out-of-school children are based on enrolment at a specific date which can bias the results by either counting enrolled children who never attend school or by omitting those who enroll after the reference date for reporting enrolment data. Furthermore, children who drop out of school after the reference date are not counted as out of school. Discrepancies between enrolment and population data from different sources can also result in over- or underestimates of the rate. Lastly, the international comparability of this indicator can be affected by the use of different concepts of enrolment and out-of-school children across countries. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.PRM.UNER.MA.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Children out of school, male (% of male primary school age) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Children out of school are the percentage of primary-school-age children who are not enrolled in primary or secondary school. Children in the official primary age group that are in preprimary education should be considered out of school. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> The rate of out-of-school children allows to compare across countries with different population sizes. It shows the share of official primary-school-age children who never attended school or dropped out to the population of official primary school age. Data 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. The 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). </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> The administrative data used in the calculation of the rate of out-of-school children are based on enrolment at a specific date which can bias the results by either counting enrolled children who never attend school or by omitting those who enroll after the reference date for reporting enrolment data. Furthermore, children who drop out of school after the reference date are not counted as out of school. Discrepancies between enrolment and population data from different sources can also result in over- or underestimates of the rate. Lastly, the international comparability of this indicator can be affected by the use of different concepts of enrolment and out-of-school children across countries. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.PRM.UNER </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Children out of school, primary </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Children out of school are the number of primary-school-age children not enrolled in primary or secondary school. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> The number of out-of-school children is calculated by subtracting the number of primary school-age children enrolled in primary or secondary school from the total population of the official primary school-age children. Data 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. The 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). </td> <td style="text-align:left;"> Large numbers of children out of school create pressure to enroll children and provide classrooms, teachers, and educational materials, a task made difficult in many countries by limited education budgets. However, getting children into school is a high priority for countries and crucial for achieving universal primary education. </td> <td style="text-align:left;"> Due to different data sources for enrollment and population data, the number may not capture the actual number of children not attending in primary school. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.PRM.UNER.FE </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Children out of school, primary, female </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Children out of school are the number of primary-school-age children not enrolled in primary or secondary school. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> The number of out-of-school children is calculated by subtracting the number of primary school-age children enrolled in primary or secondary school from the total population of the official primary school-age children. Data 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. The 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). </td> <td style="text-align:left;"> Large numbers of children out of school create pressure to enroll children and provide classrooms, teachers, and educational materials, a task made difficult in many countries by limited education budgets. However, getting children into school is a high priority for countries and crucial for achieving universal primary education. </td> <td style="text-align:left;"> Due to different data sources for enrollment and population data, the number may not capture the actual number of children not attending in primary school. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.PRM.UNER.MA </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Children out of school, primary, male </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Children out of school are the number of primary-school-age children not enrolled in primary or secondary school. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> The number of out-of-school children is calculated by subtracting the number of primary school-age children enrolled in primary or secondary school from the total population of the official primary school-age children. Data 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. The 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). </td> <td style="text-align:left;"> Large numbers of children out of school create pressure to enroll children and provide classrooms, teachers, and educational materials, a task made difficult in many countries by limited education budgets. However, getting children into school is a high priority for countries and crucial for achieving universal primary education. </td> <td style="text-align:left;"> Due to different data sources for enrollment and population data, the number may not capture the actual number of children not attending in primary school. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> FB.CBK.BRCH.P5 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Commercial bank branches (per 100,000 adults) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Commercial bank branches are retail locations of resident commercial banks and other resident banks that function as commercial banks that provide financial services to customers and are physically separated from the main office but not organized as legally separated subsidiaries. </td> <td style="text-align:left;"> International Monetary Fund, Financial Access Survey. </td> <td style="text-align:left;"> Financial Sector: Access </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Median </td> <td style="text-align:left;"> Data are shown as the number of branches of commercial banks for every 100,000 adults in the reporting country. It is calculated as (number of institutions + number of branches)*100,000/adult population in the reporting country. </td> <td style="text-align:left;"> Access to finance can expand opportunities for all with higher levels of access and use of banking services associated with lower financing obstacles for people and businesses. A stable financial system that promotes efficient savings and investment is also crucial for a thriving democracy and market economy. There are several aspects of access to financial services: availability, cost, and quality of services. The development and growth of credit markets depend on access to timely, reliable, and accurate data on borrowers' credit experiences. Access to credit can be improved by making it easy to create and enforce collateral agreements and by increasing information about potential borrowers' creditworthiness. Lenders look at a borrower's credit history and collateral. Where credit registries and effective collateral laws are absent - as in many developing countries - banks make fewer loans. Indicators that cover getting credit include the strength of legal rights index and the depth of credit information index. </td> <td style="text-align:left;"> Population-based ratios of the number of branches and ATMs assume a uniform distribution of bank outlets within a country's area and across its population, while in most countries bank branches and ATMs are concentrated in urban centers of the country and are accessible only to some individuals. </td> <td style="text-align:left;"> Country-specific metadata can be found on the IMF’s FAS website (data.imf.org). </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SN.ITK.SALT.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Consumption of iodized salt (% of households) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Percentage of households which have salt they used for cooking that tested positive (>0ppm) for presence of iodine. </td> <td style="text-align:left;"> United Nations Children's Fund, Division of Data, Analysis, Planning and Monitoring (2019). UNICEF Global Databases on Iodized salt, New York, June 2019 </td> <td style="text-align:left;"> Health: Nutrition </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> Most of the data on consumption of iodized salt are derived from household surveys. For the data that are from household surveys, the year refers to the survey year. </td> <td style="text-align:left;"> Iodine deficiency can lead to a variety of health and developmental consequences known as iodine deficiency disorders (IDDs). Iodine deficiency is a major cause of preventable mental retardation. It is especially damaging during pregnancy and in early childhood. In their most severe forms, IDDs can lead to cretinism, stillbirth and miscarriage; even mild deficiency can cause a significant loss of learning ability. Thus, it is crucially important that pregnant women and young children in particular get adequate levels of iodine. IDD can easily be prevented at low cost, however, with small quantities of iodine. One of the best and least expensive methods of preventing iodine deficiency disorder is by simply iodizing table salt, which is currently done in many countries. It represents one of the easiest and most cost-effective interventions for social and economic development. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Iodine deficiency is the single most important cause of preventable mental retardation, contributes significantly to the risk of stillbirth and miscarriage, and increases the incidence of infant mortality. A diet low in iodine is the main cause of iodine deficiency. It usually occurs among populations living in areas where the soil has been depleted of iodine. If soil is deficient in iodine, then so are the plants grown in it, including the grains and vegetables that people and animals consume. There are almost no countries in the world where iodine deficiency has not been a public health problem. Many newborns in low- and middle-income countries remain unprotected from the lifelong consequences of brain damage associated with iodine deficiency disorders, which affect a child's ability to learn and to earn a living as an adult, and in turn prevents children, communities, and countries from fulfilling their potential (UNICEF, www.childinfo.org). Widely used and inexpensive, iodized salt is the best source of iodine, and a global campaign to iodize edible salt is significantly reducing the risks associated with iodine deficiency. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> BN.CAB.XOKA.GD.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Current account balance (% of GDP) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Current account balance is the sum of net exports of goods and services, net primary income, and net secondary income. </td> <td style="text-align:left;"> International Monetary Fund, Balance of Payments Statistics Yearbook and data files, and World Bank and OECD GDP estimates. </td> <td style="text-align:left;"> Economic Policy & Debt: Balance of payments: Current account: Balances </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> BN.CAB.XOKA.CD </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Current account balance (BoP, current US$) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Current account balance is the sum of net exports of goods and services, net primary income, and net secondary income. Data are in current U.S. dollars. </td> <td style="text-align:left;"> International Monetary Fund, Balance of Payments Statistics Yearbook and data files. </td> <td style="text-align:left;"> Economic Policy & Debt: Balance of payments: Current account: Balances </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> The balance of payments (BoP) is a double-entry accounting system that shows all flows of goods and services into and out of an economy; all transfers that are the counterpart of real resources or financial claims provided to or by the rest of the world without a quid pro quo, such as donations and grants; and all changes in residents' claims on and liabilities to nonresidents that arise from economic transactions. All transactions are recorded twice - once as a credit and once as a debit. In principle the net balance should be zero, but in practice the accounts often do not balance, requiring inclusion of a balancing item, net errors and omissions. The concepts and definitions underlying the data are based on the sixth edition of the International Monetary Fund's (IMF) Balance of Payments Manual (BPM6). Balance of payments data for 2005 onward will be presented in accord with the BPM6. The historical BPM5 data series will end with data for 2008, which can be accessed through the World Development Indicators archives. The complete balance of payments methodology can be accessed through the International Monetary Fund website (www.imf.org/external/np/sta/bop/bop.htm). </td> <td style="text-align:left;"> The balance of payments records an economy’s transactions with the rest of the world. Balance of payments accounts are divided into two groups: the current account, which records transactions in goods, services, primary income, and secondary income, and the capital and financial account, which records capital transfers, acquisition or disposal of nonproduced, nonfinancial assets, and transactions in financial assets and liabilities. The current account balance is one of the most analytically useful indicators of an external imbalance. A primary purpose of the balance of payments accounts is to indicate the need to adjust an external imbalance. Where to draw the line for analytical purposes requires a judgment concerning the imbalance that best indicates the need for adjustment. There are a number of definitions in common use for this and related analytical purposes. The trade balance is the difference between exports and imports of goods. From an analytical view it is arbitrary to distinguish goods from services. For example, a unit of foreign exchange earned by a freight company strengthens the balance of payments to the same extent as the foreign exchange earned by a goods exporter. Even so, the trade balance is useful because it is often the most timely indicator of trends in the current account balance. Customs authorities are typically able to provide data on trade in goods long before data on trade in services are available. </td> <td style="text-align:left;"> Discrepancies may arise in the balance of payments because there is no single source for balance of payments data and therefore no way to ensure that the data are fully consistent. Sources include customs data, monetary accounts of the banking system, external debt records, information provided by enterprises, surveys to estimate service transactions, and foreign exchange records. Differences in collection methods - such as in timing, definitions of residence and ownership, and the exchange rate used to value transactions - contribute to net errors and omissions. In addition, smuggling and other illegal or quasi-legal transactions may be unrecorded or misrecorded. </td> <td style="text-align:left;"> Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> FB.CBK.DPTR.P3 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Depositors with commercial banks (per 1,000 adults) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Depositors with commercial banks are the reported number of deposit account holders at commercial banks and other resident banks functioning as commercial banks that are resident nonfinancial corporations (public and private) and households. For many countries data cover the total number of deposit accounts due to lack of information on account holders. The major types of deposits are checking accounts, savings accounts, and time deposits. </td> <td style="text-align:left;"> International Monetary Fund, Financial Access Survey. </td> <td style="text-align:left;"> Financial Sector: Access </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Median </td> <td style="text-align:left;"> Depositors with commercial banks are deposit account holders at commercial banks and other resident banks functioning as commercial banks that are resident nonfinancial corporations (public and private) and households. It is calculated as (number of depositors)*1,000/adult population in the reporting country. The major types of deposits are checking accounts, savings accounts, and time deposits. </td> <td style="text-align:left;"> Access to finance can expand opportunities for all with higher levels of access and use of banking services associated with lower financing obstacles for people and businesses. A stable financial system that promotes efficient savings and investment is also crucial for a thriving democracy and market economy. There are several aspects of access to financial services: availability, cost, and quality of services. The development and growth of credit markets depend on access to timely, reliable, and accurate data on borrowers’ credit experiences. Access to credit can be improved by making it easy to create and enforce collateral agreements and by increasing information about potential borrowers’ creditworthiness. Lenders look at a borrower’s credit history and collateral. Where credit registries and effective collateral laws are absent - as in many developing countries - banks make fewer loans. Indicators that cover getting credit include the strength of legal rights index and the depth of credit information index. </td> <td style="text-align:left;"> Access to finance can expand opportunities for all with higher levels of access and use of banking services associated with lower financing obstacles for people and businesses. A stable financial system that promotes efficient savings and investment is also crucial for a thriving democracy and market economy. There are several aspects of access to financial services: availability, cost, and quality of services. The development and growth of credit markets depend on access to timely, reliable, and accurate data on borrowers' credit experiences. Access to credit can be improved by making it easy to create and enforce collateral agreements and by increasing information about potential borrowers' creditworthiness. Lenders look at a borrower's credit history and collateral. Where credit registries and effective collateral laws are absent - as in many developing countries - banks make fewer loans. Indicators that cover getting credit include the strength of legal rights index and the depth of credit information index. </td> <td style="text-align:left;"> Country-specific metadata can be found on the IMF’s FAS website (data.imf.org). </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.STA.BFED.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Exclusive breastfeeding (% of children under 6 months) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Exclusive breastfeeding refers to the percentage of children less than six months old who are fed breast milk alone (no other liquids) in the past 24 hours. </td> <td style="text-align:left;"> UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys. </td> <td style="text-align:left;"> Health: Nutrition </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> For optimal infant and young child feeding, mothers initiate breastfeeding within one hour of birth, breastfeed exclusively for the first six months, and continue to breastfeed for two years or more while providing nutritionally adequate, safe, and age-appropriate solid, semisolid, and soft foods. Breast milk alone contains all the nutrients, antibodies, hormones, and antioxidants an infant needs to thrive. It protects babies from diarrhea and acute respiratory infections, stimulates their immune systems and response to vaccination, and may confer cognitive benefits. </td> <td style="text-align:left;"> Most of the data on breastfeeding are derived from household surveys. For the data that are from household surveys, the year refers to the survey year. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> DT.DOD.DLXF.CD </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> External debt stocks, long-term (DOD, current US$) </td> <td style="text-align:left;"> Long-term debt is debt that has an original or extended maturity of more than one year. It has three components: public, publicly guaranteed, and private nonguaranteed debt. Data are in current U.S. dollars. </td> <td style="text-align:left;"> Long-term debt is debt that has an original or extended maturity of more than one year. It has three components: public, publicly guaranteed, and private nonguaranteed debt. Data are in current U.S. dollars. </td> <td style="text-align:left;"> World Bank, International Debt Statistics. </td> <td style="text-align:left;"> Economic Policy & Debt: External debt: Debt outstanding </td> <td style="text-align:left;"> International Debt Statistics </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> Data on external debt are gathered through the World Bank's Debtor Reporting System (DRS). Long term debt data are compiled using the countries report on public and publicly guaranteed borrowing on a loan-by-loan basis and private non guaranteed borrowing on an aggregate basis. These data are supplemented by information from major multilateral banks and official lending agencies in major creditor countries. Short-term debt data are gathered from the Quarterly External Debt Statistics (QEDS) database, jointly developed by the World Bank and the IMF and from creditors through the reporting systems of the Bank for International Settlements. Debt data are reported in the currency of repayment and compiled and published in U.S. dollars. End-of-period exchange rates are used for the compilation of stock figures (amount of debt outstanding), and projected debt service and annual average exchange rates are used for the flows. Exchange rates are taken from the IMF's International Financial Statistics. Debt repayable in multiple currencies, goods, or services and debt with a provision for maintenance of the value of the currency of repayment are shown at book value. </td> <td style="text-align:left;"> External indebtedness affects a country's creditworthiness and investor perceptions. Nonreporting countries might have outstanding debt with the World Bank, other international financial institutions, or private creditors. Total debt service is contrasted with countries' ability to obtain foreign exchange through exports of goods, services, primary income, and workers' remittances. Debt ratios are used to assess the sustainability of a country's debt service obligations, but no absolute rules determine what values are too high. Empirical analysis of developing countries' experience and debt service performance shows that debt service difficulties become increasingly likely when the present value of debt reaches 200 percent of exports. Still, what constitutes a sustainable debt burden varies by country. Countries with fast-growing economies and exports are likely to be able to sustain higher debt levels. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> DT.DOD.DPNG.CD </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> External debt stocks, private nonguaranteed (PNG) (DOD, current US$) </td> <td style="text-align:left;"> Private nonguaranteed external debt comprises long-term external obligations of private debtors that are not guaranteed for repayment by a public entity. Data are in current U.S. dollars. </td> <td style="text-align:left;"> Private nonguaranteed external debt comprises long-term external obligations of private debtors that are not guaranteed for repayment by a public entity. Data are in current U.S. dollars. </td> <td style="text-align:left;"> World Bank, International Debt Statistics. </td> <td style="text-align:left;"> Economic Policy & Debt: External debt: Debt outstanding </td> <td style="text-align:left;"> International Debt Statistics </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> Data on external debt are gathered through the World Bank's Debtor Reporting System (DRS). Long term debt data are compiled using the countries report on public and publicly guaranteed borrowing on a loan-by-loan basis and private non guaranteed borrowing on an aggregate basis. These data are supplemented by information from major multilateral banks and official lending agencies in major creditor countries. Short-term debt data are gathered from the Quarterly External Debt Statistics (QEDS) database, jointly developed by the World Bank and the IMF and from creditors through the reporting systems of the Bank for International Settlements. Debt data are reported in the currency of repayment and compiled and published in U.S. dollars. End-of-period exchange rates are used for the compilation of stock figures (amount of debt outstanding), and projected debt service and annual average exchange rates are used for the flows. Exchange rates are taken from the IMF's International Financial Statistics. Debt repayable in multiple currencies, goods, or services and debt with a provision for maintenance of the value of the currency of repayment are shown at book value. </td> <td style="text-align:left;"> External indebtedness affects a country's creditworthiness and investor perceptions. Nonreporting countries might have outstanding debt with the World Bank, other international financial institutions, or private creditors. Total debt service is contrasted with countries' ability to obtain foreign exchange through exports of goods, services, primary income, and workers' remittances. Debt ratios are used to assess the sustainability of a country's debt service obligations, but no absolute rules determine what values are too high. Empirical analysis of developing countries' experience and debt service performance shows that debt service difficulties become increasingly likely when the present value of debt reaches 200 percent of exports. Still, what constitutes a sustainable debt burden varies by country. Countries with fast-growing economies and exports are likely to be able to sustain higher debt levels. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> DT.DOD.DPPG.CD </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> External debt stocks, public and publicly guaranteed (PPG) (DOD, current US$) </td> <td style="text-align:left;"> Public and publicly guaranteed debt comprises long-term external obligations of public debtors, including the national government, Public Corporations, State Owned Enterprises, Development Banks and Other Mixed Enterprises, political subdivisions (or an agency of either), autonomous public bodies, and external obligations of private debtors that are guaranteed for repayment by a public entity. Data are in current U.S. dollars. </td> <td style="text-align:left;"> Public and publicly guaranteed debt comprises long-term external obligations of public debtors, including the national government, Public Corporations, State Owned Enterprises, Development Banks and Other Mixed Enterprises, political subdivisions (or an agency of either), autonomous public bodies, and external obligations of private debtors that are guaranteed for repayment by a public entity. Data are in current U.S. dollars. </td> <td style="text-align:left;"> World Bank, International Debt Statistics. </td> <td style="text-align:left;"> Economic Policy & Debt: External debt: Debt outstanding </td> <td style="text-align:left;"> International Debt Statistics </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> Data on external debt are gathered through the World Bank's Debtor Reporting System (DRS). Long term debt data are compiled using the countries report on public and publicly guaranteed borrowing on a loan-by-loan basis and private non guaranteed borrowing on an aggregate basis. These data are supplemented by information from major multilateral banks and official lending agencies in major creditor countries. Short-term debt data are gathered from the Quarterly External Debt Statistics (QEDS) database, jointly developed by the World Bank and the IMF and from creditors through the reporting systems of the Bank for International Settlements. Debt data are reported in the currency of repayment and compiled and published in U.S. dollars. End-of-period exchange rates are used for the compilation of stock figures (amount of debt outstanding), and projected debt service and annual average exchange rates are used for the flows. Exchange rates are taken from the IMF's International Financial Statistics. Debt repayable in multiple currencies, goods, or services and debt with a provision for maintenance of the value of the currency of repayment are shown at book value. </td> <td style="text-align:left;"> External indebtedness affects a country's creditworthiness and investor perceptions. Nonreporting countries might have outstanding debt with the World Bank, other international financial institutions, or private creditors. Total debt service is contrasted with countries' ability to obtain foreign exchange through exports of goods, services, primary income, and workers' remittances. Debt ratios are used to assess the sustainability of a country's debt service obligations, but no absolute rules determine what values are too high. Empirical analysis of developing countries' experience and debt service performance shows that debt service difficulties become increasingly likely when the present value of debt reaches 200 percent of exports. Still, what constitutes a sustainable debt burden varies by country. Countries with fast-growing economies and exports are likely to be able to sustain higher debt levels. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> DT.DOD.DSTC.CD </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> External debt stocks, short-term (DOD, current US$) </td> <td style="text-align:left;"> Short-term external debt is defined as debt that has an original maturity of one year or less. Available data permit no distinction between public and private nonguaranteed short-term debt. Data are in current U.S. dollars. </td> <td style="text-align:left;"> Short-term external debt is defined as debt that has an original maturity of one year or less. Available data permit no distinction between public and private nonguaranteed short-term debt. Data are in current U.S. dollars. </td> <td style="text-align:left;"> World Bank, International Debt Statistics. </td> <td style="text-align:left;"> Economic Policy & Debt: External debt: Debt outstanding </td> <td style="text-align:left;"> International Debt Statistics </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> Data on external debt are gathered through the World Bank's Debtor Reporting System (DRS). Long term debt data are compiled using the countries report on public and publicly guaranteed borrowing on a loan-by-loan basis and private non guaranteed borrowing on an aggregate basis. These data are supplemented by information from major multilateral banks and official lending agencies in major creditor countries. Short-term debt data are gathered from the Quarterly External Debt Statistics (QEDS) database, jointly developed by the World Bank and the IMF and from creditors through the reporting systems of the Bank for International Settlements. Debt data are reported in the currency of repayment and compiled and published in U.S. dollars. End-of-period exchange rates are used for the compilation of stock figures (amount of debt outstanding), and projected debt service and annual average exchange rates are used for the flows. Exchange rates are taken from the IMF's International Financial Statistics. Debt repayable in multiple currencies, goods, or services and debt with a provision for maintenance of the value of the currency of repayment are shown at book value. </td> <td style="text-align:left;"> External indebtedness affects a country's creditworthiness and investor perceptions. Nonreporting countries might have outstanding debt with the World Bank, other international financial institutions, or private creditors. Total debt service is contrasted with countries' ability to obtain foreign exchange through exports of goods, services, primary income, and workers' remittances. Debt ratios are used to assess the sustainability of a country's debt service obligations, but no absolute rules determine what values are too high. Empirical analysis of developing countries' experience and debt service performance shows that debt service difficulties become increasingly likely when the present value of debt reaches 200 percent of exports. Still, what constitutes a sustainable debt burden varies by country. Countries with fast-growing economies and exports are likely to be able to sustain higher debt levels. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> DT.DOD.DECT.CD </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> External debt stocks, total (DOD, current US$) </td> <td style="text-align:left;"> Total external debt is debt owed to nonresidents repayable in currency, goods, or services. It is the sum of public, publicly guaranteed, and private nonguaranteed long-term debt, short-term debt, and use of IMF credit. Data are in current U.S. dollars. </td> <td style="text-align:left;"> Total external debt is debt owed to nonresidents repayable in currency, goods, or services. Total external debt is the sum of public, publicly guaranteed, and private nonguaranteed long-term debt, use of IMF credit, and short-term debt. Short-term debt includes all debt having an original maturity of one year or less and interest in arrears on long-term debt. Data are in current U.S. dollars. </td> <td style="text-align:left;"> World Bank, International Debt Statistics. </td> <td style="text-align:left;"> Economic Policy & Debt: External debt: Debt outstanding </td> <td style="text-align:left;"> International Debt Statistics </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> Data on external debt are gathered through the World Bank's Debtor Reporting System (DRS). Long term debt data are compiled using the countries report on public and publicly guaranteed borrowing on a loan-by-loan basis and private non guaranteed borrowing on an aggregate basis. These data are supplemented by information from major multilateral banks and official lending agencies in major creditor countries. Short-term debt data are gathered from the Quarterly External Debt Statistics (QEDS) database, jointly developed by the World Bank and the IMF and from creditors through the reporting systems of the Bank for International Settlements. Debt data are reported in the currency of repayment and compiled and published in U.S. dollars. End-of-period exchange rates are used for the compilation of stock figures (amount of debt outstanding), and projected debt service and annual average exchange rates are used for the flows. Exchange rates are taken from the IMF's International Financial Statistics. Debt repayable in multiple currencies, goods, or services and debt with a provision for maintenance of the value of the currency of repayment are shown at book value. </td> <td style="text-align:left;"> External indebtedness affects a country's creditworthiness and investor perceptions. Nonreporting countries might have outstanding debt with the World Bank, other international financial institutions, or private creditors. Total debt service is contrasted with countries' ability to obtain foreign exchange through exports of goods, services, primary income, and workers' remittances. Debt ratios are used to assess the sustainability of a country's debt service obligations, but no absolute rules determine what values are too high. Empirical analysis of developing countries' experience and debt service performance shows that debt service difficulties become increasingly likely when the present value of debt reaches 200 percent of exports. Still, what constitutes a sustainable debt burden varies by country. Countries with fast-growing economies and exports are likely to be able to sustain higher debt levels. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> IT.NET.BBND </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Fixed broadband subscriptions </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database </td> <td style="text-align:left;"> Infrastructure: Communications </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Please cite the International Telecommunication Union for third-party use of these data. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> IT.NET.BBND.P2 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Fixed broadband subscriptions (per 100 people) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database </td> <td style="text-align:left;"> Infrastructure: Communications </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> 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. Fixed 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 </td> <td style="text-align:left;"> 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. Comparable 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. There 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. Access 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. Over 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. </td> <td style="text-align:left;"> 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. Fixed 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. Advertised 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. Discrepancies 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. </td> <td style="text-align:left;"> Please cite the International Telecommunication Union for third-party use of these data. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> IT.MLT.MAIN </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Fixed telephone subscriptions </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Fixed telephone subscriptions refers to the sum of active number of analogue fixed telephone lines, voice-over-IP (VoIP) subscriptions, fixed wireless local loop (WLL) subscriptions, ISDN voice-channel equivalents and fixed public payphones. </td> <td style="text-align:left;"> International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database </td> <td style="text-align:left;"> Infrastructure: Communications </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> A fixed telephone line (previously called main telephone line in operation) is an active line connecting the subscriber's terminal equipment to the public switched telephone network (PSTN) and which has a dedicated port in the telephone exchange equipment. This term is synonymous with the terms main station or Direct Exchange Line (DEL) that are commonly used in telecommunication documents. It may not be the same as an access line or a subscriber. This should include the active number of analog fixed telephone lines, ISDN channels, fixed wireless, public payphones and VoIP subscriptions. Active lines are those that have registered an activity in the past three months. Data on fixed telephone lines 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. Data are considered to be very reliable, timely, and complete. Data 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. 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 </td> <td style="text-align:left;"> 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. Access 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. Fixed telephone lines are those that connect a subscriber's terminal equipment to the public switched telephone network and that have a port on a telephone exchange. This term is synonymous with the term main station or Direct Exchange Line (DEL) that is commonly used in telecommunication documents. Integrated services digital network channels and fixed wireless subscribers are included. A fixed line also refers to a phone which uses a solid medium telephone line such as a metal wire or fiber optic cable for transmission as distinguished from a mobile cellular line which uses radio waves for transmission. Over 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. </td> <td style="text-align:left;"> 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. Discrepancies 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. </td> <td style="text-align:left;"> Please cite the International Telecommunication Union for third-party use of these data. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> IT.MLT.MAIN.P2 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Fixed telephone subscriptions (per 100 people) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Fixed telephone subscriptions refers to the sum of active number of analogue fixed telephone lines, voice-over-IP (VoIP) subscriptions, fixed wireless local loop (WLL) subscriptions, ISDN voice-channel equivalents and fixed public payphones. </td> <td style="text-align:left;"> International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database </td> <td style="text-align:left;"> Infrastructure: Communications </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> A fixed telephone line (previously called main telephone line in operation) is an active line connecting the subscriber's terminal equipment to the public switched telephone network (PSTN) and which has a dedicated port in the telephone exchange equipment. This term is synonymous with the terms main station or Direct Exchange Line (DEL) that are commonly used in telecommunication documents. It may not be the same as an access line or a subscriber. This should include the active number of analog fixed telephone lines, ISDN channels, fixed wireless, public payphones and VoIP subscriptions. Active lines are those that have registered an activity in the past three months. Data on fixed telephone lines 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. Data are considered to be very reliable, timely, and complete. Data 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. Telephone lines (per 100 people) indicator is derived by all telephone lines 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 </td> <td style="text-align:left;"> 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. Access 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. Fixed telephone lines are those that connect a subscriber's terminal equipment to the public switched telephone network and that have a port on a telephone exchange. This term is synonymous with the term main station or Direct Exchange Line (DEL) that is commonly used in telecommunication documents. Integrated services digital network channels and fixed wireless subscribers are included. A fixed line also refers to a phone which uses a solid medium telephone line such as a metal wire or fiber optic cable for transmission as distinguished from a mobile cellular line which uses radio waves for transmission. Over 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. </td> <td style="text-align:left;"> 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. Discrepancies 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. </td> <td style="text-align:left;"> Please cite the International Telecommunication Union for third-party use of these data. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SI.POV.GINI </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> GINI index (World Bank estimate) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm). </td> <td style="text-align:left;"> Poverty: Income distribution </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> % </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. The 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. The distribution data have been adjusted for household size, providing a more consistent measure of per capita income or consumption. No adjustment has been made for spatial differences in cost of living within countries, because the data needed for such calculations are generally unavailable. For further details on the estimation method for low- and middle-income economies, see Ravallion and Chen (1996). Survey year 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 most of the data were collected. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. Another 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. Because 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. World 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. </td> <td style="text-align:left;"> The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> TX.VAL.TECH.MF.