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Early Warning Project, Interim
license: mit
country sftgcode forecast.year mean_p rf.p threat.p harff.p year imr.normed.ln mev.regac.ln postcw cou.tries5d pol.cat.fl2 pol.cat.fl3 pol.cat.fl7 pol.durable.ln gdppcgrow.sr mev.civtot.ln ios.iccpr1 wdi.popsize.ln coup.p cwar.p reg.eap reg.eur reg.mna reg.sca reg.amr pol.cat.pitf2 pol.cat.pitf3 pol.cat.pitf4 pol.cat.pitf5 pol.cat.pitf6 dis.l4pop.ln pitf.p mkl.ever pit.sftpuhvl2.10.ln pol.autoc elc.eliti elc.elethc wdi.trade.ln reg.afr mkl.ongoing countryage.ln pol.cat.fl1 elf.ethnicc1 elf.ethnicc2 elf.ethnicc3 elf.ethnicc9 elc.eleth1 elc.eleth2 date mean_pPER rf.pPER threat.pPER harff.pPER imr.normed.lnPER mev.regac.lnPER postcwPER cou.tries5dPER pol.cat.fl2PER pol.cat.fl3PER pol.cat.fl7PER pol.durable.lnPER gdppcgrow.srPER mev.civtot.lnPER ios.iccpr1PER wdi.popsize.lnPER coup.pPER cwar.pPER reg.eapPER reg.eurPER reg.mnaPER reg.scaPER reg.amrPER pol.cat.pitf2PER pol.cat.pitf3PER pol.cat.pitf4PER pol.cat.pitf5PER pol.cat.pitf6PER dis.l4pop.lnPER pitf.pPER mkl.everPER pit.sftpuhvl2.10.lnPER pol.autocPER elc.elitiPER elc.elethcPER wdi.trade.lnPER reg.afrPER mkl.ongoingPER countryage.lnPER pol.cat.fl1PER elf.ethnicc1PER elf.ethnicc2PER elf.ethnicc3PER elf.ethnicc9PER elc.eleth1PER elc.eleth2PER
Myanmar MYA 2016 0.128981243 0.065 0.034257524 0.287686206 2015 0.826580169 3.044522438 1 0 0 0 1 0 2.48009636 1.609437912 0 10.8948301 0.051298031 0.071327629 1 0 0 0 0 0 0 0 0 1 2.014903021 0.109200744 1 3.258096538 0 0 1 -1.175051928 0 1 4.219507705 0 0 1 0 0 1 0 4/8/17 1 0.981 0.937 1 0.72 0.801 0 0 0 0 0.962 0 0.968 0.925 0 0.85 0.838 0.975 0.881 0 0 0 0 0 0 0 0 0.962 0.85 0.956 0.608 0.925 0 0 0.683 0 0 0.956 0.577 0 0 0.652 0 0 0.757 0
Sudan SUD 2016 0.076668418 0.154 0.060222882 0.015782373 2015 1.016971601 3.218875825 1 1 1 0 0 1.609437912 0.643605958 1.945910149 0 10.60249254 0.146743961 0.064107667 0 0 0 0 0 0 0 0 0 0 0 0.018760841 1 2.833213344 1 1 1 2.950671765 1 1 4.094344562 0 0 0 1 0 1 0 4/8/17 0.993 1 0.987 0.813 0.807 0.894 0 0.913 0.745 0 0 0.18 0.285 0.975 0 0.801 0.981 0.962 0 0 0 0 0 0 0 0 0 0 0 0.434 0.608 0.857 0.757 0.919 0.683 0.012 0.72 0.956 0.527 0 0 0 0.683 0 0.757 0
Afghanistan AFG 2016 0.047023167 0.059 0.061446869 0.020622631 2015 1.798298004 2.944438979 1 0 1 0 0 0.693147181 -0.918590549 1.386294361 0 10.38982579 0.117882493 0.076654434 0 0 0 1 0 1 0 0 0 0 0 0.081630704 1 3.688879454 1 0 0 3.967903471 0 0 4.574710979 0 0 0 1 0 0 0 4/8/17 0.987 0.975 0.993 0.888 1 0.77 0 0 0.745 0 0 0.074 0.142 0.906 0 0.757 0.95 0.987 0 0 0 0.931 0 0.906 0 0 0 0 0 0.875 0.608 1 0.757 0 0 0.204 0 0 0.658 0 0 0 0.683 0 0 0
Nigeria NIG 2016 0.046261382 0.091 0.025424447 0.022359698 2015 1.33901185 2.48490665 1 0 0 1 0 0 -0.307737046 1.609437912 0 12.11287124 0.080250959 0.037222763 0 0 0 0 0 0 0 1 0 0 1.62924054 0.071279737 1 3.135494216 0 0 0 3.433239509 1 1 4.025351691 0 0 0 1 0 0 0 4/8/17 0.981 0.993 0.906 0.913 0.944 0.621 0 0 0 0.434 0 0 0.198 0.925 0 0.962 0.925 0.844 0 0 0 0 0 0 0 0.664 0 0 0.819 0.832 0.608 0.906 0 0 0 0.037 0.72 0.956 0.397 0 0 0 0.683 0 0 0
Yemen YEM 2016 0.045692889 0.07 0.038539919 0.02853875 2015 0.943061171 3.091042453 1 0 0 0 1 0 -5.494643007 1.609437912 0 10.19735048 0.07720549 0.060894082 0 0 1 0 0 0 0 0 0 1 0 0.085606996 0 3.433987204 0 0 1 4.407647849 0 0 3.258096538 0 0 0 0 1 1 0 4/8/17 0.975 0.987 0.962 0.956 0.776 0.813 0 0 0 0 0.962 0 0 0.925 0 0.701 0.919 0.944 0 0 0.894 0 0 0 0 0 0 0.962 0 0.9 0 0.944 0 0 0.683 0.521 0 0 0.161 0 0 0 0 0.975 0.757 0
Burundi BUI 2016 0.043779689 0.043 0.054606425 0.033732642 2015 1.178029081 3.17805383 1 1 1 0 0 0 -2.521172313 0.693147181 0 9.321792297 0.212640983 0.044023281 0 0 0 0 0 1 0 0 0 0 2.708050201 0.082896371 1 1.386294361 1 0 1 3.721032033 1 0 3.988984047 0 0 1 0 0 1 0 4/8/17 0.968 0.944 0.975 0.975 0.881 0.881 0 0.913 0.745 0 0 0 0.037 0.832 0 0.521 1 0.888 0 0 0 0 0 0.906 0 0 0 0 0.9 0.881 0.608 0.782 0.757 0 0.683 0.086 0.72 0 0.341 0 0 0.652 0 0 0.757 0
Mali MLI 2016 0.040365565 0.043 0.057641581 0.020455114 2015 1.679895642 2.397895273 1 1 1 0 0 1.098612289 1.685617369 0.693147181 1 9.775654181 0.199233652 0.049057124 0 0 0 0 0 0 0 1 0 0 1.945910149 0.098588886 0 2.708050201 0 0 0 4.021233813 1 0 4.025351691 0 0 0 1 0 0 0 4/8/17 0.962 0.944 0.981 0.881 0.993 0.596 0 0.913 0.745 0 0 0.13 0.72 0.832 0.354 0.621 0.993 0.913 0 0 0 0 0 0 0 0.664 0 0 0.832 0.925 0 0.838 0 0 0 0.242 0.72 0 0.397 0 0 0 0.683 0 0 0
Central African Republic CEN 2016 0.038168857 0.05 0.045960176 0.018546396 2015 1.55945575 2.564949357 1 1 0 0 1 0 1.517445621 1.386294361 1 8.496990484 0.196615424 0.038245426 0 0 0 0 0 0 0 0 0 1 0 0.074351096 0 3.36729583 0 0 0 3.901265701 1 0 4.025351691 0 0 0 1 0 0 0 4/8/17 0.956 0.962 0.968 0.863 0.981 0.627 0 0.913 0 0 0.962 0 0.614 0.906 0.354 0.279 0.987 0.85 0 0 0 0 0 0 0 0 0 0.962 0 0.85 0 0.937 0 0 0 0.173 0.72 0 0.397 0 0 0 0.683 0 0 0
Pakistan PAK 2016 0.036249221 0.009 0.016517258 0.083230403 2015 1.072111868 2.772588722 1 0 0 1 0 2.079441542 1.665035771 1.945910149 0 12.14910539 0.041379283 0.037000618 0 0 0 1 0 0 1 0 0 0 3.17805383 0.215499609 1 3.63758616 0 0 1 3.434041598 0 0 4.234106505 0 0 0 1 0 1 0 4/8/17 0.95 0.85 0.826 0.993 0.844 0.658 0 0 0 0.434 0 0.217 0.695 0.975 0 0.968 0.788 0.838 0 0 0 0.931 0 0 0.869 0 0 0 0.944 0.993 0.608 0.987 0 0 0.683 0.043 0 0 0.602 0 0 0 0.683 0 0.757 0
Iraq IRQ 2016 0.036170101 0.028 0.009161094 0.071349209 2015 0.676744696 3.091042453 1 0 0 1 0 0.693147181 -0.418538538 1.609437912 0 10.48765657 0.040742985 0.019611832 0 0 1 0 0 0 1 0 0 0 3.258096538 0.265137694 1 3.63758616 0 0 1 4.156811588 0 0 4.430816799 0 0 1 0 0 1 0 4/8/17 0.944 0.919 0.732 0.987 0.658 0.813 0 0 0 0.434 0 0.074 0.192 0.925 0 0.77 0.782 0.658 0 0 0.894 0 0 0 0.869 0 0 0 0.956 1 0.608 0.987 0 0 0.683 0.322 0 0 0.633 0 0 0.652 0 0 0.757 0
Congo-Kinshasa ZAI 2016 0.034825612 0.023 0.067301487 0.014175349 2015 1.321948247 2.708050201 1 1 1 0 0 2.302585093 2.146436029 1.945910149 1 11.25502224 0.137781814 0.076229274 0 0 0 0 0 0 0 1 0 0 1.098612289 0.061465057 1 3.258096538 0 0 0 4.279597514 1 1 4.025351691 0 0 0 1 0 0 0 4/8/17 0.937 0.9 1 0.776 0.931 0.633 0 0.913 0.745 0 0 0.236 0.9 0.975 0.354 0.894 0.968 0.981 0 0 0 0 0 0 0 0.664 0 0 0.776 0.795 0.608 0.925 0 0 0 0.403 0.72 0.956 0.397 0 0 0 0.683 0 0 0
Somalia SOM 2016 0.03403425 0.058 0.029388513 0.014714238 2015 1.641609639 2.197224577 1 0 1 0 0 1.386294361 -1.21822645 1.791759469 1 9.286096984 0.095227732 0.038727515 0 0 0 0 0 0 0 1 0 0 0 0.06434713 1 3.583518938 0 0 0 4.322324248 1 0 4.025351691 0 0 0 1 0 0 0 4/8/17 0.931 0.968 0.919 0.788 0.987 0.211 0 0 0.745 0 0 0.161 0.124 0.962 0.354 0.496 0.937 0.857 0 0 0 0 0 0 0 0.664 0 0 0 0.807 0.608 0.975 0 0 0 0.428 0.72 0 0.397 0 0 0 0.683 0 0 0
Ethiopia ETI 2016 0.030464166 0.03 0.028032144 0.033360356 2015 1.029919256 2.197224577 1 0 1 0 0 2.397895273 2.909397146 0.693147181 0 11.50681685 0.047459197 0.060255413 0 0 0 0 0 1 0 0 0 0 1.945910149 0.068856034 1 2.944438979 1 0 1 3.707237074 1 0 7.657282793 0 0 0 1 0 0 1 4/8/17 0.925 0.925 0.913 0.968 0.819 0.211 0 0 0.745 0 0 0.273 1 0.832 0 0.925 0.826 0.931 0 0 0 0 0 0.906 0 0 0 0 0.832 0.826 0.608 0.869 0.757 0 0.683 0.08 0.72 0 0.993 0 0 0 0.683 0 0 0.931
South Sudan SSD 2016 0.030191802 0.034 0.03588532 0.020690087 2015 1.248216908 2.995732274 1 0 0 0 1 0 -2.107489646 1.791759469 0 9.420601297 0.084849087 0.052556022 0 0 0 0 0 0 0 0 0 1 0 0.056691625 1 0 0 0 1 3.992013967 1 1 1.609437912 0 0 0 0 1 0 1 4/8/17 0.919 0.937 0.95 0.894 0.906 0.782 0 0 0 0 0.962 0 0.055 0.962 0 0.546 0.931 0.925 0 0 0 0 0 0 0 0 0 0.962 0 0.776 0.608 0 0 0 0.683 0.223 0.72 0.956 0 0 0 0 0 0.975 0 0.931
Turkey TUR 2016 0.029776175 0.026 0.014532726 0.0487958 2015 -0.009756175 2.995732274 1 0 1 0 0 0.693147181 1.650656199 1.098612289 1 11.24920728 0.025158395 0.045773941 0 1 0 0 0 0 1 0 0 0 3.091042453 0.146979545 1 3.465735903 0 0 1 4.093018838 0 0 4.532599493 0 0 1 0 0 1 0 4/8/17 0.913 0.906 0.813 0.981 0.496 0.782 0 0 0.745 0 0 0.074 0.689 0.881 0.354 0.888 0.658 0.9 0 0.751 0 0 0 0 0.869 0 0 0 0.925 0.981 0.608 0.95 0 0 0.683 0.291 0 0 0.645 0 0 0.652 0 0 0.757 0
Bangladesh BNG 2016 0.024584938 0.006 0.038348563 0.029406251 2015 0.838903465 3.091042453 1 0 1 0 0 0.693147181 2.304457878 0 0 11.9891348 0.046623704 0.086643376 0 0 0 1 0 0 1 0 0 0 2.48490665 0.158384023 1 1.386294361 0 0 0 3.795805548 0 0 3.80666249 0 1 0 0 0 0 0 4/8/17 0.906 0.776 0.956 0.962 0.732 0.813 0 0 0.745 0 0 0.074 0.925 0 0 0.956 0.819 1 0 0 0 0.931 0 0 0.869 0 0 0 0.875 0.987 0.608 0.782 0 0 0 0.118 0 0 0.242 0 0.708 0 0 0 0 0
Sri Lanka SRI 2016 0.024223491 0.046 0.001684336 0.024986136 2015 -0.772577813 3.091042453 1 0 0 1 0 0 2.114044913 0 1 9.946355453 0.010627047 0.008086652 0 0 0 1 0 0 1 0 0 0 2.63905733 0.051137617 1 2.708050201 0 0 1 3.836520308 0 0 3.784189634 0 0 1 0 0 1 0 4/8/17 0.9 0.956 0.416 0.937 0.304 0.813 0 0 0 0.434 0 0 0.894 0 0.354 0.652 0.378 0.447 0 0 0 0.931 0 0 0.869 0 0 0 0.888 0.739 0.608 0.838 0 0 0.683 0.136 0 0 0.236 0 0 0.652 0 0 0.757 0
Egypt EGY 2016 0.023948089 0.03 0.030240133 0.011604132 2015 0.123046282 2.944438979 1 1 1 0 0 1.098612289 1.466589301 0.693147181 1 11.42418168 0.068805219 0.050363159 0 0 1 0 0 0 0 0 0 0 0 0.01892804 0 2.944438979 1 1 1 3.622038778 0 1 4.143134726 0 1 0 0 0 1 0 4/8/17 0.894 0.925 0.931 0.701 0.546 0.77 0 0.913 0.745 0 0 0.13 0.59 0.832 0.354 0.913 0.9 0.919 0 0 0.894 0 0 0 0 0 0 0 0 0.44 0 0.869 0.757 0.919 0.683 0.049 0 0.956 0.546 0 0.708 0 0 0 0.757 0
Guinea GUI 2016 0.020572434 0 0.035203016 0.026514285 2015 1.031042852 2.772588722 1 1 1 0 0 1.098612289 -1.515702211 0 1 9.442166124 0.135392336 0.036907082 0 0 0 0 0 0 1 0 0 0 0 0.103398303 1 0 0 0 1 4.389765274 1 0 4.060443011 0 0 0 1 0 0 1 4/8/17 0.888 0 0.944 0.944 0.826 0.658 0 0.913 0.745 0 0 0.13 0.086 0 0.354 0.552 0.962 0.832 0 0 0 0 0 0 0.869 0 0 0 0 0.95 0.608 0 0 0 0.683 0.496 0.72 0 0.509 0 0 0 0.683 0 0 0.931
Tanzania TAZ 2016 0.020194135 0.014 0.030161069 0.016421334 2015 0.800526125 3.218875825 1 0 1 0 0 0 2.206912406 0 0 10.88687603 0.050639594 0.062432705 0 0 0 0 0 0 1 0 0 0 0 0.084157214 1 0 0 0 0 3.899411942 1 0 4.007333185 0 0 0 1 0 0 0 4/8/17 0.881 0.881 0.925 0.819 0.714 0.894 0 0 0.745 0 0 0 0.906 0 0 0.844 0.832 0.95 0 0 0 0 0 0 0.869 0 0 0 0 0.894 0.608 0 0 0 0 0.167 0.72 0 0.378 0 0 0 0.683 0 0 0
Ukraine UKR 2016 0.019788038 0.027 0.008029168 0.024334947 2015 -0.85299938 2.079441542 1 1 1 0 0 3.218875825 -3.111288075 1.098612289 1 10.71790059 0.035321854 0.018795688 0 1 0 0 0 0 1 0 0 0 3.135494216 0.088452352 0 2.197224577 0 0 1 4.628839669 0 0 3.218875825 0 0 1 0 0 1 0 4/8/17 0.875 0.913 0.708 0.931 0.267 0.204 0 0.913 0.745 0 0 0.565 0.018 0.881 0.354 0.813 0.739 0.645 0 0.751 0 0 0 0 0.869 0 0 0 0.937 0.913 0 0.826 0 0 0.683 0.701 0 0 0.049 0 0 0.652 0 0 0.757 0
Cameroon CAO 2016 0.015575327 0.003 0.016932402 0.026793579 2015 1.034779079 2.708050201 1 0 1 0 0 3.17805383 1.813756347 0.693147181 1 10.05809527 0.032929635 0.0447233 0 0 0 0 0 1 0 0 0 0 3.044522438 0.083611681 0 0 1 0 1 3.968146559 1 0 4.025351691 0 0 0 1 0 0 1 4/8/17 0.869 0.621 0.832 0.95 0.832 0.633 0 0 0.745 0 0 0.534 0.745 0.832 0.354 0.67 0.726 0.894 0 0 0 0 0 0.906 0 0 0 0 0.919 0.888 0 0 0.757 0 0.683 0.211 0.72 0 0.397 0 0 0 0.683 0 0 0.931
India IND 2016 0.015011336 0.016 0.017431259 0.011602749 2015 0.785806011 2.708050201 1 0 0 1 0 4.189654742 2.437648494 2.079441542 0 14.08633966 0.022610622 0.060310846 0 0 0 1 0 0 0 1 0 0 0 0.035101822 1 3.583518938 0 0 0 3.88575026 0 0 4.234106505 0 0 1 0 0 0 0 4/8/17 0.863 0.894 0.838 0.695 0.708 0.633 0 0 0 0.434 0 0.875 0.956 1 0 0.993 0.621 0.937 0 0 0 0.931 0 0 0 0.664 0 0 0 0.596 0.608 0.975 0 0 0 0.155 0 0 0.602 0 0 0.652 0 0 0 0
Rwanda RWA 2016 0.014814173 0.005 0.01746777 0.021974751 2015 1.116383984 3.218875825 1 0 1 0 0 3.091042453 2.022953147 0 0 9.359622075 0.035807272 0.043608544 0 0 0 0 0 0 0 0 0 0 4.406719247 0.0545617 1 0 1 0 1 3.817306452 1 0 3.988984047 0 0 1 0 0 0 1 4/8/17 0.857 0.732 0.844 0.906 0.863 0.894 0 0 0.745 0 0 0.484 0.888 0 0 0.54 0.751 0.881 0 0 0 0 0 0 0 0 0 0 0.987 0.751 0.608 0 0.757 0 0.683 0.124 0.72 0 0.341 0 0 0.652 0 0 0 0.931
Uganda UGA 2016 0.014584492 0.007 0.025014487 0.011738988 2015 1.133760912 3.218875825 1 0 1 0 0 2.397895273 1.406629151 0 1 10.5721371 0.035381985 0.065405718 0 0 0 0 0 1 0 0 0 0 0 0.044233488 1 1.098612289 1 0 0 3.846429548 1 0 3.988984047 0 0 0 1 0 0 0 4/8/17 0.85 0.801 0.9 0.714 0.875 0.894 0 0 0.745 0 0 0.273 0.559 0 0.354 0.788 0.745 0.968 0 0 0 0 0 0.906 0 0 0 0 0 0.689 0.608 0.77 0.757 0 0 0.142 0.72 0 0.341 0 0 0 0.683 0 0 0
Ivory Coast IVO 2016 0.014141198 0.002 0.020726472 0.019697121 2015 1.125110192 2.772588722 1 0 1 0 0 1.609437912 2.419463172 0 1 10.03020831 0.042237035 0.046834076 0 0 0 0 0 0 1 0 0 0 0 0.1105695 1 2.944438979 0 0 0 4.416442724 1 0 4.025351691 0 0 0 1 0 0 0 4/8/17 0.844 0.571 0.875 0.875 0.869 0.658 0 0 0.745 0 0 0.18 0.944 0 0.354 0.664 0.801 0.906 0 0 0 0 0 0 0.869 0 0 0 0 0.962 0.608 0.869 0 0 0 0.534 0.72 0 0.397 0 0 0 0.683 0 0 0
Burkina Faso BFO 2016 0.01380028 0.012 0.019593304 0.009807538 2015 1.374416169 2.772588722 1 1 0 1 0 0 1.061797138 0 1 9.803998654 0.139204736 0.018865768 0 0 0 0 0 0 0 1 0 0 0 0.049933584 0 0 0 0 0 4.168421891 1 0 4.025351691 0 0 0 1 0 0 0 4/8/17 0.838 0.857 0.869 0.652 0.95 0.658 0 0.913 0 0.434 0 0 0.44 0 0.354 0.633 0.975 0.652 0 0 0 0 0 0 0 0.664 0 0 0 0.72 0 0 0 0 0 0.341 0.72 0 0.397 0 0 0 0.683 0 0 0
Mauritania MAA 2016 0.013513697 0.004 0.012562485 0.023978604 2015 1.054168478 2.397895273 1 0 1 0 0 1.945910149 -0.646009297 0 0 8.310906757 0.055133358 0.022345479 0 0 0 0 0 1 0 0 0 0 3.737669618 0.100876845 0 1.386294361 1 0 1 4.771003653 1 0 4.025351691 0 0 1 0 0 0 1 4/8/17 0.832 0.677 0.795 0.925 0.838 0.596 0 0 0.745 0 0 0.204 0.161 0 0 0.223 0.869 0.714 0 0 0 0 0 0.906 0 0 0 0 0.975 0.944 0 0.782 0.757 0 0.683 0.813 0.72 0 0.397 0 0 0.652 0 0 0 0.931
Chad CHA 2016 0.013136866 0.004 0.021539469 0.013871127 2015 1.537817609 2.397895273 1 0 1 0 0 3.17805383 -0.844192771 0 1 9.54945198 0.051700375 0.042331503 0 0 0 0 0 1 0 0 0 0 0 0.064696689 1 2.63905733 1 0 0 4.338943272 1 0 4.025351691 0 0 0 1 0 0 0 4/8/17 0.826 0.677 0.894 0.77 0.968 0.596 0 0 0.745 0 0 0.534 0.149 0 0.354 0.559 0.85 0.875 0 0 0 0 0 0.906 0 0 0 0 0 0.813 0.608 0.832 0.757 0 0 0.465 0.72 0 0.397 0 0 0 0.683 0 0 0
Iran IRN 2016 0.012383415 0.008 0.018710692 0.010439553 2015 0.691308703 3.496507561 1 0 0 0 0 2.48490665 -1.110980257 0 0 11.27858193 0.023849049 0.062782618 0 0 1 0 0 0 0 0 0 0 2.606386547 0.050149529 1 0 1 1 0 3.762664246 0 0 6.244166901 1 0 0 1 0 0 0 4/8/17 0.819 0.819 0.857 0.677 0.683 1 0 0 0 0 0 0.291 0.13 0 0 0.9 0.652 0.956 0 0 0.894 0 0 0 0 0 0 0 0.881 0.726 0.608 0 0.757 0.919 0 0.105 0 0 0.944 0.875 0 0 0.683 0 0 0
Haiti HAI 2016 0.012073845 0.008 0.018861 0.009360533 2015 0.923454723 2.197224577 1 0 0 0 1 0 -0.557447504 0 0 9.27902653 0.062142444 0.032079731 0 0 0 0 1 0 0 0 0 1 0 0.034043637 1 3.218875825 0 0 0 4.27344069 0 0 5.356586275 0 1 0 0 0 0 0 4/8/17 0.813 0.819 0.863 0.627 0.763 0.211 0 0 0 0 0.962 0 0.18 0 0 0.484 0.881 0.807 0 0 0 0 0.85 0 0 0 0 0.962 0 0.59 0.608 0.919 0 0 0 0.397 0 0 0.9 0 0.708 0 0 0 0 0
Zimbabwe ZIM 2016 0.011789771 0.004 0.009725418 0.021643895 2015 0.314988848 1.945910149 1 0 1 0 0 1.098612289 0.625272426 0 0 9.655218482 0.039829574 0.021274982 0 0 0 0 0 0 1 0 0 0 0.693147181 0.076533367 1 0 0 0 1 4.376522546 1 0 3.583518938 0 0 1 0 0 1 0 4/8/17 0.807 0.677 0.757 0.9 0.608 0.136 0 0 0.745 0 0 0.13 0.279 0 0 0.577 0.77 0.677 0 0 0 0 0 0 0.869 0 0 0 0.763 0.863 0.608 0 0 0 0.683 0.478 0.72 0 0.18 0 0 0.652 0 0 0.757 0
Angola ANG 2016 0.011512239 0.001 0.021161391 0.012375327 2015 1.412707082 1.945910149 1 0 1 0 0 2.944438979 -0.047135245 0 1 10.12751072 0.051890121 0.041402918 0 0 0 0 0 1 0 0 0 0 1.098612289 0.077865174 1 0 1 0 0 4.46218419 1 0 3.713572067 0 0 0 1 0 0 0 4/8/17 0.801 0.44 0.888 0.732 0.956 0.136 0 0 0.745 0 0 0.422 0.204 0 0.354 0.695 0.857 0.869 0 0 0 0 0 0.906 0 0 0 0 0.776 0.869 0.608 0 0.757 0 0 0.571 0.72 0 0.204 0 0 0 0.683 0 0 0
Cambodia CAM 2016 0.010781612 0.006 0.014173316 0.012171518 2015 0.965493151 2.302585093 1 0 1 0 0 2.890371758 2.311353419 0 0 9.653614941 0.039017243 0.032606867 1 0 0 0 0 1 0 0 0 0 1.386294361 0.098771721 1 0 0 0 0 4.860054414 0 0 4.143134726 0 1 0 0 0 0 0 4/8/17 0.795 0.776 0.807 0.726 0.788 0.304 0 0 0.745 0 0 0.403 0.931 0 0 0.571 0.757 0.813 0.881 0 0 0 0 0.906 0 0 0 0 0.801 0.931 0.608 0 0 0 0 0.85 0 0 0.546 0 0.708 0 0 0 0 0
Papua New Guinea PNG 2016 0.010208905 0.007 0.015649211 0.007977505 2015 0.704626566 2.302585093 1 1 1 0 0 3.713572067 2.512859268 0 0 8.938400406 0.075691525 0.022705555 1 0 0 0 0 0 0 1 0 0 0 0.054692758 1 0 0 0 0 4.875830032 0 0 3.713572067 0 1 0 0 0 0 0 4/8/17 0.788 0.801 0.819 0.565 0.689 0.304 0 0.913 0.745 0 0 0.745 0.975 0 0 0.397 0.913 0.726 0.881 0 0 0 0 0 0 0.664 0 0 0 0.757 0.608 0 0 0 0 0.857 0 0 0.204 0 0.708 0 0 0 0 0
Mozambique MZM 2016 0.009854214 0 0.020855027 0.008707614 2015 1.304161217 1.945910149 1 0 1 0 0 3.091042453 1.845643631 0 0 10.23917377 0.051625437 0.040889238 0 0 0 0 0 0 0 1 0 0 0 0.051075706 1 0 0 0 0 4.560833766 1 0 3.713572067 0 0 0 1 0 0 0 4/8/17 0.782 0 0.881 0.614 0.925 0.136 0 0 0.745 0 0 0.484 0.77 0 0 0.714 0.844 0.863 0 0 0 0 0 0 0 0.664 0 0 0 0.732 0.608 0 0 0 0 0.633 0.72 0 0.204 0 0 0 0.683 0 0 0
Syria SYR 2016 0.009846847 0.008 0.006518598 0.015021943 2015 -0.1994178 2.995732274 1 0 0 0 0 1.386294361 1.409378617 1.945910149 0 10.01462634 0.018640159 0.023582686 0 0 1 0 0 0 0 0 0 0 4.430816799 0.0399494 1 3.044522438 1 1 1 4.33698319 0 1 4.248495242 1 0 1 0 0 0 1 4/8/17 0.776 0.819 0.689 0.801 0.44 0.782 0 0 0 0 0 0.161 0.565 0.975 0 0.658 0.552 0.745 0 0 0.894 0 0 0 0 0 0 0 0.993 0.67 0.608 0.888 0.757 0.919 0.683 0.453 0 0.956 0.614 0.875 0 0.652 0 0 0 0.931
Kyrgyzstan KYR 2016 0.009693068 0.003 0.002651924 0.02342728 2015 0.375185325 3.091042453 1 0 0 1 0 1.609437912 1.437302317 0 1 8.687779492 0.018206039 0.009024728 0 0 0 1 0 0 1 0 0 0 2.63905733 0.118722876 0 0 0 0 1 4.828488361 0 0 3.218875825 0 0 0 1 0 1 0 4/8/17 0.77 0.621 0.484 0.919 0.614 0.813 0 0 0 0.434 0 0.18 0.583 0 0.354 0.329 0.54 0.472 0 0 0 0.931 0 0 0.869 0 0 0 0.888 0.975 0 0 0 0 0.683 0.844 0 0 0.049 0 0 0 0.683 0 0.757 0
Libya LIB 2016 0.00966421 0.013 0.005212296 0.010780335 2015 -0.506723143 2.708050201 1 0 0 0 1 0 -2.703061664 1.098612289 1 8.744806737 0.021489501 0.016711246 0 0 1 0 0 0 0 0 0 1 0 0.029634902 1 3.044522438 0 0 1 4.969017058 0 0 4.17438727 0 0 0 1 0 1 0 4/8/17 0.763 0.869 0.608 0.683 0.366 0.633 0 0 0 0 0.962 0 0.024 0.881 0.354 0.347 0.602 0.621 0 0 0.894 0 0 0 0 0 0 0.962 0 0.571 0.608 0.888 0 0 0.683 0.906 0 0 0.559 0 0 0 0.683 0 0.757 0
Guinea-Bissau GNB 2016 0.009575613 0.004 0.010142472 0.014584366 2015 1.543663607 2.772588722 1 1 0 1 0 0.693147181 1.569616569 0 1 7.519692404 0.135041722 0.009356934 0 0 0 0 0 0 0 1 0 0 0 0.05674645 0 1.386294361 0 0 0 3.687426631 1 0 3.737669618 0 0 0 1 0 0 0 4/8/17 0.757 0.677 0.776 0.782 0.975 0.658 0 0.913 0 0.434 0 0.074 0.627 0 0.354 0.099 0.956 0.484 0 0 0 0 0 0 0 0.664 0 0 0 0.782 0 0.782 0 0 0 0.074 0.72 0 0.229 0 0 0 0.683 0 0 0
North Korea PRK 2016 0.009489101 0.015 0.00520822 0.008259082 2015 0.217301276 2.302585093 1 0 0 0 0 4.219507705 1 0 0 10.12595908 0.01392283 0.022726704 1 0 0 0 0 0 0 0 0 0 0 0.019426009 1 0 1 1 0 2.756840365 0 1 4.219507705 1 1 0 0 0 0 0 4/8/17 0.751 0.888 0.602 0.577 0.583 0.304 0 0 0 0 0 0.894 0.422 0 0 0.689 0.459 0.732 0.881 0 0 0 0 0 0 0 0 0 0 0.447 0.608 0 0.757 0.919 0 0.006 0 0.956 0.577 0.875 0.708 0 0 0 0 0
Nepal NEP 2016 0.008946644 0.003 0.005424168 0.018415765 2015 0.719815428 3.091042453 1 0 0 1 0 2.302585093 1.479753131 0 1 10.25815047 0.020324293 0.018156368 0 0 0 1 0 0 1 0 0 0 0 0.087579136 1 1.609437912 0 0 0 3.967872494 0 0 5.513428746 0 0 0 1 0 0 0 4/8/17 0.745 0.621 0.627 0.85 0.695 0.813 0 0 0 0.434 0 0.236 0.602 0 0.354 0.72 0.571 0.639 0 0 0 0.931 0 0 0.869 0 0 0 0 0.906 0.608 0.819 0 0 0 0.198 0 0 0.913 0 0 0 0.683 0 0 0
Niger NIR 2016 0.008627759 0.004 0.009169203 0.012714072 2015 1.490486522 2.397895273 1 0 0 1 0 1.609437912 0.934534827 0 1 9.898424758 0.046030774 0.018000862 0 0 0 0 0 0 0 1 0 0 0 0.056413714 0 1.386294361 0 0 0 3.997936079 1 0 4.025351691 0 0 0 1 0 0 0 4/8/17 0.739 0.677 0.739 0.739 0.962 0.596 0 0 0 0.434 0 0.18 0.397 0 0.354 0.645 0.813 0.633 0 0 0 0 0 0 0 0.664 0 0 0 0.763 0 0.782 0 0 0 0.236 0.72 0 0.397 0 0 0 0.683 0 0 0
Congo-Brazzaville CON 2016 0.008589312 0.004 0.01007264 0.011695295 2015 1.111733214 2.197224577 1 0 1 0 0 2.944438979 0.552601898 0 1 8.438149984 0.039297327 0.022318644 0 0 0 0 0 0 0 0 0 0 3.091042453 0.04464136 1 0 1 0 1 4.964517333 1 0 4.025351691 0 0 0 1 0 1 0 4/8/17 0.732 0.677 0.77 0.708 0.857 0.211 0 0 0.745 0 0 0.422 0.273 0 0.354 0.254 0.763 0.708 0 0 0 0 0 0 0 0 0 0 0.925 0.695 0.608 0 0.757 0 0.683 0.9 0.72 0 0.397 0 0 0 0.683 0 0.757 0
Togo TOG 2016 0.008581265 0.006 0.009971919 0.009771874 2015 0.864209933 2.772588722 1 0 1 0 0 3.135494216 1.580979215 0 1 8.896314324 0.027480147 0.028460589 0 0 0 0 0 1 0 0 0 0 0 0.037504849 0 0 1 0 1 5.018498456 1 0 4.025351691 0 0 0 1 0 0 1 4/8/17 0.726 0.776 0.763 0.639 0.739 0.658 0 0 0.745 0 0 0.509 0.633 0 0.354 0.391 0.677 0.782 0 0 0 0 0 0.906 0 0 0 0 0 0.639 0 0 0.757 0 0.683 0.919 0.72 0 0.397 0 0 0 0.683 0 0 0.931
Algeria ALG 2016 0.008501102 0.003 0.009427623 0.013075683 2015 0.096240069 2.833213344 1 0 1 0 0 2.48490665 1.304925754 0 1 10.58827489 0.018117272 0.035985661 0 0 1 0 0 1 0 0 0 0 0 0.040393322 1 0 0 1 1 4.135334775 0 0 3.988984047 0 0 1 0 0 1 0 4/8/17 0.72 0.621 0.751 0.745 0.54 0.745 0 0 0.745 0 0 0.291 0.546 0 0.354 0.795 0.534 0.819 0 0 0.894 0 0 0.906 0 0 0 0 0 0.677 0.608 0 0 0.919 0.683 0.304 0 0 0.341 0 0 0.652 0 0 0.757 0
Bhutan BHU 2016 0.008142296 0 0.005397439 0.019029449 2015 0.633686274 3.091042453 1 0 1 0 0 2.079441542 2.440080831 0 0 6.652863029 0.031067875 0.013359287 0 0 0 1 0 1 0 0 0 0 3.583518938 0.073758024 0 0 0 0 1 4.53927202 0 0 4.875197323 0 0 1 0 0 0 1 4/8/17 0.714 0 0.621 0.869 0.639 0.813 0 0 0.745 0 0 0.217 0.962 0 0 0.018 0.714 0.534 0 0 0 0.931 0 0.906 0 0 0 0 0.968 0.844 0 0 0 0 0.683 0.627 0 0 0.732 0 0 0.652 0 0 0 0.931
Djibouti DJI 2016 0.008129532 0.013 0.005754709 0.005633887 2015 0.938349496 2.833213344 1 0 1 0 0 2.833213344 1.897161605 0 1 6.788971743 0.02987891 0.014726747 0 0 0 0 0 0 0 1 0 0 0 0.035578982 0 0 0 0 0 4.899613012 1 0 3.663561646 0 0 0 1 0 0 0 4/8/17 0.708 0.869 0.658 0.422 0.77 0.745 0 0 0.745 0 0 0.391 0.819 0 0.354 0.037 0.701 0.577 0 0 0 0 0 0 0 0.664 0 0 0 0.602 0 0 0 0 0 0.881 0.72 0 0.192 0 0 0 0.683 0 0 0
Gambia GAM 2016 0.008086309 0.001 0.017747089 0.005511839 2015 1.209989827 2.772588722 1 1 1 0 0 2.944438979 1.253684729 0 1 7.596392304 0.099057039 0.021540347 0 0 0 0 0 0 0 0 0 0 0 0.022757469 0 0 1 0 0 4.249487573 1 0 3.931825633 0 0 0 1 0 0 0 4/8/17 0.701 0.44 0.85 0.409 0.894 0.658 0 0.913 0.745 0 0 0.422 0.527 0 0.354 0.111 0.944 0.689 0 0 0 0 0 0 0 0 0 0 0 0.503 0 0 0.757 0 0 0.391 0.72 0 0.31 0 0 0 0.683 0 0 0
Madagascar MAG 2016 0.007825152 0.002 0.003702918 0.017772537 2015 0.829331833 0 1 0 0 1 0 0.693147181 0.459693077 0 1 10.09555315 0.054251823 0.005969729 0 0 0 0 0 0 1 0 0 0 0 0.113742792 0 1.098612289 0 0 0 4.312910819 1 0 4.025351691 0 0 0 1 0 0 0 4/8/17 0.695 0.571 0.509 0.826 0.726 0 0 0 0 0.434 0 0.074 0.242 0 0.354 0.683 0.863 0.366 0 0 0 0 0 0 0.869 0 0 0 0 0.968 0 0.77 0 0 0 0.422 0.72 0 0.397 0 0 0 0.683 0 0 0