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> High-technology exports (% of manufactured exports) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> High-technology exports are products with high R&D intensity, such as in aerospace, computers, pharmaceuticals, scientific instruments, and electrical machinery. </td> <td style="text-align:left;"> United Nations, Comtrade database through the WITS platform. </td> <td style="text-align:left;"> Infrastructure: Technology </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> 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. The 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. High Technology Products List - SITC Rev. 3: 1 Aerospace 7921+7922+7923+7924+7925+79291+79293+(714-71489-71499)+87411 2 Computers-office machines 75113+75131+75132+75134+(752-7529)+75997 3 Electronics-telecommunications 76381+76383+(764-76493-76499) +7722+77261+77318+77625+77627+7763+7764+7768+89879 4 Pharmacy 5413+5415+5416+5421+5422 5 Scientific instruments 774+8711+8713+8714+8719+87211+(874-87411-8742) +88111+88121+88411+88419+89961+89963+89966+89967 6 Electrical machinery 77862+77863+77864+77865+7787+77884 7 Chemistry 52222+52223+52229+52269+525+531+57433+591 8 Non-electrical machinery 71489+71499+71871+71877+71878+72847+7311+73131+73135 +73142+73144+73151+73153+73161+73163+73165 +73312+73314+73316+7359+73733+73735 9 Armament 891 </td> <td style="text-align:left;"> 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. Industries 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. </td> <td style="text-align:left;"> 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). </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> TX.VAL.TECH.CD </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> High-technology exports (current US$) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> High-technology exports are products with high R&D intensity, such as aerospace, computers, pharmaceuticals, scientific instruments, and electrical machinery. Data are in current U.S. dollars. </td> <td style="text-align:left;"> United Nations, Comtrade database through the WITS platform. </td> <td style="text-align:left;"> Infrastructure: Technology </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> High technology products are defined according to SITC Rev.4 as the sum of the following products: Aerospace, Computers-office machines, Electronics-telecommunications, Pharmacy, Scientific instruments, Electrical machinery, Chemistry, Non-electrical machinery, Armament. The following product codes are used: Aerospace: (714 – 71489 -71499)+7921+7922+7924+7925+79291+79293+87411; Computers-office machines: 75194+75195+752+75997; Electronics-communication: 76331+7638+(764-76493-76499)+7722+77261+77318+77625+77627+7763+7764+7768+89844+89846; Pharmacy: 5413+5415+5416+5421+5422; Scientific instruments: 774+871+87211+(874-87411-8742)+88111+88121+88411+88419+(8996-89965-89969); Electrical machinery: (7786-77861-777866-77869)+7787+77884; Chemistry: 52222+52223+52229+52269+525+531+57433+591; Non-electrical machinery: 71489+71499+7187+72847+7311+73131+73135+73142+73144+73151+73153+73161+73163+73165+73312+73314+73316+7359+73733+73735; Armament: 891 The list can also be accessed on the Eurostat website. This list, based on the OECD definition, contains technical products of which the manufacturing involved a high intensity of R&D. The 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. In September 2019 the definition in the World Development Indicators database was updated to SITC Rev.4 from SITC Rev. 3. The data are in current U.S. dollars and are sourced from the UN's Comtrade database. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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). The indicator is based on data reported by countries to COMTRADE. The export values presented in the World Development Indicators represent Gross Exports less Re-Exports. The values may be impacted in cases of reporting errors or missing data, for example if countries do not report Re-Exports for one or more periods. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> DT.DOD.MWBG.CD </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> IBRD loans and IDA credits (DOD, current US$) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> IBRD loans and IDA credits are public and publicly guaranteed debt extended by the World Bank Group. The International Bank for Reconstruction and Development (IBRD) lends at market rates. Credits from the International Development Association (IDA) are at concessional rates. Data are in current U.S. dollars. </td> <td style="text-align:left;"> World Bank, International Debt Statistics. </td> <td style="text-align:left;"> Economic Policy & Debt: External debt: Debt outstanding </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> TX.VAL.ICTG.ZS.UN </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> ICT goods exports (% of total goods exports) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Information and communication technology goods exports include computers and peripheral equipment, communication equipment, consumer electronic equipment, electronic components, and other information and technology goods (miscellaneous). </td> <td style="text-align:left;"> United Nations Conference on Trade and Development's UNCTADstat database at http://unctadstat.unctad.org/ReportFolders/reportFolders.aspx. </td> <td style="text-align:left;"> Infrastructure: Communications </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> Information and communication technology goods exports include computers and peripheral equipment, communication equipment, consumer electronic equipment, electronic components, and other information and technology goods (miscellaneous). Software is generally excluded, as there is a preference to record it under services (not an ICT good but an ICT product) to the extent possible. However it is hard to completely exclude embedded software from certain types of ICT goods, such as video game consoles (see for example the discussion on page 30 of the OECD guide cited below). ICT goods exports as a percentage of total goods exports is calculated for each country by dividing the value of its ICT goods exports by the total value of its goods exports. The result is then multiplied by 100 to be expressed as a percentage. ICT goods are defined according to the OECD’s Guide on Measuring the Information Society 2011 for Harmonized System (HS) 2007 and adapted to HS12 by UNCTAD in collaboration with UNSD (United Nations Statistics Division). This new list consists of 93 goods defined at the 6 digit level of the 2012 version of the HS. The technical note is available online at: http://unctad.org/en/PublicationsLibrary/tn_unctad_ict4d02_en.pdf Data were downloaded from COMTRADE according to the reported classification (HS92, 96, 02, 07, 12) and aggregated into ICT groups by UNCTAD. </td> <td style="text-align:left;"> 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. Comparable 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. For more information see www.itu.int/ITU-D/ict/partnership/. The work of the Partnership is directed towards achieving internationally comparable and reliable ICT statistics. In order to achieve this, its members are involved in developing and maintaining a core list of ICT indicators. Other activities include the compilation and dissemination of ICT data, and the provision of technical assistance enabling statistical agencies to collect data that underlie the core list of ICT indicators. </td> <td style="text-align:left;"> Detailed trade data are widely available from country trade statistics. These are collected by the UNSD and published in their UN COMTRADE database. The ICT goods trade indicators are usually compiled by interested international and national agencies using COMTRADE data. Concepts are therefore consistent with those applying to the COMTRADE database. The main statistical issue associated with this indicator appears to be the different treatment of re-exports and re-imports by countries, depending on whether the Special or General Trade System is used.2 Re-imports are separately reported for some countries and the value of ICT re-imports (which is included in the value of ICT imports for those countries) is generally small. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> TM.VAL.ICTG.ZS.UN </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> ICT goods imports (% total goods imports) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Information and communication technology goods imports include computers and peripheral equipment, communication equipment, consumer electronic equipment, electronic components, and other information and technology goods (miscellaneous). </td> <td style="text-align:left;"> United Nations Conference on Trade and Development's UNCTADstat database at http://unctadstat.unctad.org/ReportFolders/reportFolders.aspx. </td> <td style="text-align:left;"> Infrastructure: Communications </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> Information and communication technology goods imports include computers and peripheral equipment, communication equipment, consumer electronic equipment, electronic components, and other information and technology goods (miscellaneous). Software is generally excluded, as there is a preference to record it under services (not an ICT good but an ICT product) to the extent possible. However it is hard to completely exclude embedded software from certain types of ICT goods, such as video game consoles (see for example the discussion on page 30 of the OECD guide cited below). ICT goods imports as a percentage of total imports is calculated for each country by dividing the value of its ICT goods imports by the total value of its goods imports. The result is then multiplied by 100 to be expressed as a percentage. ICT goods are defined according to the OECD’s Guide on Measuring the Information Society 2011 for Harmonized System (HS) 2007 and adapted to HS12 by UNCTAD in collaboration with UNSD (United Nations Statistics Division). This new list consists of 93 goods defined at the 6 digit level of the 2012 version of the HS. The technical note is available online at: http://unctad.org/en/PublicationsLibrary/tn_unctad_ict4d02_en.pdf Data were downloaded from COMTRADE according to the reported classification (HS92, 96, 02, 07, 12) and aggregated into ICT groups by UNCTAD. </td> <td style="text-align:left;"> 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. Comparable 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. For more information see www.itu.int/ITU-D/ict/partnership/. The work of the Partnership is directed towards achieving internationally comparable and reliable ICT statistics. In order to achieve this, its members are involved in developing and maintaining a core list of ICT indicators. Other activities include the compilation and dissemination of ICT data, and the provision of technical assistance enabling statistical agencies to collect data that underlie the core list of ICT indicators. </td> <td style="text-align:left;"> Detailed trade data are widely available from country trade statistics. These are collected by the UNSD and published in their UN COMTRADE database. The ICT goods trade indicators are usually compiled by interested international and national agencies using COMTRADE data. Concepts are therefore consistent with those applying to the COMTRADE database. The main statistical issue associated with this indicator appears to be the different treatment of re-exports and re-imports by countries, depending on whether the Special or General Trade System is used.2 Re-imports are separately reported for some countries and the value of ICT re-imports (which is included in the value of ICT imports for those countries) is generally small. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> BX.GSR.CCIS.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> ICT service exports (% of service exports, BoP) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Information and communication technology service exports include computer and communications services (telecommunications and postal and courier services) and information services (computer data and news-related service transactions). </td> <td style="text-align:left;"> International Monetary Fund, Balance of Payments Statistics Yearbook and data files. </td> <td style="text-align:left;"> Infrastructure: Communications </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> The balance of payments (BoP) is a double-entry accounting system that shows all flows of goods and services into and out of an economy; all transfers that are the counterpart of real resources or financial claims provided to or by the rest of the world without a quid pro quo, such as donations and grants; and all changes in residents' claims on and liabilities to nonresidents that arise from economic transactions. All transactions are recorded twice - once as a credit and once as a debit. In principle the net balance should be zero, but in practice the accounts often do not balance, requiring inclusion of a balancing item, net errors and omissions. The concepts and definitions underlying the data are based on the sixth edition of the International Monetary Fund's (IMF) Balance of Payments Manual. </td> <td style="text-align:left;"> The balance of payments records an economy's transactions with the rest of the world. Balance of payments accounts are divided into two groups: the current account, which records transactions in goods, services, income, and current transfers, and the capital and financial account, which records capital transfers, acquisition or disposal of non-produced, nonfinancial assets, and transactions in financial assets and liabilities. </td> <td style="text-align:left;"> Discrepancies may arise in the balance of payments because there is no single source for balance of payments data and therefore no way to ensure that the data are fully consistent. Sources include customs data, monetary accounts of the banking system, external debt records, information provided by enterprises, surveys to estimate service transactions, and foreign exchange records. Differences in collection methods - such as in timing, definitions of residence and ownership, and the exchange rate used to value transactions - contribute to net errors and omissions. In addition, smuggling and other illegal or quasi-legal transactions may be unrecorded or misrecorded. </td> <td style="text-align:left;"> Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> BX.GSR.CCIS.CD </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> ICT service exports (BoP, current US$) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Information and communication technology service exports include computer and communications services (telecommunications and postal and courier services) and information services (computer data and news-related service transactions). Data are in current U.S. dollars. </td> <td style="text-align:left;"> International Monetary Fund, Balance of Payments Statistics Yearbook and data files. </td> <td style="text-align:left;"> Infrastructure: Communications </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SI.DST.04TH.20 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Income share held by fourth 20% </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm). </td> <td style="text-align:left;"> Poverty: Income distribution </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> % </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. 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 directly calculate the income or consumption shares by quintile. Otherwise, shares have been estimated from the best available grouped data. The distribution data have been adjusted for household size, providing a more consistent measure of per capita income or consumption. No adjustment has been made for spatial differences in cost of living within countries, because the data needed for such calculations are generally unavailable. For further details on the estimation method for low- and middle-income economies, see Ravallion and Chen (1996). Survey year 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 most of the data were collected. Percentage shares by quintile may not sum to 100 because of rounding. </td> <td style="text-align:left;"> 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 data and the Gini coefficient measure inequality in income or consumption and important indicators for measuring shared prosperity. </td> <td style="text-align:left;"> 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. Besides 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. However, 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. </td> <td style="text-align:left;"> The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SI.DST.10TH.10 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Income share held by highest 10% </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. </td> <td style="text-align:left;"> World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm). </td> <td style="text-align:left;"> Poverty: Income distribution </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> % </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. 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 directly calculate the income or consumption shares by quintile. Otherwise, shares have been estimated from the best available grouped data. The distribution data have been adjusted for household size, providing a more consistent measure of per capita income or consumption. No adjustment has been made for spatial differences in cost of living within countries, because the data needed for such calculations are generally unavailable. For further details on the estimation method for low- and middle-income economies, see Ravallion and Chen (1996). Survey year 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 most of the data were collected. Percentage shares by quintile may not sum to 100 because of rounding. </td> <td style="text-align:left;"> 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 data and the Gini coefficient measure inequality in income or consumption and important indicators for measuring shared prosperity. </td> <td style="text-align:left;"> 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. Besides 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. However, 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. </td> <td style="text-align:left;"> The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SI.DST.05TH.20 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Income share held by highest 20% </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm). </td> <td style="text-align:left;"> Poverty: Income distribution </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> % </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. 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 directly calculate the income or consumption shares by quintile. Otherwise, shares have been estimated from the best available grouped data. The distribution data have been adjusted for household size, providing a more consistent measure of per capita income or consumption. No adjustment has been made for spatial differences in cost of living within countries, because the data needed for such calculations are generally unavailable. For further details on the estimation method for low- and middle-income economies, see Ravallion and Chen (1996). Survey year 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 most of the data were collected. Percentage shares by quintile may not sum to 100 because of rounding. </td> <td style="text-align:left;"> 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 data and the Gini coefficient measure inequality in income or consumption and important indicators for measuring shared prosperity. </td> <td style="text-align:left;"> 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. Besides 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. However, 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. </td> <td style="text-align:left;"> The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SI.DST.FRST.10 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Income share held by lowest 10% </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. </td> <td style="text-align:left;"> World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm). </td> <td style="text-align:left;"> Poverty: Income distribution </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> % </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. 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 directly calculate the income or consumption shares by quintile. Otherwise, shares have been estimated from the best available grouped data. The distribution data have been adjusted for household size, providing a more consistent measure of per capita income or consumption. No adjustment has been made for spatial differences in cost of living within countries, because the data needed for such calculations are generally unavailable. For further details on the estimation method for low- and middle-income economies, see Ravallion and Chen (1996). Survey year 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 most of the data were collected. Percentage shares by quintile may not sum to 100 because of rounding. </td> <td style="text-align:left;"> 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 data and the Gini coefficient measure inequality in income or consumption and important indicators for measuring shared prosperity. </td> <td style="text-align:left;"> 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. Besides 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. However, 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. </td> <td style="text-align:left;"> The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SI.DST.FRST.20 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Income share held by lowest 20% </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm). </td> <td style="text-align:left;"> Poverty: Income distribution </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> % </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. 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 directly calculate the income or consumption shares by quintile. Otherwise, shares have been estimated from the best available grouped data. The distribution data have been adjusted for household size, providing a more consistent measure of per capita income or consumption. No adjustment has been made for spatial differences in cost of living within countries, because the data needed for such calculations are generally unavailable. For further details on the estimation method for low- and middle-income economies, see Ravallion and Chen (1996). Survey year 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 most of the data were collected. Percentage shares by quintile may not sum to 100 because of rounding. </td> <td style="text-align:left;"> 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 data and the Gini coefficient measure inequality in income or consumption and important indicators for measuring shared prosperity. </td> <td style="text-align:left;"> 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. Besides 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. However, 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. </td> <td style="text-align:left;"> The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SI.DST.02ND.20 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Income share held by second 20% </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm). </td> <td style="text-align:left;"> Poverty: Income distribution </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> % </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. 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 directly calculate the income or consumption shares by quintile. Otherwise, shares have been estimated from the best available grouped data. The distribution data have been adjusted for household size, providing a more consistent measure of per capita income or consumption. No adjustment has been made for spatial differences in cost of living within countries, because the data needed for such calculations are generally unavailable. For further details on the estimation method for low- and middle-income economies, see Ravallion and Chen (1996). Survey year 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 most of the data were collected. Percentage shares by quintile may not sum to 100 because of rounding. </td> <td style="text-align:left;"> 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 data and the Gini coefficient measure inequality in income or consumption and important indicators for measuring shared prosperity. </td> <td style="text-align:left;"> 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. Besides 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. However, 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. </td> <td style="text-align:left;"> The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SI.DST.03RD.20 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Income share held by third 20% </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm). </td> <td style="text-align:left;"> Poverty: Income distribution </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> % </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. 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 directly calculate the income or consumption shares by quintile. Otherwise, shares have been estimated from the best available grouped data. The distribution data have been adjusted for household size, providing a more consistent measure of per capita income or consumption. No adjustment has been made for spatial differences in cost of living within countries, because the data needed for such calculations are generally unavailable. For further details on the estimation method for low- and middle-income economies, see Ravallion and Chen (1996). Survey year 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 most of the data were collected. Percentage shares by quintile may not sum to 100 because of rounding. </td> <td style="text-align:left;"> 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 data and the Gini coefficient measure inequality in income or consumption and important indicators for measuring shared prosperity. </td> <td style="text-align:left;"> 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. Besides 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. However, 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. </td> <td style="text-align:left;"> The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> IT.NET.USER.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Individuals using the Internet (% of population) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database </td> <td style="text-align:left;"> Infrastructure: Communications </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> 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 </td> <td style="text-align:left;"> 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. Today'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. Comparable 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. </td> <td style="text-align:left;"> 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. 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. </td> <td style="text-align:left;"> Please cite the International Telecommunication Union for third-party use of these data. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> IP.IDS.NRCT </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Industrial design applications, nonresident, by count </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Industrial design applications are applications to register an industrial design with a national or regional Intellectual Property (IP) offices and designations received by relevant offices through the Hague System. Industrial designs are applied to a wide variety of industrial products and handicrafts. They refer to the ornamental or aesthetic aspects of a useful article, including compositions of lines or colors or any three-dimensional forms that give a special appearance to a product or handicraft. The holder of a registered industrial design has exclusive rights against unauthorized copying or imitation of the design by third parties. Industrial design registrations are valid for a limited period. The term of protection is usually 15 years for most jurisdictions. However, differences in legislation do exist, notably in China (which provides for a 10-year term from the application date). Non-resident application refers to an application filed with the IP office of or acting on behalf of a state or jurisdiction in which the first-named applicant in the application is not domiciled. Design count is used to render application data for industrial applications across offices comparable, as some offices follow a single-class/single-design filing system while other have a multiple class/design filing system. </td> <td style="text-align:left;"> World Intellectual Property Organization (WIPO), Statistics Database at www.wipo.int/ipstats/. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data. </td> <td style="text-align:left;"> Infrastructure: Technology </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> An industrial design right protects only the appearance or aesthetic features of a product, whereas a patent protects an invention that offers a new technical solution to a problem. In principle, an industrial design right does not protect the technical or functional features of a product. Industrial design registrations are valid for a limited period. The term of protection is usually 15 years for most jurisdictions. However, differences in legislation do exist, notably in China (which provides for a 10-year term from the application date). Data are based on information supplied to World Intellectual Property Organization (WIPO) by IP offices in annual surveys, supplemented by data in national IP office reports. Data may be missing for some offices or periods. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> IP.IDS.RSCT </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Industrial design applications, resident, by count </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Industrial design applications are applications to register an industrial design with a national or regional Intellectual Property (IP) offices and designations received by relevant offices through the Hague System. Industrial designs are applied to a wide variety of industrial products and handicrafts. They refer to the ornamental or aesthetic aspects of a useful article, including compositions of lines or colors or any three-dimensional forms that give a special appearance to a product or handicraft. The holder of a registered industrial design has exclusive rights against unauthorized copying or imitation of the design by third parties. Industrial design registrations are valid for a limited period. The term of protection is usually 15 years for most jurisdictions. However, differences in legislation do exist, notably in China (which provides for a 10-year term from the application date). Resident application refers to an application filed with the IP office of or acting on behalf of the state or jurisdiction in which the first-named applicant in the application has residence. Design count is used to render application data for industrial applications across offices comparable, as some offices follow a single-class/single-design filing system while other have a multiple class/design filing system. </td> <td style="text-align:left;"> World Intellectual Property Organization (WIPO), Statistics Database at www.wipo.int/ipstats/. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data. </td> <td style="text-align:left;"> Infrastructure: Technology </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> An industrial design right protects only the appearance or aesthetic features of a product, whereas a patent protects an invention that offers a new technical solution to a problem. In principle, an industrial design right does not protect the technical or functional features of a product. Industrial design registrations are valid for a limited period. The term of protection is usually 15 years for most jurisdictions. However, differences in legislation do exist, notably in China (which provides for a 10-year term from the application date). Data are based on information supplied to World Intellectual Property Organization (WIPO) by IP offices in annual surveys, supplemented by data in national IP office reports. Data may be missing for some offices or periods. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SP.DYN.LE00.FE.IN </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Life expectancy at birth, female (years) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> (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. </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> 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. High 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SP.DYN.LE00.MA.IN </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Life expectancy at birth, male (years) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> (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. </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> 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. High 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SP.DYN.LE00.IN </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Life expectancy at birth, total (years) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> (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. </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> 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. High 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.STA.BRTW.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Low-birthweight babies (% of births) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Low-birthweight babies are newborns weighing less than 2,500 grams, with the measurement taken within the first hour of life, before significant postnatal weight loss has occurred. </td> <td style="text-align:left;"> UNICEF-WHO Low birthweight estimates [data.unicef.org] </td> <td style="text-align:left;"> Health: Nutrition </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> Model methods are used based on availability of country input data. Country input data included: (i) estimates from administrative sources representing =90 per cent of live births labelled as high coverage; (ii) estimates from administrative sources representing 80 to <90 per cent of live births labelled as medium coverage; and (iii) estimates from household surveys adjusted for missing birthweights and heaping. The model methods applied were: b-spline: data for countries with =8 data points from high coverage administrative sources with =1 prior to 2005 and =1 more recent than 2010, were smoothed with b-spline regression to generate annual LBW prevalence estimates that followed country-reported estimates very closely. Hierarchical regression: data for countries not meeting requirements for b-spline but with =1 LBW country input data point were fitted into a model using a set of covariates to generate annual LBW prevalence estimates. The covariates included the natural log of neonatal mortality rate; the proportion of children underweight (weight for-age z score below minus two standard deviations from median weight for age of reference population); data type (high coverage administrative, low coverage administrative, household survey); UN region (e.g., Southern Asia, Caribbean); and a country-specific random effect.). These estimates may vary substantially from those reported by countries. Partial data: the estimate is based on only partial data for the most recent survey, therefore modelled estimates not shown for the individual country. </td> <td style="text-align:left;"> Low birth-weight, which is associated with maternal malnutrition, raises the risk of infant mortality and stunts growth in infancy and childhood. There is also emerging evidence that low-birth-weight babies are more prone to non-communicable diseases such as diabetes and cardiovascular diseases. Low birth-weight can arise as a result of a baby being born too soon or too small for gestational age. Babies born prematurely, who are also small for their gestational age, have the worst prognosis. In low- and middle-income countries low birth-weight stems primarily from poor maternal health and nutrition. Three factors have the most impact: poor maternal nutritional status before conception, mother's short stature (due mostly to under-nutrition and infections during childhood), and poor nutrition during pregnancy (UNICEF Data, https://data.unicef.org/). </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> For further details on methods, please refer to the following: Blencowe H, Krasevec J, de Onis M, Black R E, An X, Stevens G A, Borghi E, Hayashi C, Estevez D, Cegolon L, Shiekh S, Hardy V P, Lawn J E, Cousens S. National, regional, and worldwide estimates of low birthweight in 2015, with trends from 2000: a systematic analysis. </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> IT.CEL.SETS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Mobile cellular subscriptions </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database </td> <td style="text-align:left;"> Infrastructure: Communications </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> 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. Data 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. Data 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. 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 </td> <td style="text-align:left;"> 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. Access 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. Mobile 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. Over 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. </td> <td style="text-align:left;"> 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. Discrepancies 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. Mobile 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. </td> <td style="text-align:left;"> Please cite the International Telecommunication Union for third-party use of these data. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> IT.CEL.SETS.P2 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Mobile cellular subscriptions (per 100 people) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database </td> <td style="text-align:left;"> Infrastructure: Communications </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> 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. Data 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. Data 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. Mobile 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 </td> <td style="text-align:left;"> 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. Access 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. Mobile 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. Over 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. </td> <td style="text-align:left;"> 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. Discrepancies 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. Mobile 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. </td> <td style="text-align:left;"> Please cite the International Telecommunication Union for third-party use of these data. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.STA.TRAF.P5 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Mortality caused by road traffic injury (per 100,000 population) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population. </td> <td style="text-align:left;"> World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/). </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> This is the Sustainable Development Goal indicator 3.6.1 [https://unstats.un.org/sdgs/metadata/]. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.DYN.NCOM.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70 (%) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS). </td> <td style="text-align:left;"> World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/). </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> This is the Sustainable Development Goal indicator 3.4.1 [https://unstats.un.org/sdgs/metadata/]. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.DYN.NCOM.FE.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70, female (%) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS). </td> <td style="text-align:left;"> World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/). </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> This is a sex-disaggregated indicator for Sustainable Development Goal 3.4.1 [https://unstats.un.org/sdgs/metadata/]. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.DYN.NCOM.MA.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70, male (%) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS). </td> <td style="text-align:left;"> World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/). </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> This is a sex-disaggregated indicator for Sustainable Development Goal 3.4.1 [https://unstats.un.org/sdgs/metadata/]. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.STA.AIRP.P5 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Mortality rate attributed to household and ambient air pollution, age-standardized (per 100,000 population) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years). </td> <td style="text-align:left;"> World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/). </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> Burden of disease (or in the present case attributable mortality) is calculated by first combining information on the increased (or relative) risk of a disease resulting from exposure, with information on how widespread the exposure is in the population (e.g. the annual mean concentration of particulate matter to which the population is exposed). This allows calculation of the 'population attributable fraction' (PAF), which is the fraction of disease seen in a given population that can be attributed to the exposure (e.g in this case the annual mean concentration of particulate matter). Applying this fraction to the total burden of disease (e.g. cardiopulmonary disease expressed as deaths or DALYs), gives the total number of deaths or DALYs that results from exposure to that particular risk factor (in the example given above, to ambient air pollution). To estimate the combined effects of risk factors, a joint population attributable fraction is calculated, as described in Ezzati et al (2003). </td> <td style="text-align:left;"> Air pollution is one of the biggest environmental risks to health. According to the World Health Organization, the combined effects of ambient (outdoor) and household air pollution cause about 7 million premature deaths every year. Most deaths occur due to increased mortality from stroke, heart disease, chronic obstructive pulmonary disease, lung cancer and acute respiratory infections. The majority of the burden is borne by populations in low and middle income countries. </td> <td style="text-align:left;"> Estimates of the joint effects of air pollution are constrained by limited knowledge on the distribution of the population exposed to both household and ambient air pollution, correlation of exposures at individual level as household air pollution is a contributor to ambient air pollution, and non-linear interactions </td> <td style="text-align:left;"> This is the Sustainable Development Goal indicator 3.9.1 [https://unstats.un.org/sdgs/metadata/]. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.STA.AIRP.FE.P5 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Mortality rate attributed to household and ambient air pollution, age-standardized, female (per 100,000 female population) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years). </td> <td style="text-align:left;"> World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/). </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> Burden of disease (or in the present case attributable mortality) is calculated by first combining information on the increased (or relative) risk of a disease resulting from exposure, with information on how widespread the exposure is in the population (e.g. the annual mean concentration of particulate matter to which the population is exposed). This allows calculation of the 'population attributable fraction' (PAF), which is the fraction of disease seen in a given population that can be attributed to the exposure (e.g in this case the annual mean concentration of particulate matter). Applying this fraction to the total burden of disease (e.g. cardiopulmonary disease expressed as deaths or DALYs), gives the total number of deaths or DALYs that results from exposure to that particular risk factor (in the example given above, to ambient air pollution). To estimate the combined effects of risk factors, a joint population attributable fraction is calculated, as described in Ezzati et al (2003). </td> <td style="text-align:left;"> Air pollution is one of the biggest environmental risks to health. According to the World Health Organization, the combined effects of ambient (outdoor) and household air pollution cause about 7 million premature deaths every year. Most deaths occur due to increased mortality from stroke, heart disease, chronic obstructive pulmonary disease, lung cancer and acute respiratory infections. The majority of the burden is borne by populations in low and middle income countries. </td> <td style="text-align:left;"> Estimates of the joint effects of air pollution are constrained by limited knowledge on the distribution of the population exposed to both household and ambient air pollution, correlation of exposures at individual level as household air pollution is a contributor to ambient air pollution, and non-linear interactions </td> <td style="text-align:left;"> This is a sex-disaggregated indicator for Sustainable Development Goal 3.9.1 [https://unstats.un.org/sdgs/metadata/]. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.STA.AIRP.MA.P5 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Mortality rate attributed to household and ambient air pollution, age-standardized, male (per 100,000 male population) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years). </td> <td style="text-align:left;"> World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/). </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> Burden of disease (or in the present case attributable mortality) is calculated by first combining information on the increased (or relative) risk of a disease resulting from exposure, with information on how widespread the exposure is in the population (e.g. the annual mean concentration of particulate matter to which the population is exposed). This allows calculation of the 'population attributable fraction' (PAF), which is the fraction of disease seen in a given population that can be attributed to the exposure (e.g in this case the annual mean concentration of particulate matter). Applying this fraction to the total burden of disease (e.g. cardiopulmonary disease expressed as deaths or DALYs), gives the total number of deaths or DALYs that results from exposure to that particular risk factor (in the example given above, to ambient air pollution). To estimate the combined effects of risk factors, a joint population attributable fraction is calculated, as described in Ezzati et al (2003). </td> <td style="text-align:left;"> Air pollution is one of the biggest environmental risks to health. According to the World Health Organization, the combined effects of ambient (outdoor) and household air pollution cause about 7 million premature deaths every year. Most deaths occur due to increased mortality from stroke, heart disease, chronic obstructive pulmonary disease, lung cancer and acute respiratory infections. The majority of the burden is borne by populations in low and middle income countries. </td> <td style="text-align:left;"> Estimates of the joint effects of air pollution are constrained by limited knowledge on the distribution of the population exposed to both household and ambient air pollution, correlation of exposures at individual level as household air pollution is a contributor to ambient air pollution, and non-linear interactions </td> <td style="text-align:left;"> This is a sex-disaggregated indicator for Sustainable Development Goal 3.9.1 [https://unstats.un.org/sdgs/metadata/]. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.STA.POIS.P5 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Mortality rate attributed to unintentional poisoning (per 100,000 population) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Mortality rate attributed to unintentional poisonings is the number of deaths from unintentional poisonings in a year per 100,000 population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure. </td> <td style="text-align:left;"> World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/). </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Mortality rates due to unintentional poisoning remains relatively high in low income countries. This indicator implicates inadequate management of hazardous chemicals and pollution, and of the effectiveness of a country’s health system. </td> <td style="text-align:left;"> Some countries do not have death registration data or sample registration systems. The estimates on this indicator need to be completed with other type of information for these countries. </td> <td style="text-align:left;"> This is the Sustainable Development Goal indicator 3.9.3[https://unstats.un.org/sdgs/metadata/]. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.STA.POIS.P5.FE </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Mortality rate attributed to unintentional poisoning, female (per 100,000 female population) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Mortality rate attributed to unintentional poisonings is the number of female deaths from unintentional poisonings in a year per 100,000 female population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure. </td> <td style="text-align:left;"> World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/). </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Mortality rates due to unintentional poisoning remains relatively high in low income countries. This indicator implicates inadequate management of hazardous chemicals and pollution, and of the effectiveness of a country’s health system. </td> <td style="text-align:left;"> Some countries do not have death registration data or sample registration systems. The estimates on this indicator need to be completed with other type of information for these countries. </td> <td style="text-align:left;"> This is a sex-disaggregated indicator for Sustainable Development Goal 3.9.3[https://unstats.un.org/sdgs/metadata/]. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.STA.POIS.P5.MA </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Mortality rate attributed to unintentional poisoning, male (per 100,000 male population) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Mortality rate attributed to unintentional poisonings is the number of male deaths from unintentional poisonings in a year per 100,000 male population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure. </td> <td style="text-align:left;"> World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/). </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Mortality rates due to unintentional poisoning remains relatively high in low income countries. This indicator implicates inadequate management of hazardous chemicals and pollution, and of the effectiveness of a country’s health system. </td> <td style="text-align:left;"> Some countries do not have death registration data or sample registration systems. The estimates on this indicator need to be completed with other type of information for these countries. </td> <td style="text-align:left;"> This is a sex-disaggregated indicator for Sustainable Development Goal 3.9.3[https://unstats.un.org/sdgs/metadata/]. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.STA.WASH.P5 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (per 100,000 population) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account. </td> <td style="text-align:left;"> World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/). </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Unsafe drinking water, unsafe sanitation and lack of hygiene are important causes of death. Most diarrheal deaths in the world are caused by unsafe water, sanitation or hygiene. According to the World Health Organization, in addition to diarrea, the following diseases could be prevented if adequate WASH services are provided: malnutrition, intestinal nematode infections, lymphatic filariasis, trachoma, schistosomiasis and malaria. </td> <td style="text-align:left;"> Some countries do not have death registration data or sample registration systems. The estimates on this indicator need to be completed with other type of information for these countries. </td> <td style="text-align:left;"> This is the Sustainable Development Goal indicator 3.9.2[https://unstats.un.org/sdgs/metadata/]. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SP.DYN.AMRT.FE </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Mortality rate, adult, female (per 1,000 female adults) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Adult mortality rate, female, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old female dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages. </td> <td style="text-align:left;"> (1) United Nations Population Division. World Population Prospects: 2019 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database. </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> 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. Where reliable age-specific mortality data are available, life tables can be constructed from age-specific mortality data, and adult mortality rates can be calculated from life tables. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> Data from United Nations Population Division's World Populaton Prospects are originally 5-year period data and the presented are linearly interpolated by the World Bank for annual series. Therefore they may not reflect real events as much as observed data. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SP.DYN.AMRT.MA </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Mortality rate, adult, male (per 1,000 male adults) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Adult mortality rate, male, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old male dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages. </td> <td style="text-align:left;"> (1) United Nations Population Division. World Population Prospects: 2019 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database. </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> 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. Where reliable age-specific mortality data are available, life tables can be constructed from age-specific mortality data, and adult mortality rates can be calculated from life tables. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> Data from United Nations Population Division's World Populaton Prospects are originally 5-year period data and the presented are linearly interpolated by the World Bank for annual series. Therefore they may not reflect real events as much as observed data. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SP.DYN.IMRT.IN </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Mortality rate, infant (per 1,000 live births) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year. </td> <td style="text-align:left;"> Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org. </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> 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. Estimates 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. Aggregate 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SP.DYN.IMRT.FE.IN </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Mortality rate, infant, female (per 1,000 live births) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female live births in a given year. </td> <td style="text-align:left;"> Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org. </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> 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. Estimates 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. Aggregate 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SP.DYN.IMRT.MA.IN </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Mortality rate, infant, male (per 1,000 live births) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male live births in a given year. </td> <td style="text-align:left;"> Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org. </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> 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. Estimates 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. Aggregate 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.DYN.NMRT </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Mortality rate, neonatal (per 1,000 live births) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given year. </td> <td style="text-align:left;"> Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org. </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> 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. Estimates 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. Aggregate 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. This is the Sustainable Development Goal indicator 3.2.2 [https://unstats.un.org/sdgs/metadata/]. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.DYN.MORT </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Mortality rate, under-5 (per 1,000 live births) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org. </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> 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. Estimates 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. Aggregate 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. This is the Sustainable Development Goal indicator 3.2.1[https://unstats.un.org/sdgs/metadata/]. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.DYN.MORT.FE </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Mortality rate, under-5, female (per 1,000 live births) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org. </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> 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. Estimates 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. Aggregate 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. This is a sex-disaggregated indicator for Sustainable Development Goal 3.2.1 [https://unstats.un.org/sdgs/metadata/]. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.DYN.MORT.MA </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Mortality rate, under-5, male (per 1,000 live births) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org. </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> 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. Estimates 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. Aggregate 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. This is a sex-disaggregated indicator for Sustainable Development Goal 3.2.1 [https://unstats.un.org/sdgs/metadata/]. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> BN.GSR.MRCH.CD </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Net trade in goods (BoP, current US$) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Net trade in goods is the difference between exports and imports of goods. Trade in services is not included. Data are in current U.S. dollars. </td> <td style="text-align:left;"> International Monetary Fund, Balance of Payments Statistics Yearbook and data files. </td> <td style="text-align:left;"> Economic Policy & Debt: Balance of payments: Current account: Balances </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> BN.GSR.GNFS.CD </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Net trade in goods and services (BoP, current US$) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Net trade in goods and services is derived by offsetting imports of goods and services against exports of goods and services. Exports and imports of goods and services comprise all transactions involving a change of ownership of goods and services between residents of one country and the rest of the world. Data are in current U.S. dollars. </td> <td style="text-align:left;"> International Monetary Fund, Balance of Payments Statistics Yearbook and data files. </td> <td style="text-align:left;"> Economic Policy & Debt: Balance of payments: Current account: Balances </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.DTH.1014 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Number of deaths ages 10-14 years </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Number of deaths of adolescents ages 10-14 years </td> <td style="text-align:left;"> Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org. </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Aggregate 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.DTH.1519 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Number of deaths ages 15-19 years </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Number of deaths of adolescents ages 15-19 years </td> <td style="text-align:left;"> Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org. </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Aggregate 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.DTH.2024 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Number of deaths ages 20-24 years </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Number of deaths of youths ages 20-24 years </td> <td style="text-align:left;"> Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org. </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Aggregate 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.DTH.0509 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Number of deaths ages 5-9 years </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Number of deaths of children ages 5-9 years </td> <td style="text-align:left;"> Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org. </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Aggregate 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.DTH.IMRT </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Number of infant deaths </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Number of infants dying before reaching one year of age. </td> <td style="text-align:left;"> Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org. </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Aggregate 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.DTH.NMRT </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Number of neonatal deaths </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Number of neonates dying before reaching 28 days of age. </td> <td style="text-align:left;"> Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org. </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Aggregate 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. This indicator is related to Sustainable Development Goal 3.2.2 [https://unstats.un.org/sdgs/metadata/]. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.DTH.MORT </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Number of under-five deaths </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Number of children dying before reaching age five. </td> <td style="text-align:left;"> Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org. </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Aggregate 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> IP.PAT.NRES </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Patent applications, nonresidents </td> <td style="text-align:left;"> Patent applications are worldwide patent applications filed through the Patent Cooperation Treaty procedure or with a national patent office. </td> <td style="text-align:left;"> Patent applications are worldwide patent applications filed through the Patent Cooperation Treaty procedure or with a national patent office for exclusive rights for an invention--a product or process that provides a new way of doing something or offers a new technical solution to a problem. A patent provides protection for the invention to the owner of the patent for a limited period, generally 20 years. </td> <td style="text-align:left;"> World Intellectual Property Organization (WIPO), WIPO Patent Report: Statistics on Worldwide Patent Activity. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data. </td> <td style="text-align:left;"> Infrastructure: Technology </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> Non-resident patent applications are from applicants outside the relevant State or region. Patent data cover applications and grants classified by field of technology. International applications series distinguish four subcategories: a) patents taken out by residents of a country in that country; b) patents taken out in a country by non-residents of that country; c) total patents registered in the country or naming it; d) patents taken out outside a country by its residents. Data on patents granted only distinguish between patents awarded to residents and to non-residents. A patent provides protection for the invention to the owner of the patent for a limited period, generally 20 years. Patent applications are worldwide patent applications filed through the Patent Cooperation Treaty procedure or with a national patent office for exclusive rights for an invention - a product or process that provides a new way of doing something or offers a new technical solution to a problem. </td> <td style="text-align:left;"> The Patent Cooperation Treaty (www.wipo.int/pct) provides a two phase system for filing patent. International applications under the treaty provide for a national patent grant only - there is no international patent. The national filing represents the applicant's seeking of patent protection for a given territory, whereas international filings, while representing a legal right, do not accurately reflect where patent protection is sought. Resident filings are those from residents of the country concerned. Nonresident filings are from applicants abroad. For regional offices applications from residents of any member state of the regional patent convention are considered nonresident filings. Some offices (notably the U.S. Patent and Trademark Office) use the residence of the inventor rather than the applicant to classify filings. Patent data are a great resource for the study of technical change in a country or region. Patent data provide a uniquely detailed source of information on inventive activity and the multiple dimensions of the inventive process (e.g. geographical location, technical and institutional origin, individuals and networks). Furthermore, patent data form a consistent basis for comparisons across time and across countries. Patent data can be used in the analysis of a wide array of topics related to technical change and patenting activity including industry-science linkages, patenting strategies by companies, internationalization of research, and indicators on the value of patents. Patent-based statistics reflect the inventive performance of countries, regions and firms, as well as other aspects of the dynamics of the innovation process such as co-operation in innovation or technology paths. </td> <td style="text-align:left;"> A patent is an exclusive right granted for a specified period (generally 20 years) for a new way of doing something or a new technical solution to a problem - an invention. The invention must be of practical use and display a characteristic unknown in the existing body of knowledge in its field. Most countries have systems to protect patentable inventions. Unless otherwise stated, statistics on the number of resident and non-resident patent applications include those filed via the PCT system as PCT national/regional phase entries. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> IP.PAT.RESD </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Patent applications, residents </td> <td style="text-align:left;"> Patent applications are worldwide patent applications filed through the Patent Cooperation Treaty procedure or with a national patent office. </td> <td style="text-align:left;"> Patent applications are worldwide patent applications filed through the Patent Cooperation Treaty procedure or with a national patent office for exclusive rights for an invention--a product or process that provides a new way of doing something or offers a new technical solution to a problem. A patent provides protection for the invention to the owner of the patent for a limited period, generally 20 years. </td> <td style="text-align:left;"> World Intellectual Property Organization (WIPO), WIPO Patent Report: Statistics on Worldwide Patent Activity. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data. </td> <td style="text-align:left;"> Infrastructure: Technology </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> Resident patent applications are those for which the first-named applicant or assignee is a resident of the State or region concerned. In the case of regional offices such as the European Patent Office, a resident is an applicant from any of the member States of the regional patent convention. Patent data cover applications and grants classified by field of technology. International applications series distinguish four subcategories: a) patents taken out by residents of a country in that country; b) patents taken out in a country by non-residents of that country; c) total patents registered in the country or naming it; d) patents taken out outside a country by its residents. Data on patents granted only distinguish between patents awarded to residents and to non-residents. A patent provides protection for the invention to the owner of the patent for a limited period, generally 20 years. Patent applications are worldwide patent applications filed through the Patent Cooperation Treaty procedure or with a national patent office for exclusive rights for an invention - a product or process that provides a new way of doing something or offers a new technical solution to a problem. </td> <td style="text-align:left;"> The Patent Cooperation Treaty (www.wipo.int/pct) provides a two phase system for filing patent. International applications under the treaty provide for a national patent grant only - there is no international patent. The national filing represents the applicant's seeking of patent protection for a given territory, whereas international filings, while representing a legal right, do not accurately reflect where patent protection is sought. Resident filings are those from residents of the country concerned. Nonresident filings are from applicants abroad. For regional offices applications from residents of any member state of the regional patent convention are considered nonresident filings. Some offices (notably the U.S. Patent and Trademark Office) use the residence of the inventor rather than the applicant to classify filings. Patent data are a great resource for the study of technical change in a country or region. Patent data provide a uniquely detailed source of information on inventive activity and the multiple dimensions of the inventive process (e.g. geographical location, technical and institutional origin, individuals and networks). Furthermore, patent data form a consistent basis for comparisons across time and across countries. Patent data can be used in the analysis of a wide array of topics related to technical change and patenting activity including industry-science linkages, patenting strategies by companies, internationalization of research, and indicators on the value of patents. Patent-based statistics reflect the inventive performance of countries, regions and firms, as well as other aspects of the dynamics of the innovation process such as co-operation in innovation or technology paths. </td> <td style="text-align:left;"> A patent is an exclusive right granted for a specified period (generally 20 years) for a new way of doing something or a new technical solution to a problem - an invention. The invention must be of practical use and display a characteristic unknown in the existing body of knowledge in its field. Most countries have systems to protect patentable inventions. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> DT.DOD.MIBR.CD </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> PPG, IBRD (DOD, current US$) </td> <td style="text-align:left;"> Public and publicly guaranteed debt outstanding from the International Bank for Reconstruction and Development (IBRD) is nonconcessional. Nonconcessional debt excludes loans with an original grant element of 35 percent or more. Data are in current U.S. dollars. </td> <td style="text-align:left;"> Public and publicly guaranteed debt outstanding from the International Bank for Reconstruction and Development (IBRD) is nonconcessional. Nonconcessional debt excludes loans with an original grant element of 35 percent or more. Data are in current U.S. dollars. </td> <td style="text-align:left;"> World Bank, International Debt Statistics. </td> <td style="text-align:left;"> Economic Policy & Debt: External debt: Debt outstanding </td> <td style="text-align:left;"> International Debt Statistics </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> DT.DOD.MIDA.CD </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> PPG, IDA (DOD, current US$) </td> <td style="text-align:left;"> Public and publicly guaranteed debt outstanding from the International Development Association (IDA) is concessional. Concessional debt is defined as loans with an original grant element of 35 percent or more. The grant element of a loan is the grant equivalent expressed as a percentage of the amount committed. It is used as a measure of the overall cost of borrowing. The grant equivalent of a loan is its commitment (present) value, less the discounted present value of its contractual debt service; conventionally, future service payments are discounted at 5 percent. Data are in current U.S. dollars. </td> <td style="text-align:left;"> Public and publicly guaranteed debt outstanding from the International Development Association (IDA) is concessional. Concessional debt is defined as loans with an original grant element of 35 percent or more. The grant element of a loan is the grant equivalent expressed as a percentage of the amount committed. It is used as a measure of the overall cost of borrowing. The grant equivalent of a loan is its commitment (present) value, less the discounted present value of its contractual debt service; conventionally, future service payments are discounted at 5 percent. Data are in current U.S. dollars. </td> <td style="text-align:left;"> World Bank, International Debt Statistics. </td> <td style="text-align:left;"> Economic Policy & Debt: External debt: Debt outstanding </td> <td style="text-align:left;"> International Debt Statistics </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> DT.DOD.PVLX.CD </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Present value of external debt (current US$) </td> <td style="text-align:left;"> Present value of debt is the sum of short-term external debt plus the discounted sum of total debt service payments due on public, publicly guaranteed, and private nonguaranteed long-term external debt over the life of existing loans. Data are in current U.S. dollars. </td> <td style="text-align:left;"> Present value of debt is the sum of short-term external debt plus the discounted sum of total debt service payments due on public, publicly guaranteed, and private nonguaranteed long-term external debt over the life of existing loans. Data are in current U.S. dollars. </td> <td style="text-align:left;"> World Bank, International Debt Statistics. </td> <td style="text-align:left;"> Economic Policy & Debt: External debt: Debt outstanding </td> <td style="text-align:left;"> International Debt Statistics </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> Data on external debt are gathered through the World Bank's Debtor Reporting System (DRS). Long term debt data are compiled using the countries report on public and publicly guaranteed borrowing on a loan-by-loan basis and private non guaranteed borrowing on an aggregate basis. These data are supplemented by information from major multilateral banks and official lending agencies in major creditor countries. Short-term debt data are gathered from the Quarterly External Debt Statistics (QEDS) database, jointly developed by the World Bank and the IMF and from creditors through the reporting systems of the Bank for International Settlements. Debt data are reported in the currency of repayment and compiled and published in U.S. dollars. End-of-period exchange rates are used for the compilation of stock figures (amount of debt outstanding), and projected debt service and annual average exchange rates are used for the flows. Exchange rates are taken from the IMF's International Financial Statistics. Debt repayable in multiple currencies, goods, or services and debt with a provision for maintenance of the value of the currency of repayment are shown at book value. </td> <td style="text-align:left;"> External indebtedness affects a country's creditworthiness and investor perceptions. Nonreporting countries might have outstanding debt with the World Bank, other international financial institutions, or private creditors. Total debt service is contrasted with countries' ability to obtain foreign exchange through exports of goods, services, primary income, and workers' remittances. Debt ratios are used to assess the sustainability of a country's debt service obligations, but no absolute rules determine what values are too high. Empirical analysis of developing countries' experience and debt service performance shows that debt service difficulties become increasingly likely when the present value of debt reaches 200 percent of exports. Still, what constitutes a sustainable debt burden varies by country. Countries with fast-growing economies and exports are likely to be able to sustain higher debt levels. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.ANM.CHLD.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Prevalence of anemia among children (% of children under 5) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Prevalence of anemia, children under age 5, is the percentage of children under age 5 whose hemoglobin level is less than 110 grams per liter at sea level. </td> <td style="text-align:left;"> World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en). </td> <td style="text-align:left;"> Health: Nutrition </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> Data on anemia are compiled by the WHO, and a statistical model was used to estimate trends. WHO’s hemoglobin threshold concentration in blood was used. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Data for blood haemoglobin concentrations are still limited, compared to other nutritional indicators such as hild anthropometry. As a result, the estimates may not capture the full variation across countries and regions. </td> <td style="text-align:left;"> Anemia is defined as a low blood haemoglobin concentration. Anaemia may result from a number of causes, with the most significant contributor being iron deficiency. Anaemia resulting from iron deficiency adversely affects cognitive and motor development and causes fatigue and low productivity. Children under age 5 and pregnant women have the highest risk for anemia. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.ANM.NPRG.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Prevalence of anemia among non-pregnant women (% of women ages 15-49) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Prevalence of anemia, non-pregnant women, is the percentage of non-pregnant women whose hemoglobin level is less than 120 grams per liter at sea level. </td> <td style="text-align:left;"> World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en). </td> <td style="text-align:left;"> Health: Nutrition </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.PRG.ANEM </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Prevalence of anemia among pregnant women (%) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Prevalence of anemia, pregnant women, is the percentage of pregnant women whose hemoglobin level is less than 110 grams per liter at sea level. </td> <td style="text-align:left;"> World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en). </td> <td style="text-align:left;"> Health: Nutrition </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> Anemia is a condition in which the number of red blood cells or their oxygen-carrying capacity is insufficient to meet physiologic needs, which vary by age, sex, altitude, smoking status, and pregnancy status. In its severe form it is associated with fatigue, weakness, dizziness, and drowsiness. Children under age 5 and pregnant women have the highest risk for anemia. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Data should be used with caution because surveys differ in quality, coverage, age group interviewed, and treatment of missing values across countries and over time. Data on anemia are compiled by the WHO based mainly on nationally representative surveys, which measure hemoglobin in the blood. WHO's hemoglobin thresholds are then used to determine anemia status based on age, sex, and physiological status. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.ANM.ALLW.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Prevalence of anemia among women of reproductive age (% of women ages 15-49) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Prevalence of anemia among women of reproductive age refers to the combined prevalence of both non-pregnant with haemoglobin levels below 12 g/dL and pregnant women with haemoglobin levels below 11 g/dL. </td> <td style="text-align:left;"> World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en). </td> <td style="text-align:left;"> Health: Nutrition </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SN.ITK.MSFI.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Prevalence of moderate or severe food insecurity in the population (%) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> The percentage of people in the population who live in households classified as moderately or severely food insecure. A household is classified as moderately or severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to low quality diets and might have been forced to also reduce the quantity of food they would normally eat because of a lack of money or other resources. </td> <td style="text-align:left;"> Food and Agriculture Organization of the United Nations (FAO) </td> <td style="text-align:left;"> Health </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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 moderate or severe food insecurity corresponds to the severity associated with the item having to eat less 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). </td> <td style="text-align:left;"> 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 hunger </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.STA.OWGH.ME.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Prevalence of overweight (modeled estimate, % of children under 5) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006. </td> <td style="text-align:left;"> UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). </td> <td style="text-align:left;"> Health: Nutrition </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.STA.OWGH.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Prevalence of overweight, weight for height (% of children under 5) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> Health: Nutrition </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> See SH.STA.OWGH.ME.ZS for aggregation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Estimates of overweight children are from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.STA.OWGH.FE.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Prevalence of overweight, weight for height, female (% of children under 5) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Prevalence of overweight, female, is the percentage of girls under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> Health: Nutrition </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Linear mixed-effect model estimates </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Estimates of overweight children are from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.STA.OWGH.MA.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Prevalence of overweight, weight for height, male (% of children under 5) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Prevalence of overweight, male, is the percentage of boys under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> Health: Nutrition </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Linear mixed-effect model estimates </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Estimates of overweight children are from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SN.ITK.SVFI.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Prevalence of severe food insecurity in the population (%) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> Food and Agriculture Organization of the United Nations (FAO) </td> <td style="text-align:left;"> Health </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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). </td> <td style="text-align:left;"> 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 hunger </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.SVR.WAST.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Prevalence of severe wasting, weight for height (% of children under 5) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Prevalence of severe wasting is the proportion of children under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> Health: Nutrition </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Linear mixed-effect model estimates </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.SVR.WAST.FE.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Prevalence of severe wasting, weight for height, female (% of children under 5) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Prevalence of severe wasting, female, is the proportion of girls under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> Health: Nutrition </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Linear mixed-effect model estimates </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.SVR.WAST.MA.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Prevalence of severe wasting, weight for height, male (% of children under 5) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Prevalence of severe wasting, male, is the proportion of boys under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> Health: Nutrition </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Linear mixed-effect model estimates </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.STA.STNT.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Prevalence of stunting, height for age (% of children under 5) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> Health: Nutrition </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> See SH.STA.OWGH.ME.ZS for aggregation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.STA.STNT.ME.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Prevalence of stunting, height for age (modeled estimate, % of children under 5) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). </td> <td style="text-align:left;"> Health: Nutrition </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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). 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. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.STA.STNT.FE.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Prevalence of stunting, height for age, female (% of children under 5) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> Health: Nutrition </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Linear mixed-effect model estimates </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.STA.STNT.MA.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Prevalence of stunting, height for age, male (% of children under 5) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> Health: Nutrition </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Linear mixed-effect model estimates </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SN.ITK.DEFC.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Prevalence of undernourishment (% of population) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Population below minimum level of dietary energy consumption (also referred to as prevalence of undernourishment) shows the percentage of the population whose food intake is insufficient to meet dietary energy requirements continuously. Data showing as 5 may signify a prevalence of undernourishment below 5%. </td> <td style="text-align:left;"> Food and Agriculture Organization (http://www.fao.org/publications/en/). </td> <td style="text-align:left;"> Health: Nutrition </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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). </td> <td style="text-align:left;"> 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). </td> <td style="text-align:left;"> This is the Sustainable Development Goal indicator 2.1.1[https://unstats.un.org/sdgs/metadata/]. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.STA.MALN.