China CHN 2016 0.007755649 0.003 0.011605453 0.008661493 2015 -0.426412447 3.044522438 1 0 0 0 0 4.204692619 2.524120498 0.693147181 0 14.13093425 0.007697832 0.082960108 1 0 0 0 0 0 0 0 0 0 0.760805829 0.012996071 1 2.708050201 1 1 1 3.726618012 0 0 7.712890961 1 1 0 0 0 1 0 4/8/17 0.689 0.621 0.788 0.602 0.378 0.801 0 0 0 0 0 0.881 0.981 0.832 0 1 0.291 0.993 0.881 0 0 0 0 0 0 0 0 0 0.77 0.316 0.608 0.838 0.757 0.919 0.683 0.093 0 0 1 0.875 0.708 0 0 0 0.757 0
Jordan JOR 2016 0.007691872 0 0.004647356 0.018428259 2015 -0.227350762 3.258096538 1 0 1 0 0 3.295836866 0.518873412 0 0 8.815518424 0.014205386 0.019794062 0 0 1 0 0 1 0 0 0 0 4.025351691 0.073741918 1 0 1 0 1 4.722891823 0 0 4.248495242 0 0 1 0 0 0 1 4/8/17 0.683 0 0.565 0.857 0.434 0.925 0 0 0.745 0 0 0.664 0.254 0 0 0.366 0.465 0.664 0 0 0.894 0 0 0.906 0 0 0 0 0.981 0.838 0.608 0 0.757 0 0.683 0.751 0 0 0.614 0 0 0.652 0 0 0 0.931
Zambia ZAM 2016 0.007542386 0.002 0.00544265 0.015184507 2015 1.222740738 1.945910149 1 0 0 1 0 2.708050201 0.705119401 0 1 9.693506988 0.034178362 0.012597609 0 0 0 0 0 0 0 1 0 0 0 0.048016125 0 0 0 0 1 4.366069218 1 0 3.951243719 0 0 0 1 0 1 0 4/8/17 0.677 0.571 0.633 0.807 0.9 0.136 0 0 0 0.434 0 0.341 0.298 0 0.354 0.59 0.732 0.521 0 0 0 0 0 0 0 0.664 0 0 0 0.708 0 0 0 0 0.683 0.472 0.72 0 0.322 0 0 0 0.683 0 0.757 0
Sierra Leone SIE 2016 0.007389835 0.005 0.006252631 0.010916873 2015 1.324882234 2.772588722 1 0 0 1 0 2.63905733 -4.748459442 0 1 8.772300418 0.040595764 0.012965172 0 0 0 0 0 0 0 1 0 0 0 0.048090886 1 0 0 0 0 3.937062918 1 0 4.007333185 0 0 0 1 0 0 0 4/8/17 0.67 0.732 0.677 0.689 0.937 0.658 0 0 0 0.434 0 0.31 0.006 0 0.354 0.354 0.776 0.527 0 0 0 0 0 0 0 0.664 0 0 0 0.714 0.608 0 0 0 0 0.192 0.72 0 0.378 0 0 0 0.683 0 0 0
Morocco MOR 2016 0.007366603 0.008 0.009281953 0.004817855 2015 0.213917178 2.833213344 1 0 1 0 0 3.931825633 1.859059365 0 0 10.4451721 0.017533873 0.036211012 0 0 1 0 0 0 0 0 0 0 0 0.020538193 0 0 1 0 0 4.393017155 0 0 4.094344562 0 0 1 0 0 0 0 4/8/17 0.664 0.819 0.745 0.378 0.577 0.745 0 0 0.745 0 0 0.813 0.788 0 0 0.763 0.515 0.826 0 0 0.894 0 0 0 0 0 0 0 0 0.453 0 0 0.757 0 0 0.503 0 0 0.527 0 0 0.652 0 0 0 0
Lebanon LEB 2016 0.007347194 0.003 0.000853637 0.018187946 2015 -0.8983472 3.258096538 1 0 0 1 0 2.397895273 0.19772398 0 0 8.444192299 0.007800491 0.004824191 0 0 1 0 0 0 1 0 0 0 2.397895273 0.076350446 0 0 0 0 1 4.701759067 0 0 4.290459441 0 1 0 0 0 1 0 4/8/17 0.658 0.621 0.298 0.838 0.26 0.925 0 0 0 0.434 0 0.273 0.211 0 0 0.26 0.298 0.273 0 0 0.894 0 0 0 0.869 0 0 0 0.863 0.857 0 0 0 0 0.683 0.745 0 0 0.627 0 0.708 0 0 0 0.757 0
Malaysia MAL 2016 0.007344254 0.001 0.006050616 0.014982147 2015 -0.361823686 2.302585093 1 0 1 0 0 2.079441542 1.898855067 0 0 10.31992557 0.018263327 0.022063086 1 0 0 0 0 0 1 0 0 0 0 0.066537469 0 0 0 0 1 4.930552321 0 0 4.077537444 0 0 1 0 0 1 0 4/8/17 0.652 0.44 0.67 0.795 0.397 0.304 0 0 0.745 0 0 0.217 0.826 0 0 0.726 0.546 0.701 0.881 0 0 0 0 0 0.869 0 0 0 0 0.819 0 0 0 0 0.683 0.888 0 0 0.515 0 0 0.652 0 0 0.757 0
Philippines PHI 2016 0.007328021 0 0.003699032 0.018285032 2015 0.159049259 1.945910149 1 0 0 1 0 3.36729583 1.931613124 1.386294361 1 11.51989115 0.015520147 0.014505721 1 0 0 0 0 0 0 1 0 0 0 0.037298311 1 3.044522438 0 0 1 4.111742131 0 0 4.770684624 0 1 0 0 0 1 0 4/8/17 0.645 0 0.503 0.844 0.552 0.136 0 0 0 0.434 0 0.689 0.857 0.906 0.354 0.931 0.496 0.571 0.881 0 0 0 0 0 0 0.664 0 0 0 0.627 0.608 0.888 0 0 0.683 0.298 0 0 0.726 0 0.708 0 0 0 0.757 0
Gabon GAB 2016 0.007315896 0 0.008415963 0.013531724 2015 0.882832445 2.772588722 1 0 1 0 0 1.945910149 1.59538401 0 0 7.452982329 0.041620836 0.017608637 0 0 0 0 0 0 1 0 0 0 0 0.092933874 0 0 0 0 0 4.43436628 1 0 4.025351691 0 0 0 1 0 0 0 4/8/17 0.639 0 0.72 0.757 0.751 0.658 0 0 0.745 0 0 0.204 0.639 0 0 0.093 0.795 0.627 0 0 0 0 0 0 0.869 0 0 0 0 0.919 0 0 0 0 0 0.54 0.72 0 0.397 0 0 0 0.683 0 0 0
Thailand THI 2016 0.006964701 0.004 0.014008025 0.002886076 2015 -0.682446308 2.197224577 1 1 1 0 0 0.693147181 1.596398846 0.693147181 0 11.12665986 0.05811059 0.024256676 1 0 0 0 0 0 0 0 0 0 0 0.009664967 0 3.17805383 1 0 0 4.881136555 0 0 6.501289671 0 0 0 1 0 0 0 4/8/17 0.633 0.677 0.801 0.273 0.322 0.211 0 0.913 0.745 0 0 0.074 0.645 0.832 0 0.881 0.875 0.757 0.881 0 0 0 0 0 0 0 0 0 0 0.267 0 0.913 0.757 0 0 0.869 0 0 0.956 0 0 0 0.683 0 0 0
Russia RUS 2016 0.006860093 0.005 0.005190119 0.01039016 2015 -1.00571431 2.197224577 1 0 1 0 0 2.772588722 -1.935572028 0.693147181 1 11.87627608 0.010929118 0.026889226 0 1 0 0 0 0 0 1 0 0 0.470003629 0.015579727 1 2.833213344 0 0 1 3.968263413 0 0 3.218875825 0 1 0 0 0 1 0 4/8/17 0.627 0.732 0.59 0.67 0.242 0.211 0 0 0.745 0 0 0.36 0.068 0.832 0.354 0.95 0.385 0.77 0 0.751 0 0 0 0 0 0.664 0 0 0.757 0.378 0.608 0.857 0 0 0.683 0.217 0 0 0.049 0 0.708 0 0 0 0.757 0
Colombia COL 2016 0.006826504 0.006 0.001253627 0.013225884 2015 -0.267678808 0 1 0 0 1 0 4.077537444 1.387444282 1.609437912 1 10.78371578 0.015039881 0.004588317 0 0 0 0 1 0 1 0 0 0 0 0.03625073 1 3.526360525 0 0 0 3.623705938 0 0 5.283203729 0 0 1 0 0 0 0 4/8/17 0.621 0.776 0.378 0.751 0.428 0 0 0 0 0.434 0 0.85 0.552 0.925 0.354 0.832 0.484 0.26 0 0 0 0 0.85 0 0.869 0 0 0 0 0.608 0.608 0.962 0 0 0 0.055 0 0 0.875 0 0 0.652 0 0 0 0
Indonesia INS 2016 0.006786034 0.004 0.006254446 0.010103655 2015 0.242735209 2.302585093 1 0 0 1 0 2.833213344 1.855124616 0 0 12.45902351 0.017921597 0.023182388 1 0 0 0 0 0 0 1 0 0 0.336472237 0.04148012 1 0 0 0 0 3.875388683 0 0 4.204692619 0 0 0 1 0 0 0 4/8/17 0.614 0.677 0.683 0.658 0.596 0.304 0 0 0 0.434 0 0.391 0.776 0 0 0.981 0.521 0.739 0.881 0 0 0 0 0 0 0.664 0 0 0.751 0.683 0.608 0 0 0 0 0.149 0 0 0.565 0 0 0 0.683 0 0 0
Bolivia BOL 2016 0.006782615 0 0.002401602 0.017946244 2015 0.676744696 1.609437912 1 0 0 1 0 3.526360525 1.68698671 0 1 9.280332744 0.020347692 0.007488904 0 0 0 0 1 0 1 0 0 0 0 0.064039927 0 0 0 0 1 4.445757836 0 0 5.252273428 0 0 0 1 0 1 0 4/8/17 0.608 0 0.478 0.832 0.658 0.068 0 0 0 0.434 0 0.72 0.726 0 0.354 0.49 0.577 0.416 0 0 0 0 0.85 0 0.869 0 0 0 0 0.801 0 0 0 0 0.683 0.559 0 0 0.844 0 0 0 0.683 0 0.757 0
Equatorial Guinea EQG 2016 0.0065721 0.007 0.005520496 0.007195806 2015 1.289237708 2.772588722 1 0 0 0 0 3.850147602 -3.812444918 0 1 6.739336627 0.030066638 0.014013279 0 0 0 0 0 0 0 0 0 0 0 0.02420757 1 0 1 0 1 5.092258339 1 0 3.871201011 1 0 1 0 0 0 1 4/8/17 0.602 0.801 0.645 0.509 0.919 0.658 0 0 0 0 0 0.788 0.012 0 0.354 0.031 0.708 0.559 0 0 0 0 0 0 0 0 0 0 0 0.509 0.608 0 0.757 0 0.683 0.95 0.72 0 0.273 0.875 0 0.652 0 0 0 0.931
Eritrea ERI 2016 0.006321879 0.003 0.010375766 0.00558987 2015 0.677811079 2.197224577 1 1 0 0 0 3.135494216 1.194813994 0 0 8.561784075 0.065987697 0.015953194 0 0 0 0 0 0 0 0 0 0 0 0.01584347 0 0 1 0 0 3.62513834 1 0 3.135494216 1 0 0 1 0 0 0 4/8/17 0.596 0.621 0.782 0.416 0.67 0.211 0 0.913 0 0 0 0.509 0.496 0 0 0.291 0.888 0.614 0 0 0 0 0 0 0 0 0 0 0 0.385 0 0 0.757 0 0 0.062 0.72 0 0.024 0.875 0 0 0.683 0 0 0
Venezuela VEN 2016 0.006003185 0.001 0.008267918 0.008741637 2015 -0.007638652 1.609437912 1 0 1 0 0 1.098612289 -2.674425973 0 1 10.3452203 0.03263864 0.020526383 0 0 0 0 1 0 1 0 0 0 0 0.038112616 0 0 0 0 0 3.99411459 0 0 5.225746674 0 0 1 0 0 0 0 4/8/17 0.59 0.44 0.714 0.621 0.503 0.068 0 0 0.745 0 0 0.13 0.031 0 0.354 0.732 0.72 0.67 0 0 0 0 0.85 0 0.869 0 0 0 0 0.645 0 0 0 0 0 0.229 0 0 0.826 0 0 0.652 0 0 0 0
Tunisia TUN 2016 0.005906843 0.008 0.00299071 0.006729819 2015 0.159496787 2.833213344 1 0 0 1 0 0.693147181 -0.468445923 0 1 9.316230747 0.021228504 0.009219427 0 0 1 0 0 0 0 1 0 0 0 0.038220959 0 0 0 0 0 4.605179879 0 0 4.094344562 0 1 0 0 0 0 0 4/8/17 0.583 0.819 0.496 0.496 0.559 0.745 0 0 0 0.434 0 0.074 0.186 0 0.354 0.515 0.596 0.478 0 0 0.894 0 0 0 0 0.664 0 0 0 0.652 0 0 0 0 0 0.664 0 0 0.527 0 0.708 0 0 0 0 0
Malawi MAW 2016 0.005859657 0 0.00397563 0.013603339 2015 0.886948122 1.945910149 1 0 0 1 0 3.091042453 0.260846726 0 1 9.753536376 0.025650588 0.010978886 0 0 0 0 0 0 1 0 0 0 0 0.100187295 1 0 0 0 0 4.624090259 1 0 3.951243719 0 0 0 1 0 0 0 4/8/17 0.577 0 0.515 0.763 0.757 0.136 0 0 0 0.434 0 0.484 0.223 0 0.354 0.608 0.67 0.509 0 0 0 0 0 0 0.869 0 0 0 0 0.937 0.608 0 0 0 0 0.689 0.72 0 0.322 0 0 0 0.683 0 0 0
Laos LAO 2016 0.005781541 0.004 0.00729814 0.006046482 2015 1.022396181 2.302585093 1 0 0 0 0 3.713572067 2.239351377 0 0 8.824971966 0.025615559 0.021280208 1 0 0 0 0 0 0 0 0 0 0 0.036302692 1 0 1 1 0 4.501298623 0 0 4.204692619 1 0 1 0 0 0 0 4/8/17 0.571 0.677 0.701 0.453 0.813 0.304 0 0 0 0 0 0.745 0.913 0 0 0.372 0.664 0.683 0.881 0 0 0 0 0 0 0 0 0 0 0.614 0.608 0 0.757 0.919 0 0.596 0 0 0.565 0.875 0 0.652 0 0 0 0
Oman OMA 2016 0.005747567 0.012 0.002293496 0.002949205 2015 -0.340942987 3.258096538 1 0 0 0 0 4.077537444 0.878531186 0 0 8.409830673 0.008091516 0.01371524 0 0 1 0 0 0 0 0 0 0 0 0.012758972 0 0 1 0 0 4.748535959 0 0 5.902633333 1 0 1 0 0 0 0 4/8/17 0.565 0.857 0.465 0.279 0.416 0.925 0 0 0 0 0 0.85 0.372 0 0 0.236 0.31 0.54 0 0 0.894 0 0 0 0 0 0 0 0 0.31 0 0 0.757 0 0 0.788 0 0 0.919 0.875 0 0.652 0 0 0 0
Ecuador ECU 2016 0.005528856 0.005 0.004881949 0.006704617 2015 -0.092009414 1.609437912 1 0 1 0 0 2.772588722 -1.234955415 0 1 9.689303743 0.021064424 0.015785196 0 0 0 0 1 0 0 1 0 0 3.384390263 0.027435356 0 0 0 0 0 4.072028079 0 0 5.225746674 0 0 0 1 0 0 0 4/8/17 0.559 0.732 0.571 0.49 0.459 0.068 0 0 0.745 0 0 0.36 0.111 0 0.354 0.583 0.583 0.608 0 0 0 0 0.85 0 0 0.664 0 0 0.962 0.546 0 0 0 0 0 0.279 0 0 0.826 0 0 0 0.683 0 0 0
Tajikistan TAJ 2016 0.00548369 0.001 0.009081283 0.006369788 2015 0.576970044 3.091042453 1 0 1 0 0 2.890371758 0.937719804 0 1 9.04570155 0.022830232 0.029312177 0 0 0 1 0 1 0 0 0 0 0 0.032001525 0 0 1 0 0 4.471760054 0 0 3.218875825 0 0 1 0 0 0 0 4/8/17 0.552 0.44 0.726 0.465 0.633 0.813 0 0 0.745 0 0 0.403 0.403 0 0.354 0.422 0.627 0.788 0 0 0 0.931 0 0.906 0 0 0 0 0 0.577 0 0 0.757 0 0 0.577 0 0 0.049 0 0 0.652 0 0 0 0
South Africa SAF 2016 0.005422166 0 0.004350656 0.011915841 2015 0.548874951 1.945910149 1 0 0 1 0 3.091042453 -0.690454169 0 1 10.9108431 0.021090763 0.013914717 0 0 0 0 0 0 0 1 0 0 0 0.028611941 1 0 0 0 1 4.164549477 1 0 4.663439094 0 0 0 1 0 1 0 4/8/17 0.546 0 0.546 0.72 0.627 0.136 0 0 0 0.434 0 0.484 0.155 0 0.354 0.857 0.59 0.552 0 0 0 0 0 0 0 0.664 0 0 0 0.552 0.608 0 0 0 0.683 0.335 0.72 0 0.695 0 0 0 0.683 0 0.757 0
Kazakhstan KZK 2016 0.005177888 0.001 0.005158002 0.009375661 2015 0.093376105 3.091042453 1 0 0 0 0 3.218875825 -0.579289995 0 1 9.770298958 0.011898593 0.025143609 0 0 0 1 0 0 0 0 0 0 3.218875825 0.021097722 0 0 1 0 1 4.174450528 0 0 3.218875825 1 0 1 0 0 1 0 4/8/17 0.54 0.44 0.583 0.633 0.534 0.813 0 0 0 0 0 0.565 0.173 0 0.354 0.614 0.422 0.763 0 0 0 0.931 0 0 0 0 0 0 0.95 0.465 0 0 0.757 0 0.683 0.347 0 0 0.049 0.875 0 0.652 0 0 0.757 0
Kenya KEN 2016 0.005157527 0.001 0.006997219 0.007475363 2015 0.725928539 3.218875825 1 0 0 1 0 2.63905733 1.632660416 0 0 10.73748304 0.022310895 0.022421199 0 0 0 0 0 0 0 1 0 0 0 0.029124905 0 0 0 0 0 3.917547808 1 0 3.970291914 0 0 0 1 0 0 0 4/8/17 0.534 0.44 0.695 0.534 0.701 0.894 0 0 0 0.434 0 0.31 0.67 0 0 0.819 0.614 0.72 0 0 0 0 0 0 0 0.664 0 0 0 0.559 0 0 0 0 0 0.18 0.72 0 0.335 0 0 0 0.683 0 0 0
Uzbekistan UZB 2016 0.005078065 0.005 0.005208114 0.005026081 2015 0.007580745 3.091042453 1 0 0 0 0 3.218875825 2.59217441 0 1 10.34785281 0.009709777 0.029356695 0 0 0 1 0 0 0 0 0 0 0 0.009426749 0 0 1 1 1 3.926049195 0 0 3.218875825 1 0 1 0 0 1 0 4/8/17 0.527 0.732 0.596 0.385 0.509 0.813 0 0 0 0 0 0.565 0.987 0 0.354 0.739 0.347 0.795 0 0 0 0.931 0 0 0 0 0 0 0 0.26 0 0 0.757 0.919 0.683 0.186 0 0 0.049 0.875 0 0.652 0 0 0.757 0