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Prevalence of underweight, weight for age (% of children under 5) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Prevalence of underweight children is the percentage of children under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's child growth standards released in 2006. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> Health: Nutrition </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Linear mixed-effect model estimates </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.STA.MALN.FE.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Prevalence of underweight, weight for age, female (% of children under 5) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Prevalence of underweight, female, is the percentage of girls under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's new child growth standards released in 2006. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> Health: Nutrition </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Linear mixed-effect model estimates </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.STA.MALN.MA.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Prevalence of underweight, weight for age, male (% of children under 5) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Prevalence of underweight, male, is the percentage of boys under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's new child growth standards released in 2006. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> Health: Nutrition </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Linear mixed-effect model estimates </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.STA.WAST.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Prevalence of wasting, weight for height (% of children under 5) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Prevalence of wasting is the proportion of children under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> Health: Nutrition </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Linear mixed-effect model estimates </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.STA.WAST.FE.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Prevalence of wasting, weight for height, female (% of children under 5) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Prevalence of wasting, female, is the proportion of girls under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> Health: Nutrition </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Linear mixed-effect model estimates </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.STA.WAST.MA.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Prevalence of wasting, weight for height, male (% of children under 5) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Prevalence of wasting, male,is the proportion of boys under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> Health: Nutrition </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Linear mixed-effect model estimates </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.PRM.ENRL </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Primary education, pupils </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Primary education pupils is the total number of pupils enrolled at primary level in public and private schools. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> Enrollment includes Individuals officially registered in a given educational programme, or stage or module thereof, regardless of age. Data 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. The 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). </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.PRM.ENRL.FE.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Primary education, pupils (% female) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Female pupils as a percentage of total pupils at primary level include enrollments in public and private schools. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> Percentage of female enrollment is calculated by dividing the total number of female students at a given level of education by the total enrollment at the same level, and multiplying by 100. Data 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. The 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). </td> <td style="text-align:left;"> The share of girls allows an assessment on gender composition in school enrollment. A value greater than 50% indicates participation of more girls at a specific level or programme of education. </td> <td style="text-align:left;"> The percentage of female enrollment is limited in assessing gender parity, because it's affected by the gender composition of population. Ratio of female to male in enrollment rate provides a population adjusted measure of gender parity. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.DYN.1014 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Probability of dying among adolescents ages 10-14 years (per 1,000) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Probability of dying between age 10-14 years of age expressed per 1,000 adolescents age 10, if subject to age-specific mortality rates of the specified year. </td> <td style="text-align:left;"> Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org. </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> 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. Estimates 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. </td> <td style="text-align:left;"> Mortality rates for different age groups (infants, children, adolescents, youth 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> Aggregate 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.DYN.1519 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Probability of dying among adolescents ages 15-19 years (per 1,000) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Probability of dying between age 15-19 years of age expressed per 1,000 adolescents age 15, if subject to age-specific mortality rates of the specified year. </td> <td style="text-align:left;"> Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org. </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> 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. Estimates 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. </td> <td style="text-align:left;"> Mortality rates for different age groups (infants, children, adolescents, youth 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> Aggregate 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.DYN.0509 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Probability of dying among children ages 5-9 years (per 1,000) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Probability of dying between age 5-9 years of age expressed per 1,000 children aged 5, if subject to age-specific mortality rates of the specified year. </td> <td style="text-align:left;"> Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org. </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> 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. Estimates 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. </td> <td style="text-align:left;"> Mortality rates for different age groups (infants, children, adolescents, youth 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Aggregate 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SH.DYN.2024 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Probability of dying among youth ages 20-24 years (per 1,000) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Probability of dying between age 20-24 years of age expressed per 1,000 youths age 20, if subject to age-specific mortality rates of the specified year. </td> <td style="text-align:left;"> Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org. </td> <td style="text-align:left;"> Health: Mortality </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> 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. Estimates 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. </td> <td style="text-align:left;"> Mortality rates for different age groups (infants, children, adolescents, youth 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> Aggregate 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SI.DST.50MD </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Proportion of people living below 50 percent of median income (%) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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 PovcalNet (http://iresearch.worldbank.org/PovcalNet). 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. </td> <td style="text-align:left;"> World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from EU-SILC or the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (iresearch.worldbank.org/PovcalNet/index.htm). </td> <td style="text-align:left;"> Poverty: Income distribution </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> GB.XPD.RSDV.GD.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Research and development expenditure (% of GDP) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/) </td> <td style="text-align:left;"> Infrastructure: Technology </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> 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. The 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 </td> <td style="text-align:left;"> including knowledge of man </td> <td style="text-align:left;"> culture and society </td> <td style="text-align:left;"> and the use of this stock of knowledge to devise new applications." R&D covers basic research </td> <td style="text-align:left;"> applied research </td> <td style="text-align:left;"> and experimental development. </td> </tr> <tr> <td style="text-align:left;"> (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 </td> <td style="text-align:left;"> without any particular application or use in view </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> </tr> <tr> <td style="text-align:left;"> (2) Applied research - Applied research is also original investigation undertaken in order to acquire new knowledge; it is </td> <td style="text-align:left;"> however </td> <td style="text-align:left;"> directed primarily towards a specific practical aim or objective. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> </tr> <tr> <td style="text-align:left;"> (3) Experimental development - Experimental development is systematic work </td> <td style="text-align:left;"> drawing on existing knowledge gained from research and/or practical experience </td> <td style="text-align:left;"> which is directed to producing new materials </td> <td style="text-align:left;"> products or devices </td> <td style="text-align:left;"> to installing new processes </td> <td style="text-align:left;"> systems and services </td> <td style="text-align:left;"> or to improving substantially those already produced or installed. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> </tr> <tr> <td style="text-align:left;"> The fields of science and technology used to classify R&D according to the Revised Fields of Science and Technology Classification are: </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> </tr> <tr> <td style="text-align:left;"> 1. Natural sciences; </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> </tr> <tr> <td style="text-align:left;"> 2. Engineering and technology; </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> </tr> <tr> <td style="text-align:left;"> 3. Medical and health sciences; </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> </tr> <tr> <td style="text-align:left;"> 4. Agricultural sciences; </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> </tr> <tr> <td style="text-align:left;"> 5. Social sciences; </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> </tr> <tr> <td style="text-align:left;"> 6. Humanities and the arts. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> </tr> <tr> <td style="text-align:left;"> The data are obtained through statistical surveys which are regularly conducted at national level covering R&D performing entities in the private and public sectors." </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. R&D totals from SNA accounts may differ from these estimates, due in part to the different treatments of software R&D in the totals. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> </tr> <tr> <td style="text-align:left;"> SP.POP.SCIE.RD.P6 </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Researchers in R&D (per million people) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> The number of researchers engaged in Research &Development (R&D), expressed as per million. Researchers are professionals who conduct research and improve or develop concepts, theories, models techniques instrumentation, software of operational methods. R&D covers basic research, applied research, and experimental development. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/) </td> <td style="text-align:left;"> Infrastructure: Technology </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted Average </td> <td style="text-align:left;"> Researchers are professionals engaged in the conception or creation of new knowledge, products, processes, methods and systems, as well as in the management of these projects. Students studying at the master’s or doctoral level (ISCED2011 level 7 or 8) engaged in R&D are included. The 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 </td> <td style="text-align:left;"> including knowledge of man </td> <td style="text-align:left;"> culture and society </td> <td style="text-align:left;"> and the use of this stock of knowledge to devise new applications." R&D covers basic research </td> <td style="text-align:left;"> applied research </td> <td style="text-align:left;"> and experimental development. </td> </tr> <tr> <td style="text-align:left;"> (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 </td> <td style="text-align:left;"> without any particular application or use in view. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> </tr> <tr> <td style="text-align:left;"> (2) Applied research - Applied research is also original investigation undertaken in order to acquire new knowledge; it is </td> <td style="text-align:left;"> however </td> <td style="text-align:left;"> directed primarily towards a specific practical aim or objective. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> </tr> <tr> <td style="text-align:left;"> (3) Experimental development - Experimental development is systematic work </td> <td style="text-align:left;"> drawing on existing knowledge gained from research and/or practical experience </td> <td style="text-align:left;"> which is directed to producing new materials </td> <td style="text-align:left;"> products or devices </td> <td style="text-align:left;"> to installing new processes </td> <td style="text-align:left;"> systems and services </td> <td style="text-align:left;"> or to improving substantially those already produced or installed. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> </tr> <tr> <td style="text-align:left;"> The fields of science and technology used to classify R&D according to the Revised Fields of Science and Technology Classification are: </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> </tr> <tr> <td style="text-align:left;"> 1. Natural sciences; </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> </tr> <tr> <td style="text-align:left;"> 2. Engineering and technology; </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> </tr> <tr> <td style="text-align:left;"> 3. Medical and health sciences; </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> </tr> <tr> <td style="text-align:left;"> 4. Agricultural sciences; </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> </tr> <tr> <td style="text-align:left;"> 5. Social sciences; </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> </tr> <tr> <td style="text-align:left;"> 6. Humanities and the arts. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> </tr> <tr> <td style="text-align:left;"> Data are for full-time equivalent (FTE); the FTE of R&D personnel is defined as the ratio of working hours actually spent on R&D during a specific reference period (usually a calendar year) divided by the total number of hours conventionally worked in the same period by an individual or by a group. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> </tr> <tr> <td style="text-align:left;"> The data are obtained through statistical surveys which are regularly conducted at national level covering R&D performing entities in the private and public sectors." </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> </tr> <tr> <td style="text-align:left;"> SE.PRE.ENRR </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> School enrollment, preprimary (% gross) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. Preprimary education refers to programs at the initial stage of organized instruction, designed primarily to introduce very young children to a school-type environment and to provide a bridge between home and school. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> Gross enrollment ratio for pre-primary school is calculated by dividing the number of students enrolled in pre-primary education regardless of age by the population of the age group which officially corresponds to pre-primary education, and multiplying by 100. Data 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. The 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). </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.PRE.ENRR.FE </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> School enrollment, preprimary, female (% gross) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. Preprimary education refers to programs at the initial stage of organized instruction, designed primarily to introduce very young children to a school-type environment and to provide a bridge between home and school. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> Gross enrollment ratio for pre-primary school is calculated by dividing the number of students enrolled in pre-primary education regardless of age by the population of the age group which officially corresponds to pre-primary education, and multiplying by 100. Data 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. The 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). </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.PRE.ENRR.MA </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> School enrollment, preprimary, male (% gross) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. Preprimary education refers to programs at the initial stage of organized instruction, designed primarily to introduce very young children to a school-type environment and to provide a bridge between home and school. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> Gross enrollment ratio for pre-primary school is calculated by dividing the number of students enrolled in pre-primary education regardless of age by the population of the age group which officially corresponds to pre-primary education, and multiplying by 100. Data 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. The 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). </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.PRM.ENRR </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> School enrollment, primary (% gross) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> 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. Data 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. The 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). </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.PRM.NENR </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> School enrollment, primary (% net) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. 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. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> Net enrollment rate for primary school is calculated by dividing the number of students of official school age enrolled in primary education by the population of the age group which officially corresponds to primary education, and multiplying by 100. Data 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. The 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). </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.ENR.PRIM.FM.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> School enrollment, primary (gross), gender parity index (GPI) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Gender parity index for gross enrollment ratio in primary education is the ratio of girls to boys enrolled at primary level in public and private schools. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> This indicator is calculated by dividing female gross enrollment ratio in primary education by male gross enrollment ratio in primary education. Data 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. The 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). </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.ENR.PRSC.FM.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> School enrollment, primary and secondary (gross), gender parity index (GPI) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> 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. Data 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. The 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). </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.PRM.ENRR.FE </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> School enrollment, primary, female (% gross) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> 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. Data 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. The 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). </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.PRM.NENR.FE </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> School enrollment, primary, female (% net) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. 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. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> Net enrollment rate for primary school is calculated by dividing the number of students of official school age enrolled in primary education by the population of the age group which officially corresponds to primary education, and multiplying by 100. Data 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. The 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). </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.PRM.ENRR.MA </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> School enrollment, primary, male (% gross) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> 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. Data 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. The 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). </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.PRM.NENR.MA </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> School enrollment, primary, male (% net) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. 