Azerbaijan AZE 2016 0.004896993 0.001 0.005266026 0.008424952 2015 0.298382945 3.258096538 1 0 0 0 0 3.044522438 0.545519631 0 1 9.174816816 0.013121114 0.023990885 0 1 0 0 0 0 0 0 0 0 0 0.0179901 1 0 1 0 1 4.241459192 0 0 3.218875825 1 1 0 0 0 1 0 4/8/17 0.521 0.44 0.614 0.59 0.602 0.925 0 0 0 0 0 0.478 0.26 0 0.354 0.447 0.447 0.751 0 0.751 0 0 0 0 0 0 0 0 0 0.416 0.608 0 0.757 0 0.683 0.385 0 0 0.049 0.875 0.708 0 0 0 0.757 0
Armenia ARM 2016 0.004750058 0.001 0.002932415 0.01031776 2015 -0.343899382 3.258096538 1 0 1 0 0 2.890371758 1.680708853 0 1 8.012349639 0.011152256 0.014256264 0 1 0 0 0 0 1 0 0 0 0 0.058977927 0 0 0 0 0 4.322606971 0 0 3.218875825 0 1 0 0 0 0 0 4/8/17 0.515 0.44 0.49 0.664 0.409 0.925 0 0 0.745 0 0 0.403 0.714 0 0.354 0.18 0.409 0.565 0 0.751 0 0 0 0 0.869 0 0 0 0 0.788 0 0 0 0 0 0.434 0 0 0.049 0 0.708 0 0 0 0 0
Vietnam VIE 2016 0.004539276 0.005 0.006049085 0.002568742 2015 -0.035522496 2.302585093 1 0 0 0 0 4.127134385 2.360994985 0 0 11.42643032 0.011138937 0.031338708 1 0 0 0 0 0 0 0 0 0 0 0.015932502 1 0 1 1 0 5.133056524 0 0 3.688879454 1 1 0 0 0 0 0 4/8/17 0.509 0.732 0.664 0.242 0.478 0.304 0 0 0 0 0 0.863 0.937 0 0 0.919 0.397 0.801 0.881 0 0 0 0 0 0 0 0 0 0 0.391 0.608 0 0.757 0.919 0 0.968 0 0 0.198 0.875 0.708 0 0 0 0 0
Turkmenistan TKM 2016 0.004398108 0.003 0.00544605 0.004748273 2015 0.658711641 3.091042453 1 0 0 0 0 3.218875825 2.242672901 0 1 8.589327789 0.01567273 0.021933457 0 0 0 1 0 0 0 0 0 0 2.079441542 0.025304684 0 0 1 0 0 4.767725071 0 0 3.218875825 1 0 1 0 0 0 0 4/8/17 0.503 0.621 0.639 0.366 0.645 0.813 0 0 0 0 0 0.565 0.919 0 0.354 0.298 0.509 0.695 0 0 0 0.931 0 0 0 0 0 0 0.857 0.527 0 0 0.757 0 0 0.807 0 0 0.049 0.875 0 0.652 0 0 0 0
Liberia LBR 2016 0.004332968 0 0.005667836 0.007331067 2015 1.264798064 2.772588722 1 0 0 1 0 2.302585093 -1.58740371 0 0 8.41249912 0.04322462 0.01114306 0 0 0 0 0 0 0 1 0 0 0 0.045942337 1 0 0 0 0 4.786829162 1 0 5.129898715 0 0 0 1 0 0 0 4/8/17 0.496 0 0.652 0.515 0.913 0.658 0 0 0 0.434 0 0.236 0.074 0 0 0.242 0.807 0.515 0 0 0 0 0 0 0 0.664 0 0 0 0.701 0.608 0 0 0 0 0.826 0.72 0 0.788 0 0 0 0.683 0 0 0
Senegal SEN 2016 0.004173594 0 0.004964407 0.007556376 2015 0.995028671 2.772588722 1 0 0 1 0 2.772588722 1.856948529 0 1 9.624368711 0.023536984 0.014856627 0 0 0 0 0 0 0 1 0 0 0 0.037374659 0 0 0 0 0 4.30014394 1 0 4.025351691 0 0 0 1 0 0 0 4/8/17 0.49 0 0.577 0.546 0.795 0.658 0 0 0 0.434 0 0.36 0.782 0 0.354 0.565 0.645 0.583 0 0 0 0 0 0 0 0.664 0 0 0 0.633 0 0 0 0 0 0.416 0.72 0 0.397 0 0 0 0.683 0 0 0
Saudi Arabia SAU 2016 0.004079791 0 0.004112952 0.008126422 2015 -0.301864208 3.258096538 1 0 0 0 0 4.49980967 1.1516671 0 0 10.35901186 0.007579295 0.027081891 0 0 1 0 0 0 0 0 0 0 2.772588722 0.024786731 0 0 1 1 1 4.393335805 0 0 4.430816799 1 1 0 0 0 1 0 4/8/17 0.484 0 0.521 0.571 0.422 0.925 0 0 0 0 0 0.944 0.478 0 0 0.751 0.285 0.776 0 0 0.894 0 0 0 0 0 0 0 0.906 0.521 0 0 0.757 0.919 0.683 0.509 0 0 0.633 0.875 0.708 0 0 0 0.757 0
Bahrain BAH 2016 0.004059733 0.002 0.001574365 0.008604836 2015 -0.711953191 3.258096538 1 0 0 0 0 1.386294361 1.063419341 0 0 7.227662499 0.010314542 0.007677119 0 0 1 0 0 0 0 0 0 0 4.477336814 0.026518947 0 0 1 0 1 4.747374965 0 0 3.80666249 1 0 1 0 0 0 1 4/8/17 0.478 0.571 0.409 0.596 0.316 0.925 0 0 0 0 0 0.161 0.447 0 0 0.086 0.366 0.428 0 0 0.894 0 0 0 0 0 0 0 1 0.534 0 0 0.757 0 0.683 0.782 0 0 0.242 0.875 0 0.652 0 0 0 0.931
Benin BEN 2016 0.004041891 0 0.004570404 0.00755527 2015 1.072291482 2.772588722 1 0 0 1 0 3.218875825 1.611796274 0 1 9.29468152 0.023091369 0.013764953 0 0 0 0 0 0 0 1 0 0 0 0.039657917 0 0 0 0 0 4.397391075 1 0 4.025351691 0 0 0 1 0 0 0 4/8/17 0.472 0 0.552 0.54 0.85 0.658 0 0 0 0.434 0 0.565 0.658 0 0.354 0.509 0.639 0.546 0 0 0 0 0 0 0 0.664 0 0 0 0.664 0 0 0 0 0 0.515 0.72 0 0.397 0 0 0 0.683 0 0 0
Brazil BRA 2016 0.003996588 0.002 0.004166105 0.005823657 2015 -0.024167954 1.609437912 1 0 0 1 0 3.433987204 -2.153703483 0 0 12.24456232 0.017981434 0.014867003 0 0 0 0 1 0 0 1 0 0 0 0.013367818 0 0 0 0 0 3.223164955 0 0 5.252273428 0 0 1 0 0 0 0 4/8/17 0.465 0.571 0.534 0.434 0.484 0.068 0 0 0 0.434 0 0.695 0.049 0 0 0.975 0.527 0.59 0 0 0 0 0.85 0 0 0.664 0 0 0 0.329 0 0 0 0 0 0.018 0 0 0.844 0 0 0.652 0 0 0 0
Ghana GHA 2016 0.003836553 0.001 0.004646946 0.005862711 2015 0.673538709 2.772588722 1 0 0 1 0 2.708050201 0.95344954 0 1 10.21866319 0.019772328 0.015648974 0 0 0 0 0 0 0 1 0 0 0 0.029162091 0 0 0 0 0 4.482453382 1 0 4.077537444 0 0 0 1 0 0 0 4/8/17 0.459 0.44 0.559 0.447 0.652 0.658 0 0 0 0.434 0 0.341 0.416 0 0.354 0.708 0.565 0.602 0 0 0 0 0 0 0 0.664 0 0 0 0.565 0 0 0 0 0 0.583 0.72 0 0.515 0 0 0 0.683 0 0 0
Comoros COM 2016 0.003821094 0 0.001688816 0.009774466 2015 1.204497463 0 1 0 0 1 0 2.302585093 -1.381422137 0 0 6.66949809 0.067288412 0.002186082 0 0 0 0 0 0 0 1 0 0 0 0.056598723 0 0 0 0 0 4.38103117 1 0 3.713572067 0 1 0 0 0 0 0 4/8/17 0.453 0 0.422 0.645 0.888 0 0 0 0 0.434 0 0.236 0.099 0 0 0.024 0.894 0.074 0 0 0 0 0 0 0 0.664 0 0 0 0.77 0 0 0 0 0 0.49 0.72 0 0.204 0 0.708 0 0 0 0 0
Bosnia and Herzegovina BOS 2016 0.003789767 0.003 0.001768144 0.006601157 2015 -1.203360729 2.302585093 1 0 0 0 1 0 1.734067242 0 1 8.245384468 0.010388704 0.008662096 0 1 0 0 0 0 0 0 0 1 0 0.015261836 1 0 0 0 1 4.508690546 0 0 3.17805383 0 0 0 1 0 1 0 4/8/17 0.447 0.621 0.428 0.484 0.211 0.304 0 0 0 0 0.962 0 0.732 0 0.354 0.204 0.372 0.465 0 0.751 0 0 0 0 0 0 0 0.962 0 0.372 0.608 0 0 0 0.683 0.608 0 0 0.043 0 0 0 0.683 0 0.757 0
Mexico MEX 2016 0.003748016 0.005 0.002263665 0.003980383 2015 -0.443437585 1.386294361 1 0 0 1 0 2.944438979 1.108950105 1.609437912 1 11.75207621 0.012905717 0.009705452 0 0 0 0 1 0 0 1 0 0 0 0.009809475 0 3.496507561 0 0 0 4.187489029 0 0 5.272999559 0 0 1 0 0 0 0 4/8/17 0.44 0.732 0.459 0.354 0.372 0.055 0 0 0 0.434 0 0.422 0.459 0.925 0.354 0.944 0.44 0.49 0 0 0 0 0.85 0 0 0.664 0 0 0 0.279 0 0.956 0 0 0 0.354 0 0 0.863 0 0 0.652 0 0 0 0
Lesotho LES 2016 0.003707442 0.001 0.004265712 0.005856614 2015 0.945102821 1.945910149 1 1 0 1 0 2.63905733 1.486833364 0 1 7.666221926 0.07546658 0.005506603 0 0 0 0 0 0 0 1 0 0 0 0.038842386 0 0 0 0 0 4.953310711 1 0 3.912023005 0 1 0 0 0 0 0 4/8/17 0.434 0.44 0.54 0.44 0.782 0.136 0 0.913 0 0.434 0 0.31 0.608 0 0.354 0.13 0.906 0.31 0 0 0 0 0 0 0 0.664 0 0 0 0.658 0 0 0 0 0 0.894 0.72 0 0.291 0 0.708 0 0 0 0 0
Guatemala GUA 2016 0.003695698 0.001 0.002145565 0.007941529 2015 0.176356104 2.197224577 1 0 0 1 0 2.995732274 1.209718708 0 1 9.70155495 0.014474448 0.008440998 0 0 0 0 1 0 0 1 0 0 0 0.014800345 1 0 0 0 1 4.030084187 0 0 5.176149733 0 0 1 0 0 1 0 4/8/17 0.428 0.44 0.453 0.559 0.571 0.211 0 0 0 0.434 0 0.453 0.509 0 0.354 0.596 0.478 0.459 0 0 0 0 0.85 0 0 0.664 0 0 0 0.36 0.608 0 0 0 0.683 0.254 0 0 0.801 0 0 0.652 0 0 0.757 0
Timor Leste ETM 2016 0.003450904 0 0.00193836 0.008414351 2015 0.678077497 2.302585093 1 0 0 1 0 2.63905733 -1.554576976 0 0 7.122059882 0.029367945 0.004574133 1 0 0 0 0 0 0 1 0 0 0 0.053607389 0 0 0 0 0 4.640183073 0 0 2.63905733 0 0 0 0 1 0 0 4/8/17 0.422 0 0.434 0.583 0.677 0.304 0 0 0 0.434 0 0.31 0.08 0 0 0.055 0.689 0.254 0.881 0 0 0 0 0 0 0.664 0 0 0 0.745 0 0 0 0 0 0.72 0 0 0.018 0 0 0 0 0.975 0 0
Romania RUM 2016 0.003295251 0.001 0.001073868 0.007811886 2015 -0.655805389 2.302585093 1 0 0 1 0 2.995732274 1.983997235 0 1 9.891667976 0.007576873 0.006314626 0 1 0 0 0 0 0 1 0 0 0 0.01822935 1 0 0 0 1 4.408805565 0 0 4.934473933 0 0 1 0 0 1 0 4/8/17 0.416 0.44 0.335 0.552 0.335 0.304 0 0 0 0.434 0 0.453 0.869 0 0.354 0.639 0.279 0.378 0 0.751 0 0 0 0 0 0.664 0 0 0 0.422 0.608 0 0 0 0.683 0.527 0 0 0.751 0 0 0.652 0 0 0.757 0
Georgia GRG 2016 0.003290794 0 0.001172514 0.008699866 2015 -0.165409485 3.258096538 1 0 0 1 0 3.218875825 1.911955617 0 1 8.2204031 0.008652491 0.006320301 0 1 0 0 0 0 0 1 0 0 0 0.024429503 1 0 0 0 1 4.637487609 0 0 3.218875825 0 0 1 0 0 1 0 4/8/17 0.409 0 0.354 0.608 0.453 0.925 0 0 0 0.434 0 0.565 0.838 0 0.354 0.198 0.329 0.385 0 0.751 0 0 0 0 0 0.664 0 0 0 0.515 0.608 0 0 0 0.683 0.714 0 0 0.049 0 0 0.652 0 0 0.757 0
Swaziland SWA 2016 0.002870912 0 0.004151664 0.004461072 2015 1.01481608 1.945910149 1 0 0 0 0 3.761200116 0.674661163 0 0 7.160069208 0.028877752 0.010578924 0 0 0 0 0 0 0 0 0 0 0 0.021129367 0 0 1 0 0 4.617238086 1 0 3.871201011 1 1 0 0 0 0 0 4/8/17 0.403 0 0.527 0.36 0.801 0.136 0 0 0 0 0 0.77 0.291 0 0 0.068 0.683 0.503 0 0 0 0 0 0 0 0 0 0 0 0.472 0 0 0.757 0 0 0.677 0.72 0 0.273 0.875 0.708 0 0 0 0 0
Dominican Republic DOM 2016 0.002860509 0.001 0.001520611 0.006060916 2015 -0.011347265 2.197224577 1 0 0 1 0 2.995732274 2.419758993 0 1 9.261793654 0.01199952 0.006640037 0 0 0 0 1 0 0 1 0 0 2.397895273 0.02209484 1 0 0 0 0 4.031163336 0 0 5.017279837 0 0 1 0 0 0 0 4/8/17 0.397 0.44 0.403 0.459 0.49 0.211 0 0 0 0.434 0 0.453 0.95 0 0.354 0.472 0.428 0.403 0 0 0 0 0.85 0 0 0.664 0 0 0.863 0.484 0.608 0 0 0 0 0.26 0 0 0.77 0 0 0.652 0 0 0 0
Namibia NAM 2016 0.002787928 0 0.001979662 0.006384122 2015 0.873016683 1.945910149 1 0 0 1 0 3.258096538 1.907663525 0 1 7.807510042 0.022883895 0.005587216 0 0 0 0 0 0 0 1 0 0 0 0.036750287 0 0 0 0 0 4.663184126 1 0 3.258096538 0 0 0 1 0 0 0 4/8/17 0.391 0 0.44 0.472 0.745 0.136 0 0 0 0.434 0 0.633 0.832 0 0.354 0.149 0.633 0.329 0 0 0 0 0 0 0 0.664 0 0 0 0.621 0 0 0 0 0 0.726 0.72 0 0.161 0 0 0 0.683 0 0 0
Moldova MLD 2016 0.002718382 0 0.000821489 0.007333656 2015 -0.414426686 2.302585093 1 0 0 1 0 3.218875825 -1.001524093 0 1 8.174984533 0.00986277 0.003917464 0 1 0 0 0 0 0 1 0 0 0 0.022017539 0 0 0 0 1 4.78460198 0 0 3.218875825 0 0 1 0 0 1 0 4/8/17 0.385 0 0.291 0.521 0.385 0.304 0 0 0 0.434 0 0.565 0.136 0 0.354 0.192 0.354 0.229 0 0.751 0 0 0 0 0 0.664 0 0 0 0.478 0 0 0 0 0.683 0.819 0 0 0.049 0 0 0.652 0 0 0.757 0
Croatia CRO 2016 0.002592184 0 0.000420998 0.007355555 2015 -1.194657454 2.302585093 1 0 0 1 0 2.772588722 1.432835984 0 1 8.348301055 0.005513476 0.002871535 0 1 0 0 0 0 0 1 0 0 1.945910149 0.018639404 0 0 0 0 1 4.505486135 0 0 3.218875825 0 0 1 0 0 1 0 4/8/17 0.378 0 0.136 0.527 0.217 0.304 0 0 0 0.434 0 0.36 0.577 0 0.354 0.229 0.223 0.136 0 0.751 0 0 0 0 0 0.664 0 0 0.832 0.428 0 0 0 0 0.683 0.602 0 0 0.049 0 0 0.652 0 0 0.757 0
Guyana GUY 2016 0.002566213 0 0.000956045 0.006742593 2015 0.535755007 1.609437912 1 0 0 1 0 3.17805383 1.619397203 0 1 6.642486801 0.019736668 0.002820577 0 0 0 0 1 0 0 1 0 0 0 0.020744581 0 0 0 0 1 4.88197599 0 0 3.912023005 0 0 1 0 0 1 0 4/8/17 0.372 0 0.322 0.503 0.621 0.068 0 0 0 0.434 0 0.534 0.664 0 0.354 0.012 0.559 0.13 0 0 0 0 0.85 0 0 0.664 0 0 0 0.459 0 0 0 0 0.683 0.875 0 0 0.291 0 0 0.652 0 0 0.757 0
Peru PER 2016 0.002289504 0 0.002108499 0.004760014 2015 0.027689698 1.609437912 1 0 0 1 0 2.708050201 1.296761529 0 1 10.35383042 0.015280892 0.007970064 0 0 0 0 1 0 0 1 0 0 0 0.013924906 1 0 0 0 0 3.835577599 0 0 4.919980926 0 0 0 1 0 0 0 4/8/17 0.366 0 0.447 0.372 0.515 0.068 0 0 0 0.434 0 0.341 0.54 0 0.354 0.745 0.49 0.44 0 0 0 0 0.85 0 0 0.664 0 0 0 0.341 0.608 0 0 0 0 0.13 0 0 0.739 0 0 0 0.683 0 0 0
Belgium BEL 2016 0.002243505 0 0.000304307 0.006426207 2015 -1.720617243 2.302585093 1 0 0 1 0 4.276666119 0.426413334 0 1 9.332646496 0.002961158 0.003142697 0 1 0 0 0 0 1 0 0 0 0 0.022392681 0 0 0 0 1 5.11822125 0 0 5.225746674 0 0 1 0 0 1 0 4/8/17 0.36 0 0.086 0.478 0.055 0.304 0 0 0 0.434 0 0.931 0.236 0 0.354 0.527 0.043 0.173 0 0.751 0 0 0 0 0.869 0 0 0 0 0.496 0 0 0 0 0.683 0.962 0 0 0.826 0 0 0.652 0 0 0.757 0
Fiji FJI 2016 0.002162118 0 0.001116127 0.005370227 2015 -0.650762514 0 1 0 1 0 0 0.693147181 1.944503848 0 0 6.793466133 0.029485704 0.00250796 1 0 0 0 0 1 0 0 0 0 0 0.026568574 0 1.386294361 0 0 0 4.767297944 0 0 3.828641396 0 0 1 0 0 0 0 4/8/17 0.354 0 0.341 0.403 0.341 0 0 0 0.745 0 0 0.074 0.863 0 0 0.043 0.695 0.093 0.881 0 0 0 0 0.906 0 0 0 0 0 0.54 0 0.782 0 0 0 0.801 0 0 0.267 0 0 0.652 0 0 0 0
Albania ALB 2016 0.002036469 0 0.000745361 0.005364047 2015 -0.401798263 2.302585093 1 0 0 1 0 2.944438979 1.672941201 0 1 7.972810784 0.009302944 0.00367536 0 1 0 0 0 0 0 1 0 0 0 0.022235642 1 0 0 0 0 4.324177154 0 0 4.644390899 0 1 0 0 0 0 0 4/8/17 0.347 0 0.279 0.397 0.391 0.304 0 0 0 0.434 0 0.422 0.708 0 0.354 0.161 0.341 0.217 0 0.751 0 0 0 0 0 0.664 0 0 0 0.49 0.608 0 0 0 0 0.44 0 0 0.683 0 0.708 0 0 0 0 0
Solomon Islands SOL 2016 0.002020798 0 0.000401437 0.005660956 2015 -0.196858617 0 1 0 0 1 0 2.48490665 1.01360611 0 0 6.369900983 0.022264247 0.001011944 1 0 0 0 0 0 0 1 0 0 0 0.033999484 0 0 0 0 0 4.814311064 0 0 3.63758616 0 1 0 0 0 0 0 4/8/17 0.341 0 0.13 0.428 0.447 0 0 0 0 0.434 0 0.291 0.434 0 0 0 0.608 0 0.881 0 0 0 0 0 0 0.664 0 0 0 0.583 0 0 0 0 0 0.838 0 0 0.186 0 0.708 0 0 0 0 0
Botswana BOT 2016 0.001979383 0.002 0.000503337 0.003434811 2015 -0.757913139 1.945910149 1 0 0 1 0 3.912023005 -1.227341676 0 0 7.724004657 0.008780374 0.002503451 0 0 0 0 0 0 0 1 0 0 1.386294361 0.014127104 0 0 0 0 0 4.533694371 1 0 3.912023005 0 0 1 0 0 0 0 4/8/17 0.335 0.571 0.204 0.31 0.31 0.136 0 0 0 0.434 0 0.807 0.118 0 0 0.142 0.335 0.086 0 0 0 0 0 0 0 0.664 0 0 0.801 0.347 0 0 0 0 0 0.614 0.72 0 0.291 0 0 0.652 0 0 0 0
Serbia SRB 2016 0.001957439 0 0.000559771 0.005312546 2015 -1.147271262 2.302585093 1 0 0 1 0 2.302585093 0.861077063 0 1 8.867427439 0.006406108 0.003513642 0 1 0 0 0 0 0 1 0 0 0 0.012387275 0 0 0 0 1 4.591074855 0 0 2.302585093 0 0 0 0 1 1 0 4/8/17 0.329 0 0.223 0.391 0.223 0.304 0 0 0 0.434 0 0.236 0.36 0 0.354 0.378 0.242 0.192 0 0.751 0 0 0 0 0 0.664 0 0 0 0.304 0 0 0 0 0.683 0.645 0 0 0.006 0 0 0 0 0.975 0.757 0
Israel ISR 2016 0.001734285 0.002 0.000423989 0.002778868 2015 -1.680381931 3.17805383 1 0 0 1 0 4.204692619 0.750153546 1.098612289 0 9.030016818 0.003480661 0.004011812 0 0 1 0 0 0 0 0 1 0 0 0.003293509 0 3.526360525 0 1 1 4.141938652 0 0 4.219507705 0 0 1 0 0 1 0 4/8/17 0.322 0.571 0.142 0.267 0.074 0.881 0 0 0 0.434 0 0.881 0.316 0.881 0 0.416 0.093 0.242 0 0 0.894 0 0 0 0 0 0.795 0 0 0.105 0 0.962 0 0.919 0.683 0.316 0 0 0.577 0 0 0.652 0 0 0.757 0
Bulgaria BUL 2016 0.001693162 0.001 0.000669313 0.003410173 2015 -0.788614812 2.302585093 1 0 0 1 0 3.258096538 1.867011359 0 1 8.877800394 0.006586281 0.004180544 0 1 0 0 0 0 0 1 0 0 0 0.01642587 1 0 0 0 0 4.875915098 0 0 4.927253685 0 0 1 0 0 0 0 4/8/17 0.316 0.44 0.267 0.304 0.285 0.304 0 0 0 0.434 0 0.633 0.795 0 0.354 0.385 0.254 0.248 0 0.751 0 0 0 0 0 0.664 0 0 0 0.403 0.608 0 0 0 0 0.863 0 0 0.745 0 0 0.652 0 0 0 0
Argentina ARG 2016 0.00169014 0 0.001152194 0.003918226 2015 -0.676235108 1.609437912 1 0 0 1 0 3.496507561 0.370158672 0 1 10.67860635 0.008298862 0.006388317 0 0 0 0 1 0 0 1 0 0 0 0.007986867 1 0 0 0 0 3.37682204 0 0 5.298317367 0 1 0 0 0 0 0 4/8/17 0.31 0 0.347 0.347 0.329 0.068 0 0 0 0.434 0 0.714 0.229 0 0.354 0.807 0.322 0.391 0 0 0 0 0.85 0 0 0.664 0 0 0 0.242 0.608 0 0 0 0 0.024 0 0 0.888 0 0.708 0 0 0 0 0
Cyprus CYP 2016 0.001624385 0.002 0.000432357 0.0024408 2015 -0.823871107 3.258096538 1 0 0 1 0 3.737669618 0.736779216 0 1 7.060476366 0.005155124 0.003099996 0 1 0 0 0 0 0 0 1 0 0 0.00549734 0 0 0 1 1 4.683063178 0 0 4.025351691 0 1 0 0 0 1 0 4/8/17 0.304 0.571 0.155 0.236 0.273 0.925 0 0 0 0.434 0 0.763 0.304 0 0.354 0.049 0.211 0.167 0 0.751 0 0 0 0 0 0 0.795 0 0 0.192 0 0 0 0.919 0.683 0.732 0 0 0.397 0 0.708 0 0 0 0.757 0
El Salvador SAL 2016 0.001611724 0 0.001184651 0.003650522 2015 -0.064765959 2.197224577 1 0 0 1 0 3.465735903 1.410545947 0 1 8.720460513 0.011047084 0.00537293 0 0 0 0 1 0 0 1 0 0 0 0.012240835 1 0 0 0 0 4.238058094 0 0 5.164785974 0 1 0 0 0 0 0 4/8/17 0.298 0 0.36 0.335 0.465 0.211 0 0 0 0.434 0 0.708 0.571 0 0.354 0.341 0.391 0.291 0 0 0 0 0.85 0 0 0.664 0 0 0 0.298 0.608 0 0 0 0 0.378 0 0 0.795 0 0.708 0 0 0 0 0
Honduras HON 2016 0.001586927 0 0.001310612 0.00345017 2015 -0.047007446 2.197224577 1 0 0 1 0 3.526360525 1.247531835 0 1 8.996528148 0.011139786 0.005958988 0 0 0 0 1 0 0 1 0 0 1.098612289 0.015971387 0 0 0 0 0 4.723923724 0 0 5.18178355 0 1 0 0 0 0 0 4/8/17 0.291 0 0.391 0.316 0.472 0.211 0 0 0 0.434 0 0.72 0.521 0 0.354 0.403 0.403 0.36 0 0 0 0 0.85 0 0 0.664 0 0 0.776 0.397 0 0 0 0 0 0.757 0 0 0.807 0 0.708 0 0 0 0 0
Paraguay PAR 2016 0.001580663 0 0.001243748 0.003498239 2015 0.050899619 1.609437912 1 0 0 1 0 3.17805383 1.179878793 0 1 8.800716629 0.014277976 0.004720292 0 0 0 0 1 0 0 1 0 0 0 0.014181598 0 0 0 0 0 4.497741048 0 0 5.323009979 0 1 0 0 0 0 0 4/8/17 0.285 0 0.372 0.322 0.527 0.068 0 0 0 0.434 0 0.534 0.49 0 0.354 0.36 0.472 0.267 0 0 0 0 0.85 0 0 0.664 0 0 0 0.354 0 0 0 0 0 0.59 0 0 0.894 0 0.708 0 0 0 0 0
Nicaragua NIC 2016 0.001522772 0 0.001306785 0.003261532 2015 0.030747804 2.197224577 1 0 0 1 0 3.258096538 1.816712879 0 1 8.713088868 0.012081523 0.005607393 0 0 0 0 1 0 0 1 0 0 0 0.013197783 1 0 0 0 0 4.621202917 0 0 5.18178355 0 0 1 0 0 0 0 4/8/17 0.279 0 0.385 0.291 0.521 0.211 0 0 0 0.434 0 0.633 0.751 0 0.354 0.335 0.434 0.347 0 0 0 0 0.85 0 0 0.664 0 0 0 0.322 0.608 0 0 0 0 0.683 0 0 0.807 0 0 0.652 0 0 0 0
United Arab Emirates UAE 2016 0.001504624 0 0.002373174 0.002140699 2015 -0.587419375 3.258096538 1 0 0 0 0 3.80666249 0.950469055 0 0 9.122273893 0.0071235 0.015581007 0 0 1 0 0 0 0 0 0 0 0 0.010504193 0 0 1 0 0 5.169772016 0 0 3.80666249 1 0 0 1 0 0 0 4/8/17 0.273 0 0.472 0.217 0.36 0.925 0 0 0 0 0 0.776 0.409 0 0 0.434 0.267 0.596 0 0 0.894 0 0 0 0 0 0 0 0 0.285 0 0 0.757 0 0 0.981 0 0 0.242 0.875 0 0 0.683 0 0 0
Trinidad and Tobago TRI 2016 0.001494121 0 0.000859509 0.003622855 2015 0.226548925 1.609437912 1 0 0 1 0 3.988984047 -1.499072409 0 1 7.215239979 0.015617564 0.002968169 0 0 0 0 1 0 0 0 1 0 0 0.00614182 0 0 0 0 1 4.329215444 0 0 3.988984047 0 0 0 1 0 1 0 4/8/17 0.267 0 0.304 0.329 0.59 0.068 0 0 0 0.434 0 0.832 0.093 0 0.354 0.08 0.503 0.155 0 0 0 0 0.85 0 0 0 0.795 0 0 0.204 0 0 0 0 0.683 0.447 0 0 0.341 0 0 0 0.683 0 0.757 0
Mongolia MON 2016 0.001465998 0 0.001243466 0.003154528 2015 0.163515546 2.302585093 1 0 0 1 0 3.17805383 0.885261706 0 1 7.992606652 0.013783596 0.004838751 1 0 0 0 0 0 0 0 1 0 0 0.013831822 0 0 0 0 0 4.695668114 0 0 4.65396035 0 0 1 0 0 0 0 4/8/17 0.26 0 0.366 0.285 0.565 0.304 0 0 0 0.434 0 0.534 0.378 0 0.354 0.173 0.453 0.279 0.881 0 0 0 0 0 0 0 0.795 0 0 0.335 0 0 0 0 0 0.739 0 0 0.689 0 0 0.652 0 0 0 0
Qatar QAT 2016 0.001365081 0.001 0.001044381 0.002050862 2015 -1.103610326 3.258096538 1 0 0 0 0 3.80666249 -2.155677271 0 0 7.711996507 0.005662215 0.00753548 0 0 1 0 0 0 0 0 0 0 0 0.006981725 0 0 1 0 0 4.601057383 0 0 3.80666249 1 0 0 1 0 0 0 4/8/17 0.254 0.44 0.329 0.204 0.229 0.925 0 0 0 0 0 0.776 0.043 0 0 0.136 0.229 0.422 0 0 0.894 0 0 0 0 0 0 0 0 0.223 0 0 0.757 0 0 0.658 0 0 0.242 0.875 0 0 0.683 0 0 0
Montenegro MNE 2016 0.001351066 0 0.000345382 0.003707815 2015 -0.786308006 2.302585093 1 0 0 1 0 2.302585093 1.993412038 0 1 6.432940093 0.00788097 0.001798212 0 1 0 0 0 0 0 1 0 0 0 0.016455645 0 0 0 0 0 4.606445572 0 0 2.302585093 0 0 0 0 1 0 0 4/8/17 0.248 0 0.099 0.341 0.291 0.304 0 0 0 0.434 0 0.236 0.881 0 0.354 0.006 0.304 0.031 0 0.751 0 0 0 0 0 0.664 0 0 0 0.409 0 0 0 0 0 0.67 0 0 0.006 0 0 0 0 0.975 0 0
Macedonia MAC 2016 0.001243471 0 0.000438088 0.003292327 2015 -0.906109205 2.302585093 1 0 0 1 0 2.63905733 1.868423969 0 1 7.639161172 0.006819645 0.002577682 0 1 0 0 0 0 0 1 0 0 0 0.014977411 0 0 0 0 0 4.72701988 0 0 3.218875825 0 0 1 0 0 0 0 4/8/17 0.242 0 0.161 0.298 0.254 0.304 0 0 0 0.434 0 0.31 0.801 0 0.354 0.124 0.26 0.105 0 0.751 0 0 0 0 0 0.664 0 0 0 0.366 0 0 0 0 0 0.763 0 0 0.049 0 0 0.652 0 0 0 0
Kuwait KUW 2016 0.001197396 0 0.001362362 0.002229828 2015 -0.958086261 3.258096538 1 0 0 0 0 3.951243719 -1.354918925 0 0 8.266678443 0.00589525 0.009765891 0 0 1 0 0 0 0 0 0 0 0 0.007834963 0 0 1 0 0 4.596583924 0 0 4.007333185 1 0 0 1 0 0 0 4/8/17 0.236 0 0.397 0.229 0.248 0.925 0 0 0 0 0 0.826 0.105 0 0 0.211 0.236 0.496 0 0 0.894 0 0 0 0 0 0 0 0 0.236 0 0 0.757 0 0 0.652 0 0 0.378 0.875 0 0 0.683 0 0 0
Belarus BLR 2016 0.001182746 0.001 0.000796839 0.0017514 2015 -1.660855508 2.302585093 1 0 0 0 0 2.995732274 -2.050588326 0 1 9.153558358 0.004385954 0.006740143 0 1 0 0 0 0 0 0 0 0 1.62924054 0.006106789 0 0 1 0 0 4.7460898 0 0 3.218875825 1 0 1 0 0 0 0 4/8/17 0.229 0.44 0.285 0.18 0.08 0.304 0 0 0 0 0 0.453 0.062 0 0.354 0.44 0.167 0.409 0 0.751 0 0 0 0 0 0 0 0 0.819 0.198 0 0 0.757 0 0 0.776 0 0 0.049 0.875 0 0.652 0 0 0 0
Jamaica JAM 2016 0.001139969 0 0.000668146 0.002751761 2015 -0.354316143 2.197224577 1 0 0 1 0 4.043051268 0.742069478 0 1 7.912056888 0.008289673 0.003543659 0 0 0 0 1 0 0 1 0 0 0 0.009739434 0 0 0 0 0 4.437594929 0 0 3.988984047 0 0 1 0 0 0 0 4/8/17 0.223 0 0.26 0.26 0.403 0.211 0 0 0 0.434 0 0.844 0.31 0 0.354 0.155 0.316 0.198 0 0 0 0 0.85 0 0 0.664 0 0 0 0.273 0 0 0 0 0 0.546 0 0 0.341 0 0 0.652 0 0 0 0
South Korea ROK 2016 0.001058791 0 0.000600167 0.002576206 2015 -1.596662351 2.302585093 1 0 0 1 0 3.33220451 1.475012602 0 1 10.83235882 0.003703573 0.005591901 1 0 0 0 0 0 0 1 0 0 0 0.009132828 1 0 0 0 0 4.563793297 0 0 4.219507705 0 1 0 0 0 0 0 4/8/17 0.217 0 0.229 0.248 0.118 0.304 0 0 0 0.434 0 0.683 0.596 0 0.354 0.838 0.111 0.335 0.881 0 0 0 0 0 0 0.664 0 0 0 0.254 0.608 0 0 0 0 0.639 0 0 0.577 0 0.708 0 0 0 0 0
Cuba CUB 2016 0.001008084 0.001 0.000921746 0.001102506 2015 -1.414772666 2.197224577 1 0 0 0 0 4.007333185 1.638912002 0 0 9.340491056 0.004479029 0.007774519 0 0 0 0 1 0 0 0 0 0 0 0.002126786 1 0 1 1 0 3.791493157 0 0 4.997212274 1 0 1 0 0 0 0 4/8/17 0.211 0.44 0.31 0.068 0.167 0.211 0 0 0 0 0 0.838 0.677 0 0 0.534 0.18 0.434 0 0 0 0 0.85 0 0 0 0 0 0 0.018 0.608 0 0.757 0.919 0 0.111 0 0 0.757 0.875 0 0.652 0 0 0 0
Latvia LAT 2016 0.000965655 0 0.000288526 0.002608438 2015 -1.268365559 2.302585093 1 0 0 1 0 3.218875825 1.879135946 0 1 7.592870288 0.004703786 0.002135532 0 1 0 0 0 0 0 1 0 0 0 0.011258825 0 0 0 0 0 4.797909913 0 0 3.218875825 0 0 1 0 0 0 0 4/8/17 0.204 0 0.08 0.254 0.204 0.304 0 0 0 0.434 0 0.565 0.807 0 0.354 0.105 0.186 0.068 0 0.751 0 0 0 0 0 0.664 0 0 0 0.291 0 0 0 0 0 0.832 0 0 0.049 0 0 0.652 0 0 0 0
Japan JPN 2016 0.000926117 0.001 0.000476028 0.001302324 2015 -2.214961641 2.302585093 1 0 0 1 0 4.158883083 0.791215885 0 0 11.75052404 0.002517155 0.005724588 1 0 0 0 0 0 0 0 1 0 0 0.002096485 0 0 0 0 0 3.652013255 0 0 7.212294469 0 1 0 0 0 0 0 4/8/17 0.198 0.44 0.18 0.111 0 0.304 0 0 0 0.434 0 0.869 0.341 0 0 0.937 0.018 0.354 0.881 0 0 0 0 0 0 0 0.795 0 0 0.012 0 0 0 0 0 0.068 0 0 0.987 0 0.708 0 0 0 0 0
Singapore SIN 2016 0.000914884 0 0.000637711 0.00210694 2015 -2.039070974 2.302585093 1 0 1 0 0 3.931825633 0.897381722 0 0 8.623713035 0.004048115 0.00560592 1 0 0 0 0 1 0 0 0 0 0 0.007161784 0 0 1 0 1 5.860359361 0 0 3.931825633 0 0 1 0 0 1 0 4/8/17 0.192 0 0.242 0.211 0.006 0.304 0 0 0.745 0 0 0.813 0.385 0 0 0.316 0.136 0.341 0.881 0 0 0 0 0.906 0 0 0 0 0 0.229 0 0 0.757 0 0.683 1 0 0 0.31 0 0 0.652 0 0 0.757 0
Costa Rica COS 2016 0.000873001 0.001 0.000482595 0.001136409 2015 -0.811980361 2.197224577 1 0 0 1 0 4.574710979 1.529438582 0 1 8.478036476 0.005206725 0.003467093 0 0 0 0 1 0 0 0 1 0 0 0.002542015 0 0 0 0 0 4.28085077 0 0 5.272999559 0 1 0 0 0 0 0 4/8/17 0.186 0.44 0.192 0.086 0.279 0.211 0 0 0 0.434 0 0.956 0.621 0 0.354 0.273 0.217 0.186 0 0 0 0 0.85 0 0 0 0.795 0 0 0.049 0 0 0 0 0 0.409 0 0 0.863 0 0.708 0 0 0 0 0
Australia AUL 2016 0.000834062 0 0.000276618 0.002225569 2015 -1.472566525 0 1 0 0 1 0 4.744932128 0.875074735 0 1 10.07752489 0.004874138 0.001989393 1 0 0 0 0 0 0 0 1 0 0 0.004724478 0 0 0 0 0 3.74482663 0 0 4.744932128 0 1 0 0 0 0 0 4/8/17 0.18 0 0.062 0.223 0.136 0 0 0 0 0.434 0 0.968 0.366 0 0.354 0.677 0.204 0.043 0.881 0 0 0 0 0 0 0 0.795 0 0 0.167 0 0 0 0 0 0.099 0 0 0.72 0 0.708 0 0 0 0 0