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. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> Net enrollment rate for primary school is calculated by dividing the number of students of official school age enrolled in primary education by the population of the age group which officially corresponds to primary education, and multiplying by 100. Data 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. The 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). </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.PRM.PRIV.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> School enrollment, primary, private (% of total primary) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Private enrollment refers to pupils or students enrolled in institutions that are not operated by a public authority but controlled and managed, whether for profit or not, by a private body such as a nongovernmental organization, religious body, special interest group, foundation or business enterprise. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> The share of students in private primary school is calculated by dividing the number of students enrolled in private educational institutions at primary level by total enrollment (public and private) at the same level of education, and multiplying by 100. Data 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. The 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). </td> <td style="text-align:left;"> The share of enrollment in private institutions indicates the scale and capacity of private education within a country. A high percentage suggests strong involvement of the non-governmental sector (including religious bodies, other organizations, associations, communities, private enterprises or persons) in providing organized educational programmes. However, in countries where private institutions are substantially subsidized or aided by the government, the distinction between private and public educational institutions may be less clear-cut especially when certain students are directly financed through government scholarships. </td> <td style="text-align:left;"> Religious or private schools, which are not registered with the government or don't follow the common national curriculum, may not be captured. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.SEC.ENRR </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> School enrollment, secondary (% gross) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> Gross enrollment ratio for secondary school is calculated by dividing the number of students enrolled in secondary education regardless of age by the population of the age group which officially corresponds to secondary education, and multiplying by 100. Data 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. The 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). </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.SEC.NENR </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> School enrollment, secondary (% net) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> Net enrollment rate for secondary school is calculated by dividing the number of students of official school age enrolled in secondary education by the population of the age group which officially corresponds to secondary education, and multiplying by 100. Data 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. The 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). </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.ENR.SECO.FM.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> School enrollment, secondary (gross), gender parity index (GPI) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Gender parity index for gross enrollment ratio in secondary education is the ratio of girls to boys enrolled at secondary level in public and private schools. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> This indicator is calculated by dividing female gross enrollment ratio in secondary education by male gross enrollment ratio in secondary education. Data 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. The 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). </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.SEC.ENRR.FE </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> School enrollment, secondary, female (% gross) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> Gross enrollment ratio for secondary school is calculated by dividing the number of students enrolled in secondary education regardless of age by the population of the age group which officially corresponds to secondary education, and multiplying by 100. Data 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. The 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). </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.SEC.NENR.FE </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> School enrollment, secondary, female (% net) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> Net enrollment rate for secondary school is calculated by dividing the number of students of official school age enrolled in secondary education by the population of the age group which officially corresponds to secondary education, and multiplying by 100. Data 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. The 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). </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.SEC.ENRR.MA </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> School enrollment, secondary, male (% gross) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> Gross enrollment ratio for secondary school is calculated by dividing the number of students enrolled in secondary education regardless of age by the population of the age group which officially corresponds to secondary education, and multiplying by 100. Data 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. The 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). </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.SEC.NENR.MA </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> School enrollment, secondary, male (% net) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> Net enrollment rate for secondary school is calculated by dividing the number of students of official school age enrolled in secondary education by the population of the age group which officially corresponds to secondary education, and multiplying by 100. Data 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. The 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). </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.SEC.PRIV.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> School enrollment, secondary, private (% of total secondary) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Private enrollment refers to pupils or students enrolled in institutions that are not operated by a public authority but controlled and managed, whether for profit or not, by a private body such as a nongovernmental organization, religious body, special interest group, foundation or business enterprise. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> The share of students in private secondary school is calculated by dividing the number of students enrolled in private educational institutions at secondary level by total enrollment (public and private) at the same level of education, and multiplying by 100. Data 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. The 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). </td> <td style="text-align:left;"> The share of enrollment in private institutions indicates the scale and capacity of private education within a country. A high percentage suggests strong involvement of the non-governmental sector (including religious bodies, other organizations, associations, communities, private enterprises or persons) in providing organized educational programmes. However, in countries where private institutions are substantially subsidized or aided by the government, the distinction between private and public educational institutions may be less clear-cut especially when certain students are directly financed through government scholarships. </td> <td style="text-align:left;"> Religious or private schools, which are not registered with the government or don't follow the common national curriculum, may not be captured. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.TER.ENRR </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> School enrollment, tertiary (% gross) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. Tertiary education, whether or not to an advanced research qualification, normally requires, as a minimum condition of admission, the successful completion of education at the secondary level. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> Gross enrollment ratio for tertiary school is calculated by dividing the number of students enrolled in tertiary education regardless of age by the population of the age group which officially corresponds to tertiary education, and multiplying by 100. Data 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. The 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). </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.ENR.TERT.FM.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> School enrollment, tertiary (gross), gender parity index (GPI) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Gender parity index for gross enrollment ratio in tertiary education is the ratio of women to men enrolled at tertiary level in public and private schools. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> This indicator is calculated by dividing female gross enrollment ratio in tertiary education by male gross enrollment ratio in tertiary education. Data 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. The 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). </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.TER.ENRR.FE </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> School enrollment, tertiary, female (% gross) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. Tertiary education, whether or not to an advanced research qualification, normally requires, as a minimum condition of admission, the successful completion of education at the secondary level. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> Gross enrollment ratio for tertiary school is calculated by dividing the number of students enrolled in tertiary education regardless of age by the population of the age group which officially corresponds to tertiary education, and multiplying by 100. Data 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. The 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). </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.TER.ENRR.MA </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> School enrollment, tertiary, male (% gross) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> 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. Tertiary education, whether or not to an advanced research qualification, normally requires, as a minimum condition of admission, the successful completion of education at the secondary level. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> Gross enrollment ratio for tertiary school is calculated by dividing the number of students enrolled in tertiary education regardless of age by the population of the age group which officially corresponds to tertiary education, and multiplying by 100. Data 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. The 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). </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> 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. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> IP.JRN.ARTC.SC </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Scientific and technical journal articles </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Scientific and technical journal articles refer to the number of scientific and engineering articles published in the following fields: physics, biology, chemistry, mathematics, clinical medicine, biomedical research, engineering and technology, and earth and space sciences. </td> <td style="text-align:left;"> National Science Foundation, Science and Engineering Indicators. </td> <td style="text-align:left;"> Infrastructure: Technology </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Gap-filled total </td> <td style="text-align:left;"> The number of scientific and engineering articles published in the following fields: physics, biology, chemistry, mathematics, clinical medicine, biomedical research, engineering and technology, and earth and space sciences. The NSF considers article counts from a set of journals covered by Science Citation Index (SCI) and Social Sciences Citation Index (SSCI). </td> <td style="text-align:left;"> A scientific journal is a periodical publication intended to further the progress of science, usually by reporting new research. Most journals are highly specialized, although some of the oldest journals such as Nature publish articles and scientific papers across a wide range of scientific fields. Scientific journals contain articles that have been peer reviewed. When a scientific journal describes experiments or calculations, they must supply enough details that an independent researcher could repeat the experiment or calculation to verify the results. Each such journal article becomes part of the permanent scientific record. Some journals, such as Nature, Science, Proceedings of the National Academy of Sciences of the United States of America (PNAS), and Physical Review Letters, have a reputation of publishing articles that mark a fundamental breakthrough in their respective fields. </td> <td style="text-align:left;"> Scientific and technical article counts are from journals classified by the Institute for Scientific Information's Science Citation Index (SCI) and Social Sciences Citation Index (SSCI). Counts are based on fractional assignments; articles with authors from different countries are allocated proportionately to each country. The SCI and SSCI databases cover the core set of scientific journals but may exclude some of local importance and may reflect some bias toward English-language journals. Articles are classified by year of publication and assigned to region/country/economy on basis of institutional address(es) listed on the article. Articles are counted on a fractional-count basis that is, for articles with collaborating institutions from multiple countries/economies, each country/economy receives fractional credit on basis of proportion of its participating institutions. Details may not add to total because of rounding. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.SEC.ENRL.GC </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Secondary education, general pupils </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Secondary general pupils are the number of secondary students enrolled in general education programs, including teacher training. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> Enrollment includes Individuals officially registered in a given educational programme, or stage or module thereof, regardless of age. Data 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. The 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). </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.SEC.ENRL.GC.FE.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Secondary education, general pupils (% female) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Secondary general pupils are the number of secondary students enrolled in general education programs, including teacher training. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> Percentage of female enrollment is calculated by dividing the total number of female students at a given level of education by the total enrollment at the same level, and multiplying by 100. Data 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. The 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). </td> <td style="text-align:left;"> The share of girls allows an assessment on gender composition in school enrollment. A value greater than 50% indicates participation of more girls at a specific level or programme of education. </td> <td style="text-align:left;"> The percentage of female enrollment is limited in assessing gender parity, because it's affected by the gender composition of population. Ratio of female to male in enrollment rate provides a population adjusted measure of gender parity. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.SEC.ENRL </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Secondary education, pupils </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Secondary education pupils is the total number of pupils enrolled at secondary level in public and private schools. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of September 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> Enrollment includes Individuals officially registered in a given educational programme, or stage or module thereof, regardless of age. Data 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. The 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). </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.SEC.ENRL.FE.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Secondary education, pupils (% female) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Female pupils as a percentage of total pupils at secondary level includes enrollments in public and private schools. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> Percentage of female enrollment is calculated by dividing the total number of female students at a given level of education by the total enrollment at the same level, and multiplying by 100. Data 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. The 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). </td> <td style="text-align:left;"> The share of girls allows an assessment on gender composition in school enrollment. A value greater than 50% indicates participation of more girls at a specific level or programme of education. </td> <td style="text-align:left;"> The percentage of female enrollment is limited in assessing gender parity, because it's affected by the gender composition of population. Ratio of female to male in enrollment rate provides a population adjusted measure of gender parity. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.SEC.ENRL.VO </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Secondary education, vocational pupils </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Secondary vocational pupils are the number of secondary students enrolled in technical and vocational education programs, including teacher training. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> Enrollment includes Individuals officially registered in a given educational programme, or stage or module thereof, regardless of age. Data 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. The 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). </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> SE.SEC.ENRL.VO.FE.ZS </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Secondary education, vocational pupils (% female) </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Secondary vocational pupils are the number of secondary students enrolled in technical and vocational education programs, including teacher training. </td> <td style="text-align:left;"> UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020. </td> <td style="text-align:left;"> Education: Participation </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Weighted average </td> <td style="text-align:left;"> Percentage of female enrollment is calculated by dividing the total number of female students at a given level of education by the total enrollment at the same level, and multiplying by 100. Data 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. The 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). </td> <td style="text-align:left;"> The share of girls allows an assessment on gender composition in school enrollment. A value greater than 50% indicates participation of more girls at a specific level or programme of education. </td> <td style="text-align:left;"> The percentage of female enrollment is limited in assessing gender parity, because it's affected by the gender composition of population. Ratio of female to male in enrollment rate provides a population adjusted measure of gender parity. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> https://datacatalog.worldbank.org/public-licenses#cc-by </td> </tr> <tr> <td style="text-align:left;"> IT.NET.SECR </td> <td style="text-align:left;"> CC BY-4.0 </td> <td style="text-align:left;"> Secure Internet servers </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> The number of distinct, publicly-trusted TLS/SSL certificates found in the Netcraft Secure Server Survey. </td> <td style="text-align:left;"> Netcraft (http://www.netcraft.com/) </td> <td style="text-align:left;"> Infrastructure: Communications </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> Annual </td> <td style="text-align:left;"> Sum </td> <td style="text-align:left;"> The survey examines the use of encrypted transactions through extensive automated exploration, tallying the number of web sites using HTTPS. This analysis relates to those sites found in the survey where the certificate is valid for the hostname, and the certificate has been issued from a publicly-trusted root. The indicator refers to valid, third-party certificates. Included are sites found in the survey where the common name in the certificate matched the hostname, and the certificate's digital signature was not detected as being self-signed. The location is derived from the hosting location of the sites using the certificates (rather than the countries indicated on the certificates themselves.) Netcraft's survey counts (unique) valid certificates issued by widely-trusted third-party certification authorities. A certificate must be valid </td> <td style="text-align:left;"> that is it must be within its validity period (c