Netherlands NTH 2016 0.000766117 0.001 0.000357546 0.000940805 2015 -1.660855508 2.302585093 1 0 0 1 0 4.262679877 1.223654276 0 1 9.736074312 0.002989715 0.003716426 0 1 0 0 0 0 0 0 1 0 0 0.003098528 0 0 0 0 0 5.039432414 0 0 6.104793232 0 1 0 0 0 0 0 4/8/17 0.173 0.44 0.105 0.012 0.08 0.304 0 0 0 0.434 0 0.913 0.515 0 0.354 0.602 0.062 0.223 0 0.751 0 0 0 0 0 0 0.795 0 0 0.086 0 0 0 0 0 0.925 0 0 0.925 0 0.708 0 0 0 0 0
Greece GRC 2016 0.000763503 0 0.00042565 0.001864859 2015 -1.399767026 2.302585093 1 0 0 1 0 3.713572067 0.907502298 0 1 9.290998275 0.004066149 0.003607577 0 1 0 0 0 0 0 0 1 0 1.098612289 0.004919143 0 0 0 0 0 4.218482353 0 0 5.214935758 0 1 0 0 0 0 0 4/8/17 0.167 0 0.149 0.186 0.186 0.304 0 0 0 0.434 0 0.745 0.391 0 0.354 0.503 0.142 0.211 0 0.751 0 0 0 0 0 0 0.795 0 0.776 0.18 0 0 0 0 0 0.366 0 0 0.819 0 0.708 0 0 0 0 0
United Kingdom UKG 2016 0.000758176 0 0.000679558 0.00159497 2015 -1.47028081 2.302585093 1 0 0 1 0 4.912654886 1.209187849 0 0 11.08145 0.003645975 0.006468568 0 1 0 0 0 0 0 0 1 0 0 0.003605779 0 0 0 0 0 4.07118624 0 0 6.173786104 0 1 0 0 0 0 0 4/8/17 0.161 0 0.273 0.161 0.142 0.304 0 0 0 0.434 0 0.981 0.503 0 0 0.869 0.105 0.397 0 0.751 0 0 0 0 0 0 0.795 0 0 0.124 0 0 0 0 0 0.273 0 0 0.931 0 0.708 0 0 0 0 0
France FRN 2016 0.000741265 0 0.000515064 0.00170873 2015 -1.809496532 2.302585093 1 0 0 1 0 3.850147602 0.822157111 0 1 11.1046113 0.002962799 0.005552784 0 1 0 0 0 0 0 0 1 0 1.609437912 0.003998294 0 0 0 0 0 4.081280467 0 0 7.067319849 0 1 0 0 0 0 0 4/8/17 0.155 0 0.211 0.167 0.037 0.304 0 0 0 0.434 0 0.788 0.347 0 0.354 0.875 0.049 0.322 0 0.751 0 0 0 0 0 0 0.795 0 0.813 0.149 0 0 0 0 0 0.285 0 0 0.981 0 0.708 0 0 0 0 0
United States USA 2016 0.000729016 0 0.000930949 0.0012561 2015 -1.410462315 1.386294361 1 0 0 1 0 5.332718793 1.280270213 0 0 12.67979124 0.004153053 0.008291945 0 0 0 0 1 0 0 0 1 0 0 0.001706511 0 0 0 0 0 3.398917578 0 0 5.451038454 0 0 1 0 0 0 0 4/8/17 0.149 0 0.316 0.105 0.173 0.055 0 0 0 0.434 0 1 0.534 0 0 0.987 0.155 0.453 0 0 0 0 0.85 0 0 0 0.795 0 0 0.006 0 0 0 0 0 0.031 0 0 0.906 0 0 0.652 0 0 0 0
New Zealand NEW 2016 0.000720865 0 0.000162823 0.001999773 2015 -1.43881754 0 1 0 0 1 0 4.934473933 1.132476328 0 1 8.422442855 0.00475901 0.001140284 1 0 0 0 0 0 0 0 1 0 0 0.004852854 0 0 0 0 0 4.035294605 0 0 4.691347882 0 0 1 0 0 0 0 4/8/17 0.142 0 0 0.198 0.161 0 0 0 0 0.434 0 0.987 0.472 0 0.354 0.248 0.198 0.012 0.881 0 0 0 0 0 0 0 0.795 0 0 0.173 0 0 0 0 0 0.267 0 0 0.701 0 0 0.652 0 0 0 0
Estonia EST 2016 0.000700505 0 0.000202352 0.001899163 2015 -1.599256386 2.302585093 1 0 0 1 0 2.772588722 1.124244905 0 1 7.178545484 0.004183268 0.001581024 0 1 0 0 0 0 0 1 0 0 0 0.008668074 0 0 0 0 0 5.102294685 0 0 3.218875825 0 0 1 0 0 0 0 4/8/17 0.136 0 0.018 0.192 0.111 0.304 0 0 0 0.434 0 0.36 0.465 0 0.354 0.074 0.161 0.018 0 0.751 0 0 0 0 0 0.664 0 0 0 0.248 0 0 0 0 0 0.956 0 0 0.049 0 0 0.652 0 0 0 0
Switzerland SWZ 2016 0.000685177 0 0.000308018 0.001747514 2015 -1.647137872 2.302585093 1 0 0 1 0 5.123963979 -0.587288827 0 0 9.01978501 0.003343665 0.002920934 0 1 0 0 0 0 0 0 1 0 2.995732274 0.006269841 0 0 0 0 0 4.764780614 0 0 6.586171655 0 0 1 0 0 0 0 4/8/17 0.13 0 0.093 0.173 0.093 0.304 0 0 0 0.434 0 0.993 0.167 0 0 0.409 0.086 0.149 0 0.751 0 0 0 0 0 0 0.795 0 0.913 0.211 0 0 0 0 0 0.795 0 0 0.962 0 0 0.652 0 0 0 0
Poland POL 2016 0.000666171 0 0.000630435 0.001368078 2015 -1.443252137 2.302585093 1 0 0 1 0 3.218875825 1.915866006 0 1 10.54513089 0.004142507 0.005446787 0 1 0 0 0 0 0 0 1 0 0 0.003684129 1 0 0 0 0 4.53910198 0 0 4.584967479 0 1 0 0 0 0 0 4/8/17 0.124 0 0.236 0.124 0.155 0.304 0 0 0 0.434 0 0.565 0.844 0 0.354 0.782 0.149 0.304 0 0.751 0 0 0 0 0 0 0.795 0 0 0.136 0.608 0 0 0 0 0.621 0 0 0.664 0 0.708 0 0 0 0 0
Uruguay URU 2016 0.000629719 0 0.000461537 0.001427621 2015 -0.779419345 1.609437912 1 0 0 1 0 3.433987204 1.063523092 0 1 8.140898461 0.007562609 0.002534197 0 0 0 0 1 0 0 0 1 0 0 0.002760845 0 0 0 0 0 3.890250333 0 0 5.252273428 0 1 0 0 0 0 0 4/8/17 0.118 0 0.173 0.142 0.298 0.068 0 0 0 0.434 0 0.695 0.453 0 0.354 0.186 0.273 0.099 0 0 0 0 0.85 0 0 0 0.795 0 0 0.055 0 0 0 0 0 0.161 0 0 0.844 0 0.708 0 0 0 0 0
Italy ITA 2016 0.000627978 0 0.000500751 0.001383183 2015 -1.756441969 2.302585093 1 0 0 1 0 4.219507705 0.859110598 0 1 11.01488444 0.002861447 0.005520766 0 1 0 0 0 0 0 0 1 0 0 0.002871562 0 0 0 0 0 4.027366003 0 0 5.043425117 0 1 0 0 0 0 0 4/8/17 0.111 0 0.198 0.13 0.043 0.304 0 0 0 0.434 0 0.894 0.354 0 0.354 0.863 0.037 0.316 0 0.751 0 0 0 0 0 0 0.795 0 0 0.062 0 0 0 0 0 0.248 0 0 0.776 0 0.708 0 0 0 0 0
Germany GER 2016 0.000609834 0 0.000645257 0.001184246 2015 -1.714769273 2.302585093 1 0 0 1 0 3.258096538 0.761559356 0 1 11.30133986 0.003564527 0.006214762 0 1 0 0 0 0 0 0 1 0 0 0.002968399 0 0 0 0 0 4.439291913 0 0 3.258096538 0 1 0 0 0 0 0 4/8/17 0.105 0 0.254 0.093 0.062 0.304 0 0 0 0.434 0 0.633 0.329 0 0.354 0.906 0.099 0.372 0 0.751 0 0 0 0 0 0 0.795 0 0 0.074 0 0 0 0 0 0.552 0 0 0.161 0 0.708 0 0 0 0 0
Czech Republic CZR 2016 0.000602193 0 0.000259117 0.001547464 2015 -1.980345688 2.302585093 1 0 0 1 0 3.135494216 1.989850142 0 1 9.2623634 0.002853418 0.002711296 0 1 0 0 0 0 0 1 0 0 0 0.006409178 0 0 0 0 0 5.08088186 0 0 3.135494216 0 0 1 0 0 0 0 4/8/17 0.099 0 0.055 0.149 0.031 0.304 0 0 0 0.434 0 0.509 0.875 0 0.354 0.478 0.031 0.124 0 0.751 0 0 0 0 0 0.664 0 0 0 0.217 0 0 0 0 0 0.944 0 0 0.024 0 0 0.652 0 0 0 0
Mauritius MAS 2016 0.000601844 0 0.00025611 0.001549421 2015 -0.615185639 0 1 0 0 1 0 3.871201011 1.831288299 0 1 7.142827401 0.010194177 0.001083642 0 0 0 0 0 0 0 0 1 0 0 0.005214112 0 0 0 0 0 4.740718555 1 0 3.871201011 0 0 1 0 0 0 0 4/8/17 0.093 0 0.049 0.155 0.347 0 0 0 0 0.434 0 0.801 0.757 0 0.354 0.062 0.36 0.006 0 0 0 0 0 0 0 0 0.795 0 0 0.186 0 0 0 0 0 0.77 0.72 0 0.273 0 0 0.652 0 0 0 0
Spain SPN 2016 0.00060113 0 0.000482051 0.001321338 2015 -1.753407066 2.302585093 1 0 0 1 0 3.63758616 1.836027094 0 1 10.74634701 0.003069776 0.005039961 0 1 0 0 0 0 0 0 1 0 0 0.002878506 0 0 0 0 0 4.136699056 0 0 6.261491684 0 0 1 0 0 0 0 4/8/17 0.086 0 0.186 0.118 0.049 0.304 0 0 0 0.434 0 0.732 0.763 0 0.354 0.826 0.068 0.285 0 0.751 0 0 0 0 0 0 0.795 0 0 0.068 0 0 0 0 0 0.31 0 0 0.95 0 0 0.652 0 0 0 0
Portugal POR 2016 0.000600171 0 0.00039567 0.001404843 2015 -1.45892995 2.302585093 1 0 0 1 0 3.688879454 1.17241395 0 1 9.245514447 0.003869222 0.00345301 0 1 0 0 0 0 0 0 1 0 0 0.003638478 0 0 0 0 0 4.37841185 0 0 6.771935556 0 1 0 0 0 0 0 4/8/17 0.08 0 0.111 0.136 0.149 0.304 0 0 0 0.434 0 0.739 0.484 0 0.354 0.465 0.13 0.18 0 0.751 0 0 0 0 0 0 0.795 0 0 0.13 0 0 0 0 0 0.484 0 0 0.968 0 0.708 0 0 0 0 0
Chile CHL 2016 0.000590388 0 0.000640112 0.001131052 2015 -1.021622093 1.609437912 1 0 0 1 0 3.295836866 1.003724233 0 1 9.795233967 0.006548386 0.003999798 0 0 0 0 1 0 0 0 1 0 0 0.002276621 1 0 0 0 0 4.19074741 0 0 5.288267031 0 1 0 0 0 0 0 4/8/17 0.074 0 0.248 0.08 0.236 0.068 0 0 0 0.434 0 0.664 0.428 0 0.354 0.627 0.248 0.236 0 0 0 0 0.85 0 0 0 0.795 0 0 0.024 0.608 0 0 0 0 0.36 0 0 0.881 0 0.708 0 0 0 0 0
Hungary HUN 2016 0.000523915 0 0.000452218 0.001119528 2015 -1.333899601 2.302585093 1 0 0 1 0 3.258096538 1.777145603 0 1 9.193295937 0.004474659 0.003598693 0 1 0 0 0 0 0 0 1 0 0 0.004018807 1 0 0 0 0 5.143077114 0 0 5.117993812 0 1 0 0 0 0 0 4/8/17 0.068 0 0.167 0.074 0.192 0.304 0 0 0 0.434 0 0.633 0.739 0 0.354 0.459 0.173 0.204 0 0.751 0 0 0 0 0 0 0.795 0 0 0.155 0.608 0 0 0 0 0.975 0 0 0.782 0 0.708 0 0 0 0 0
Slovakia SLO 2016 0.000494494 0 0.000395708 0.001087774 2015 -1.285299172 2.302585093 1 0 0 1 0 3.135494216 1.890619836 0 1 8.598404447 0.004719787 0.002998757 0 1 0 0 0 0 0 0 1 0 0 0.00417711 0 0 0 0 0 5.193275305 0 0 3.135494216 0 1 0 0 0 0 0 4/8/17 0.062 0 0.118 0.055 0.198 0.304 0 0 0 0.434 0 0.509 0.813 0 0.354 0.304 0.192 0.161 0 0.751 0 0 0 0 0 0 0.795 0 0 0.161 0 0 0 0 0 0.987 0 0 0.024 0 0.708 0 0 0 0 0
Denmark DEN 2016 0.000494393 0 0.000283072 0.001200106 2015 -1.548612653 2.302585093 1 0 0 1 0 4.262679877 0.761103522 0 1 8.641179171 0.003309053 0.002685565 0 1 0 0 0 0 0 0 1 0 0 0.003387969 0 0 0 0 0 4.624709014 0 0 6.957497371 0 1 0 0 0 0 0 4/8/17 0.055 0 0.074 0.099 0.13 0.304 0 0 0 0.434 0 0.913 0.322 0 0.354 0.322 0.08 0.118 0 0.751 0 0 0 0 0 0 0.795 0 0 0.118 0 0 0 0 0 0.695 0 0 0.975 0 0.708 0 0 0 0 0
Panama PAN 2016 0.000488404 0 0.000398262 0.00106695 2015 -0.604562652 0 1 0 0 1 0 3.295836866 1.924400869 0 1 8.27614022 0.011419332 0.001612118 0 0 0 0 1 0 0 0 1 0 0 0.003705105 0 0 0 0 0 5.041834455 0 0 4.727387819 0 0 1 0 0 0 0 4/8/17 0.049 0 0.124 0.043 0.354 0 0 0 0 0.434 0 0.664 0.85 0 0.354 0.217 0.416 0.024 0 0 0 0 0.85 0 0 0 0.795 0 0 0.142 0 0 0 0 0 0.931 0 0 0.714 0 0 0.652 0 0 0 0
Canada CAN 2016 0.000462812 0 0.000541075 0.00084736 2015 -1.410462315 2.302585093 1 0 0 1 0 4.852030264 0.496056317 0 1 10.48801892 0.00330086 0.005424255 0 0 0 0 1 0 0 0 1 0 0 0.001562111 0 0 0 0 0 4.161042334 0 0 5.003946306 0 0 0 1 0 0 0 4/8/17 0.043 0 0.217 0.006 0.173 0.304 0 0 0 0.434 0 0.975 0.248 0 0.354 0.776 0.074 0.298 0 0 0 0 0.85 0 0 0 0.795 0 0 0 0 0 0 0 0 0.329 0 0 0.763 0 0 0 0.683 0 0 0
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Norway NOR 2016 0.000420424 0 0.000176132 0.00108514 2015 -2.039070974 2.302585093 1 0 0 1 0 4.262679877 0.780708253 0 1 8.555836815 0.002324481 0.002065326 0 1 0 0 0 0 0 0 1 0 0 0.002292945 0 0 0 0 0 4.21865708 0 0 4.709530201 0 1 0 0 0 0 0 4/8/17 0.031 0 0.006 0.049 0.006 0.304 0 0 0 0.434 0 0.913 0.335 0 0.354 0.285 0.006 0.049 0 0.751 0 0 0 0 0 0 0.795 0 0 0.031 0 0 0 0 0 0.372 0 0 0.708 0 0.708 0 0 0 0 0
Slovenia SLV 2016 0.000415841 0 0.00022526 0.001022264 2015 -1.561035173 2.302585093 1 0 0 1 0 3.218875825 1.670310571 0 1 7.632401127 0.00384928 0.0018837 0 1 0 0 0 0 0 0 1 0 0 0.003354653 0 0 0 0 0 4.977987373 0 0 3.218875825 0 1 0 0 0 0 0 4/8/17 0.024 0 0.037 0.031 0.124 0.304 0 0 0 0.434 0 0.565 0.701 0 0.354 0.118 0.124 0.037 0 0.751 0 0 0 0 0 0 0.795 0 0 0.111 0 0 0 0 0 0.913 0 0 0.049 0 0.708 0 0 0 0 0
Finland FIN 2016 0.000407914 0 0.000184411 0.00103933 2015 -2.023070633 2.302585093 1 0 0 1 0 4.276666119 0.235184715 0 1 8.60886038 0.00240357 0.002119603 0 1 0 0 0 0 0 0 1 0 0 0.002322349 0 0 0 0 0 4.338823893 0 0 4.584967479 0 1 0 0 0 0 0 4/8/17 0.018 0 0.012 0.037 0.018 0.304 0 0 0 0.434 0 0.931 0.217 0 0.354 0.31 0.012 0.062 0 0.751 0 0 0 0 0 0 0.795 0 0 0.037 0 0 0 0 0 0.459 0 0 0.664 0 0.708 0 0 0 0 0
Sweden SWD 2016 0.000406531 0 0.000210188 0.001009404 2015 -1.99181809 2.302585093 1 0 0 1 0 4.59511985 1.64583158 0 1 9.186662245 0.002168816 0.002626929 0 1 0 0 0 0 0 0 1 0 0 0.002380872 0 0 0 0 0 4.446785836 0 0 6.200509174 0 1 0 0 0 0 0 4/8/17 0.012 0 0.024 0.024 0.024 0.304 0 0 0 0.434 0 0.962 0.683 0 0.354 0.453 0 0.111 0 0.751 0 0 0 0 0 0 0.795 0 0 0.043 0 0 0 0 0 0.565 0 0 0.937 0 0.708 0 0 0 0 0
Lithuania LIT 2016 0.000399722 0 0.000242802 0.000956365 2015 -1.601857168 2.302585093 1 0 0 1 0 3.218875825 1.608159779 0 1 7.977625099 0.003748666 0.002081754 0 1 0 0 0 0 0 0 1 0 0 0.003247453 0 0 0 0 0 5.078374069 0 0 3.218875825 0 0 1 0 0 0 0 4/8/17 0.006 0 0.043 0.018 0.105 0.304 0 0 0 0.434 0 0.565 0.652 0 0.354 0.167 0.118 0.055 0 0.751 0 0 0 0 0 0 0.795 0 0 0.099 0 0 0 0 0 0.937 0 0 0.049 0 0 0.652 0 0 0 0
Ireland IRE 2016 0.000352616 0 0.000222884 0.000834963 2015 -1.638996715 2.302585093 1 0 0 1 0 4.553876892 2.685374544 0 1 8.444407422 0.002687641 0.002403519 0 1 0 0 0 0 0 0 1 0 0 0.003152893 0 0 0 0 0 5.342693625 0 0 4.543294782 0 1 0 0 0 0 0 4/8/17 0 0 0.031 0 0.099 0.304 0 0 0 0.434 0 0.95 0.993 0 0.354 0.267 0.024 0.08 0 0.751 0 0 0 0 0 0 0.795 0 0 0.093 0 0 0 0 0 0.993 0 0 0.652 0 0.708 0 0 0 0 0
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<!DOCTYPE html>
<html lang="en">
<head>
<link href='http://fonts.googleapis.com/css?family=Karla|Quantico|Audiowide' rel='stylesheet' type='text/css'>
<meta charset="utf-8">
<style>
.chartWrapper {
width: 100%;
height: 100%;
position: absolute;
}
.chartOne {
width: 50%;
height: 100%;
float: left;
}
.chartTwo {
width: 50%;
height: 100%;
float: right;
}
.xAxis text,
.yAxis text {
font-family: "Karla";
}
.yAxis path,
.yAxis .tick line,
.xAxis .tick line {
stroke: none;
}
.bartext {
font-family: "Karla";
font-weight: bolder;
fill: black; /*does this do anything impt.?*/
}
.ttip {
width: 250px;
position: relative;
background-color: rgba(255, 255, 255, 0.95);
display: none;
border: 1px solid;
padding: 5px;
}
br {
display: block;
content: "";
margin-top: 7.5px;
}
.ttipText {
font-size:13px;
padding: 0;
margin: 0;
font-weight: 300;
font-family: "Karla";
}
</style>
<title>Risk Bar Chart</title>
<script src="d3.v4.min.js"></script>
<!--<script src="https://d3js.org/d3.v4.min.js"></script>-->
<script src="jquery.js"></script>
</head>
<body>
<div class="chartWrapper" id="wrapper">
<div class="chartOne" id="chartOne"></div>
<div class="chartTwo" id="chartTwo"></div>
</div>
<script type="text/javascript">
// todo
// (1a) minimum height and width for chart
// (1b) remove text after certain point
// (2) Resize graph correctly (for page enlargement)
// (3) Add color legend
/*------------------------------------
INITIAL SETTINGS
------------------------------------*/
// number of countries to include in graph
var numCountries = 20;
// transition duration
var duration = 750;
// preparing data: files
var dictionary_data = "cjh12sep2016.csv", // all data
secondChartData = "secondChartData.csv"; // order and labels of second chart data
// preparing data: locations
var forecast = [], // for first chart data
reordered = [], // for second chart data
labels = [], // for second chart labels
tooltipVar = [],
tooltipMetric = [],
tooltipDataSource = [],
varDict = {},
varName,
varData,
varVals,
valName;
// function to reorder data
function reorderDict(object, orderedList) {
tempDict = {};
for (var i = 0; i < orderedList.length; i++) {
test = object[orderedList[i]];
tempDict[orderedList[i]] = test;
}
return tempDict;
}
// function for processing data
function truncateDecimals (number, digits) {
var multiplier = Math.pow(10, digits),
adjustedNum = number * multiplier,
truncatedNum = Math[adjustedNum < 0 ? 'ceil' : 'floor'](adjustedNum);
return truncatedNum / multiplier;
}
// SVG margins
var margin = {top: 30, right: 10, bottom: 30, left: 175, tooltip: 15},
height,
width;
// function to set dimensions (height and width)
function setDimensions() {
width = (parseInt(d3.select(".chartOne").style("width")) - margin.left - margin.right);
height = parseInt(d3.select(".chartOne").style("height")) - margin.top - margin.bottom;
}
// setting height and width
setDimensions();
// bar attributes
var bar = {padding: 0.1,
color: {unfilled: "#0d2a52", filled: "#FA4C00"},
clicked: null};
// initializing scales for first chart
var first_xScale = d3.scaleLinear(),
first_yScale = d3.scaleBand()
.padding(bar.padding);
// initializing scales for second chart
var second_xScale = d3.scaleLinear(),
second_yScale = d3.scaleBand()
.padding(bar.padding);
// function to set scales' ranges
function setScales(w, h) {
first_xScale.range([0, w - margin.left]);
first_yScale.range([0, h]);
second_xScale.range([0, w - margin.left]);
second_yScale.range([0, h]);
}
// setting scales' ranges
setScales(width, height);
// axes for first chart
var first_xAxis = d3.axisBottom()
.scale(first_xScale)
.ticks(Math.max(width / 75, 3));
var first_yAxis = d3.axisLeft()
.scale(first_yScale);
// axes for second chart
var second_xAxis = d3.axisBottom()
.scale(second_xScale)
.ticks(Math.max(width / 75, 3)); // add ticks format
var second_yAxis = d3.axisLeft()
.scale(second_yScale);
// SVG for first chart
var firstChart = d3.select("#chartOne")
.append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("class", "chartOne")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
// SVG for second chart
var secondChart = d3.select("#chartTwo")
.append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("class", "chartTwo")
.attr("transform", "translate(" + (margin.left - (margin.left / 5)) + "," + margin.top + ")");
// create tooltip for second chart
var ttip = d3.select("body")
.append("div")
.attr("class", "ttip");
// eight step color scale
var step = d3.scaleLinear()
.domain([0, 7])
.range([0, 1]);
var colorScale = d3.scaleLinear()
.domain([0, step(1), step(2), step(3), step(4), step(5), step(6), 7])
.range(["#006600", "#00b33c",
"#53ff1a", "#ffff00",
"#ff9900", "#ff6600",
"#e60000", "#ff0000"]);
// format decimal
var formatDecimal = d3.format(",.1%");
/*------------------------------------
INITIALIZING CHARTS WITH DATA
------------------------------------*/
d3.queue()
.defer(d3.csv, dictionary_data)
.defer(d3.csv, secondChartData)
.await(function(error, dictionary_data, secondChartData) {
if (error) {
console.error(error);
}
else {
// processing data for second chart
for (var i = 0; i < secondChartData["columns"].length; i += 5) {
reordered.push(secondChartData["columns"][i]);
labels.push(secondChartData["columns"][i + 1]);
tooltipVar.push(secondChartData["columns"][i + 2]);
tooltipMetric.push(secondChartData["columns"][i + 3]);
tooltipDataSource.push(secondChartData["columns"][i + 4]);
}
// pushing each country's data to dictionary for first graph
for (var i = 0; i < numCountries; i++) {
var newCountry = Object();
for (prop in dictionary_data[i]) {
// changes variable names to workable format
var newProp = prop.replace(/\./g, "_");
newCountry[newProp] = dictionary_data[i][prop];
// Converts quantitative variables to numbers
if (prop !== "sftgcode" && prop !== "country") {
newCountry[newProp] = Number(newCountry[newProp]);
}
}
forecast.push(newCountry);
reorderedNewCountry = reorderDict(newCountry, reordered);
varDict[dictionary_data[i].country] = reorderedNewCountry;
}
// selecting top country in graph as the current country
var current_country = forecast[0].country;
// modifying data for binary variables
for (mod in varDict[current_country]) {
// check if variable is relevant
if ((mod.slice(0, 6) !== "postcw")
&& (mod.slice(mod.length - 3, mod.length)) === "PER") {
// temporary variables for holding variables' data
var tempVal;
var tempList = [];
// recording variables' data
for (country in varDict) {
tempVal = varDict[country][mod];
if (tempList.indexOf(tempVal) === -1) {
tempList.push(tempVal)
}
}
// changing zero values of binary variables
if (tempList.length === 2) {
for (country in varDict) {
if (varDict[country][mod] === 0) {
var max = Math.max.apply(null, tempList);
varDict[country][mod] = (1 - max);
}
}
}
}
}
// function to push currently selected country's data
function pushVariableData(country) {
varName = []; // new names of variables
varData = []; // percentage rankings of variables
varVals = []; // values of variables
valName = []; // names of variables
for (mod in varDict[country]) {
// check if variable is relevant
if (mod.slice(0, 6) !== "postcw") {
if (mod.slice(mod.length - 3, mod.length) === "PER") {
varData.push(truncateDecimals(varDict[country][mod] * 100, 1));
varName.push(mod);
}
else if (mod !== "forecast_year" && mod !== "year" && mod !== "date") {
varVals.push(varDict[country][mod]);
valName.push(mod);
}
}
}
}
// pushing currently selected country's data
pushVariableData(current_country);
// scale range of data in the domain of first chart
first_xScale.domain([0, d3.max(forecast, function(d) { return d.mean_p; })]);
first_yScale.domain(forecast.map(function (d) { return d.country; }));
// scale range of data in the domain of second chart
second_xScale.domain([0, 100]);
second_yScale.domain(labels.map(function (d) { return d; }));
// create text for first chart
firstChart.selectAll("text")
.data(forecast)
.enter()
.append("text")
.attr("class", "bartext")
.attr("id", "firstBarText")
.text(function(d) { return d3.format(".1%")(d.mean_p); })
.attr("text-anchor", "middle")
.attr("font-size", function() { return first_yScale.bandwidth() / 2; })
.attr("x", function(d) {
// this works because most text has same # of chars, but not good in general
var textLength = this.getComputedTextLength();
return first_xScale(d.mean_p) + textLength;
})
.attr("y", function(d) {
return first_yScale(d.country) + (first_yScale.bandwidth() / 1.5);
});
// create text for second chart
secondChart.selectAll("text")
.data(varData)
.enter()
.append("text")
.attr("class", "bartext")
.attr("id", "secondBarText")
.text(function(d) { return formatDecimal(d / 100); })
.attr("text-anchor", "middle")
.attr("font-size", function() { return second_yScale.bandwidth() / 1.5; })
.attr("x", function() {
var textLength = this.getComputedTextLength();
return second_xScale(100) + (textLength / 2) + (second_yScale.bandwidth() / 2); })
.attr("y", function(d, i) {
var numBars = varData.length;
return (i * height / numBars) + (second_yScale.bandwidth() / 1.5);
});
// create x axis for first chart
firstChart.append("g")
.attr("class", "xAxis")
.attr("id", "first_xAxis")
.attr("transform", "translate(0," + height + ")")
.call(first_xAxis);
// create bars for first chart
firstChart.selectAll("rect.firstBars")
.data(forecast)
.enter()
.append("rect")
.attr("id", "firstBars")
.attr("x", 0)
.attr("y", function(d) { return first_yScale(d.country) })
.attr("width", function(d) { return first_xScale(d.mean_p); })
.attr("height", first_yScale.bandwidth())
.attr("fill", function(d, i) {
if (i === 0) {
return bar.color.filled; // first country loaded
} else {
return bar.color.unfilled;
}
});
// create semi transparent bars for second chart
secondChart.selectAll("rect.secondSecondBars")
.data(varData)
.enter()
.append("rect")
.attr("id", "secondSecondBars")
.attr("x", 0)
.attr("y", function(d, i) {
var numBars = varData.length;
return i * height / numBars;
})
.attr("width", second_xScale(100))
.attr("height", second_yScale.bandwidth())
.attr("fill", "#a9b1bc")
.attr("opacity", 0.2);
// create bars for second chart
secondChart.selectAll("rect.firstSecondBars")
.data(varData)
.enter()
.append("rect")
.attr("id", "firstSecondBars")
.attr("x", 0)
.attr("y", function(d, i) {
var numBars = varData.length;
return i * height / numBars;
})
.attr("width", function(d) { return second_xScale(d); })
.attr("height", second_yScale.bandwidth())
.attr("fill", function(d) { return colorScale((d / 100)); })
.attr("stroke", "black")
.attr("stroke-opacity", 0)
.attr("stroke-width", 2);
// create x axis for second chart
secondChart.append("g")
.attr("class", "xAxis")
.attr("id", "second_xAxis")
.attr("transform", "translate(0," + height + ")")
.call(second_xAxis);
// create y axis for first chart
firstChart.append("g")
.attr("class", "yAxis")
.attr("id", "first_yAxis")
.call(first_yAxis);
// create y axis for second chart
secondChart.append("g")
.attr("class", "yAxis")
.attr("id", "second_yAxis")
.call(second_yAxis);
// interactivity for first chart
firstChart.selectAll("#firstBars")
.on("click", function(d) {
//change color of bars
firstChart.selectAll("#firstBars")
.attr("fill", bar.color.unfilled);
d3.select(this)
.attr("fill", function() { return bar.color.filled });
setDimensions();
// record which bar was clicked
current_country = d.country;
bar.clicked = this;
console.log(current_country)
console.log(this)
// push data from new country
pushVariableData(current_country);
// change bars of second chart
secondChart.selectAll("#firstSecondBars")
.data(varData)
.transition()
.duration(duration)
.attr("width", function(d) { return second_xScale(d); })
.attr("y", function(d, i) {
var numBars = varData.length;
return i * height / numBars;
})
.attr("height", second_yScale.bandwidth())
.attr("fill", function(d) { return colorScale((d / 100)); });
// change text of second chart
secondChart.selectAll("#secondBarText")
.data(varData)
.transition()
.duration(duration)
.tween("text", function(d) {
var that = d3.select(this);
var i = d3.interpolate(that.text().replace(/%/g, ""), d);
return function (t) {
that.text(formatDecimal(i(t)/100));
};
});
})
.on("mouseover", function() {
//fill bar
d3.select(this)
.attr("fill", bar.color.filled);
})
.on("mouseout", function() {
var top_bar = d3.min(forecast, function(d) {return first_yScale(d.country); });
if (bar.clicked === null && d3.format(".2f")(this.y.animVal.value) !==
d3.format(".2f")(top_bar)) {
d3.select(this)
.transition()
.duration(250)
.attr("fill", bar.color.unfilled);
console.log(bar.clicked);
} else if (bar.clicked !== null && this !== bar.clicked) {
d3.select(this)
.transition()
.duration(250)
.attr("fill", bar.color.unfilled);
console.log("second unfilled")
}
});
// interactivity for second chart
secondChart.selectAll("#firstSecondBars")
.on("mouseover", function(d, i) {
// create text for tooltip
var lineOne = '<p class="ttipText">' + '<b>' + tooltipVar[i] +'</b>' + '</p>',
lineTwo = '<p class="ttipText">' + '<b>' + "Metric: " + '</b>' +
tooltipMetric[i] + '</p>',
lineThree = '<p class="ttipText">' + '<b>' + "Data source: " + '</b>' +
tooltipDataSource[i] + '</p>';
var lineFour = '<p class="ttipText">' + "Among the " + '<b>' + dictionary_data.length + '</b>' +
" countries measured since 1945, " + '<b>' + current_country + '</b>' +
" has a percentile rank of " + '<b>' + d + "%" + '</b>' + " for this variable" + '</p>';
// make tooltip visible and add text
ttip
.style("display", "inline-block")
.html(lineOne + "</br>" + lineTwo + "</br>" + lineThree + "</br>" + lineFour);
// add black stroke to selected bar
d3.select(this)
.style("stroke-opacity", 1);
})
.on("mousemove", function() {
// update height and width variables
setDimensions();
// update tooltip position
ttip
.style("top", function() {
// record tooltip height because it varies
ttipHeight = $(this).height(); // using jQuery
// set position of tooltip based on its and page's height
if ((d3.event.pageY + ttipHeight) <= height) {
return (d3.event.pageY + margin.tooltip) + "px";
} else {
return (d3.event.pageY - margin.tooltip * 2 - ttipHeight) + "px";
}
})
.style("left",(d3.event.pageX / 1.1) + "px"); // figure out why 1.1 is best
})
.on("mouseout", function() {
// make tooltip invisible
ttip.style("display", "none");
// remove bar stroke
d3.select(this)
.style("stroke-opacity", 0);
})
}
});
/*------------------------------------
UPDATING CHARTS ON WINDOW RESIZE
------------------------------------*/
function resize() {
// get new width and height
setDimensions();
// reset scales
setScales(width, height);
// update axes for first chart
firstChart.select("#first_xAxis")
.call(first_xAxis)
.attr("transform", "translate(0," + height + ")");
// update axes for first chart
first_xAxis.ticks(Math.max(width / 75, 3));
second_xAxis.ticks(Math.max(width / 75, 3));
firstChart.select("#first_yAxis")
.call(first_yAxis);
// update axes for second chart
secondChart.select("#second_xAxis")
.call(second_xAxis)
.attr("transform", "translate(0," + height + ")");
secondChart.select("#second_yAxis")
.call(second_yAxis);
// update bars for first chart
firstChart.selectAll("#firstBars")
.attr("y", function(d) { return first_yScale(d.country) })
.attr("width", function(d) { return first_xScale(d.mean_p); })
.attr("height", first_yScale.bandwidth());
// update first bars for second chart
secondChart.selectAll("#firstSecondBars")
.attr("y", function(d, i) {
var numBars = varData.length;
return i * height / numBars;
})
.attr("width", function(d) { return second_xScale(d); })
.attr("height", second_yScale.bandwidth());
// update second bars for second chart
secondChart.selectAll("#secondSecondBars")
.attr("y", function(d, i) {
var numBars = varData.length;
return i * height / numBars;
})
.attr("width", second_xScale(100))
.attr("height", second_yScale.bandwidth());
// update bars' texts for first chart
firstChart.selectAll("#firstBarText")
.attr("font-size", function() { return first_yScale.bandwidth() / 2; })
.attr("x", function(d) {
var width = this.getComputedTextLength();
return first_xScale(d.mean_p) + width;
})
.attr("y", function(d) { return first_yScale(d.country) + (first_yScale.bandwidth() / 1.5); });
// update bars' texts for second chart
secondChart.selectAll("#secondBarText")
.attr("font-size", function() { return second_yScale.bandwidth() / 1.5; })
.attr("x", function() {
var textLength = this.getComputedTextLength();
return second_xScale(100) + (textLength / 2) + (second_yScale.bandwidth() / 2); })
.attr("y", function(d, i) {
var numBars = varData.length;
return (i * height / numBars) + (second_yScale.bandwidth() / 1.5);
});
}
resize();
// call the resize function whenever a resize event occurs
d3.select(window).on('resize', resize);
//window.addEventListener("resize", resize);
</script>
</body>
</html>
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mean_pPER Risk Risk of state-led mass killing Average of forecasts from three models MISSING rf_pPER RF model Random forest model Random forest machine learning method applied to all of the factors identified by elite threat and bad regime models MISSING threat_pPER ET model Elite threat model Forecasts of future coup attempts and new civil wars as proxy measures of events that could either spur incumbent rulers to lash out against threats to their power or usher in an insecure new regime that might do the same (fitted with logistic regression) MISSING harff_pPER BR model Bad regime model Features of countries’ national politics that hint at a predilection to commit genocide or politicide - especially in the context of political instability (fitted with logistic regression) MISSING coup_pPER Coup model MISSING MISSING MISSING cwar_pPER CW model MISSING MISSING MISSING pitf_pPER PITF model MISSING MISSING MISSING pol_cat_fl1PER Autocracy (FL) Regime type: autocracy Binary (yes / no) Polity IV (Fearon and Laitin) pol_cat_fl2PER Anocracy (FL) Regime type: anocracy Binary (yes / no) Polity IV (Fearon and Laitin) pol_cat_fl3PER Democracy (FL) Regime type: democracy Binary (yes / no) Polity IV (Fearon and Laitin) pol_cat_fl7PER Other regime (FL) Regime type: other Binary (yes / no) Polity IV (Fearon and Laitin) pol_cat_pitf2PER Partial autocracy (PITF) Regime type: partial autocracy Binary (yes / no) Polity IV (Political Instability Task Force (PITF)) pol_cat_pitf5PER Full dem. (PITF) Regime type: full democracy Binary (yes / no) Polity IV (Political Instability Task Force (PITF)) pol_cat_pitf4PER Partial dem. (PITF) Regime type: partial democracy without factionalism Binary (yes / no) Polity IV (Political Instability Task Force (PITF)) pol_cat_pitf3PER Partial dem. w/ fac. (PITF) Regime type: partial democracy with factionalism Binary (yes / no) Polity IV (Political Instability Task Force (PITF)) pol_cat_pitf6PER Other regime (PITF) Regime type: other Binary (yes / no) Polity IV (Political Instability Task Force (PITF)) pol_autocPER Autocracy score Autocracy score Binary (yes / no) Polity IV pol_durable_lnPER Regime: duration Regime duration (logged) number of years since i) the most recent regime change or ii) the end of transition period defined by the lack of stable political institutions Polity IV pit_sftpuhvl2_10_lnPER Instability Instability (logged) Sum of max annual magnitudes of PITF instability metrics other than genocide from past 10 years Political Instability Task Force (PITF) State Failure Problem Set mkl_everPER Mass killing: any Any state-led mass killing since WWII Binary (yes / no) Early Warning Project’s Episodes of State-Led Mass Killing Dataset mkl_ongoingPER Mass killing: ongoing Any ongoing episodes of state-led mass killing Binary (yes / no) Early Warning Project’s Episodes of State-Led Mass Killing Dataset mev_regac_lnPER Armed conflict Scalar measure of armed conflict in geographic region (logged) Sum of all magnitude scores (of societal-systemic impact on 1-10 scale) of major episodes of political violence (societal and interstate) for all regional states Center for Systemic Peace’s Major Episodes of Political Violence mev_civtot_lnPER Civil conflict Scale of violent civil conflict (logged) Sum of all magnitude scores (of societal-systemic impact on 1-10 scale) of societal major episodes of political violence for all regional states Center for Systemic Peace’s Major Episodes of Political Violence cou_tries5dPER Coup attempts Any coup attempts in past 5 years Binary (yes / no) Center for Systemic Peace’s List of Coups d’Etat & Powell and Thyne’s Coups d’Etat (1950 to Present) dis_l4pop_lnPER State-led discrimination State-led discrimination (logged) Percent of population subjected to state-led discrimination Center for Systemic Peace’s Discrimination Data Set (via PITF) elc_elethcPER Elite: ethnicity Salient elite ethnicity Binary (yes / no) Elite Leadership Characteristics dataset (Ted Robert Gurr and Barbara Harff) elc_eleth1PER Majority elite rule Salient elite ethnicity: majority rule Binary (yes / no) Elite Leadership Characteristics dataset (Ted Robert Gurr and Barbara Harff) elc_eleth2PER Minority elite rule Salient elite ethnicity: minority rule Binary (yes / no) Elite Leadership Characteristics dataset (Ted Robert Gurr and Barbara Harff) elc_elitiPER Elite: exclusivity Ruling elites espouse an exclusionary ideology Binary (yes / no) Elite Leadership Characteristics dataset (Ted Robert Gurr and Barbara Harff) elf_ethnicc1PER Ethnic frac.: low Ethnic fractionalization: low Binary (yes / no) Anderson’s Ethnic Fractionalization Data elf_ethnicc2PER Ethnic frac: med. Ethnic fractionalization: medium Binary (yes / no) Anderson’s Ethnic Fractionalization Data elf_ethnicc3PER Ethnic frac: high Ethnic fractionalization: high Binary (yes / no) Anderson’s Ethnic Fractionalization Data elf_ethnicc9PER Ethnic frac: missing Ethnic fractionalization: missing Binary (yes / no) Anderson’s Ethnic Fractionalization Data countryage_lnPER Country age Country age (logged) Years MISSING ios_iccpr1PER ICCPR International Covenant on Civil and Political Rights (ICCPR) 1st Optional Protocol signatory Binary (yes / no) MISSING wdi_trade_lnPER Trade openness Trade openness (logged) Trade as percentage of GDP World Bank’s World Development Indicators (via R package ’WDI’) gdppcgrow_srPER GDP change Annual percent change in GDP per capita (square root) GDP MISSING wdi_popsize_lnPER Population Population size (logged) Number of people World Bank’s World Development Indicators (via R package ’WDI’) imr_normed_lnPER Infant mortality Infant mortality rate relative to annual global median (logged) Number of deaths of infants under 1 year of age from a cohort of 1000 live births U.S. Bureau of the Census (International Division (via PITF)) reg_eapPER Region: EAP Region: East Asia and Pacific Binary (yes / no) U.S. Department of State reg_eurPER Region: EUR Region: Europe and Eurasia Binary (yes / no) U.S. Department of State reg_mnaPER Region: MENA Region: Middle East and North Africa Binary (yes / no) U.S. Department of State reg_scaPER Region: SCA Region: South and Central Asia Binary (yes / no) U.S. Department of State reg_amrPER Region: AMER Region: Americas Binary (yes / no) U.S. Department of State reg_afrPER Region: AFR Region: Sub-Saharan Africa Binary (yes / no) U.S. Department of State
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