0.7013 0.6797 0.7037 0.7266 0.7122 0.7165 0.7195 0.6520 0.7091 0.6455 0.6907 0.6824 0.6859 0.6983 0.7128 0.6624 0.6654 0.7194 0.6712 0.6742 0.6518 0.7444 0.7072 0.6889 0.6409 0.6482 0.6973 0.6982 0.6908 0.6927
parameter for estimating global gender gap index of world economic forum
Global Gender Gap Report - wikipedia Global Gender Gap Report Cover of the report The Global Gender Gap Report was first published in 2006 by the World Economic Forum . The 2017 report covers 144 major and emerging economies . The Global Gender Gap Index is an index designed to measure gender equality . Contents ( hide ) 1 Methodology 2 WEF Global Gender Gap Index rankings 3 Controversies 4 See also 5 Notes 6 References 7 External links 7.1 Reports Methodology ( edit ) The report 's Gender Gap Index ranks countries according to calculated gender gap between women and men in four key areas : health , education , economy and politics to gauge the state of gender equality in a country . The report measures women 's disadvantage compared to men , and is not strictly a measure of equality . Gender imbalances to the advantage of women do not affect the score . So , for example , the indicator `` number of years of a female head of state ( last 50 years ) over male value '' would score 1 if the number of years was 25 , but would still score 1 if the number of years was 50 . Due to this methodology , gender gaps that favor women over men are reported as equality , for example the life expectancy of women being longer than men in a country would not cause deficits of equality in other areas to become less visible in the score . The three highest ranking countries have closed over 84 % of their gender gaps , while the lowest ranking country has closed only a little over 50 % of its gender gap . It `` assesses countries on how well they are dividing their resources and opportunities among their male and female populations , regardless of the overall levels of these resources and opportunities , '' the Report says . `` By providing a comprehensible framework for assessing and comparing global gender gaps and by revealing those countries that are role models in dividing these resources equitably between women and men , the Report serves as a catalyst for greater awareness as well as greater exchange between policymakers . '' The report examines four overall areas of inequality between men and women in 130 economies around the globe , over 93 % of the world 's population : Economic participation and opportunity -- outcomes on salaries , participation levels and access to high - skilled employment Educational attainment -- outcomes on access to basic and higher level education Political empowerment -- outcomes on representation in decision - making structures Health and survival -- outcomes on life expectancy and sex ratio . In this case parity is not assumed , there are assumed to be fewer female births than male ( 944 female for every 1,000 males ) , and men are assumed to die younger . Provided that women live at least six percent longer than men , parity is assumed . But if it is less than six percent it counts as a gender gap . Thirteen out of the fourteen variables used to create the index are from publicly available `` hard data '' indicators from international organizations , such as the International Labour Organization , the United Nations Development Programme and the World Health Organization . WEF Global Gender Gap index Rankings ( edit ) The highest possible score is 1 ( equality or better for women , except for lifespan ( 106 % or better for women ) and gender parity at birth ( 94.4 % or better for women ) ) and the lowest possible score is 0 . Data for some countries are unavailable . The WEF Gender gap index world map for 2017 Country Region <Th_colspan="12"> Year 2006 2007 2008 2009 2011 2012 2013 2014 2015 2016 2017 Albania Europe 0.6607 0.6685 0.6591 0.6601 0.6726 0.6748 0.6655 0.6412 0.6869 0.701 0.704 0.728 Algeria Africa 0.6018 0.6068 0.6111 0.6119 0.6052 0.5991 0.6112 0.5966 0.6182 0.632 0.642 0.629 Angola Africa 0.6039 0.6034 0.6032 0.6353 0.6712 0.6624 N / A 0.6659 0.6311 0.637 0.643 0.640 Argentina South America 0.6829 0.6982 0.7209 0.7211 0.7187 0.7236 0.7212 0.7195 0.7317 0.734 0.735 0.732 Armenia Europe and Central Asia N / A 0.6651 0.6677 0.6619 0.6669 0.6654 0.6636 0.6634 0.6622 0.668 0.669 0.677 Australia Oceania 0.7163 0.7204 0.7241 0.7282 0.7271 0.7291 0.7294 0.7390 0.7409 0.733 0.721 0.731 Austria Europe 0.6986 0.7060 0.7153 0.7031 0.7091 0.7165 0.7391 0.7437 0.7266 0.733 0.716 0.709 Azerbaijan Europe and Central Asia N / A 0.6781 0.6856 0.6626 0.6446 0.6577 0.6546 0.6582 0.6753 0.675 0.684 0.676 Bahamas North America N / A N / A N / A 0.7179 0.7128 0.7340 0.7156 0.7128 0.7269 0.728 0.729 0.743 Bahrain Middle East 0.5894 0.5931 0.5927 0.6136 0.6217 0.6232 0.6298 0.6334 0.6261 0.644 0.615 0.632 Bangladesh South Asia 0.6270 0.6314 0.6531 0.6526 0.6702 0.6812 0.6684 0.6848 0.6973 0.704 0.698 0.719 Barbados North America N / A N / A 0.7188 0.7236 0.7176 0.7170 0.7232 0.7301 0.7289 0.744 0.739 0.750 Belarus Europe N / A N / A N / A N / A N / A N / A N / A N / A N / A 0.734 0.737 0.744 Belgium Europe 0.7078 0.7198 0.7163 0.7165 0.7509 0.7531 0.7652 0.7684 0.7809 0.753 0.745 0.739 Belize North America N / A 0.6426 0.6610 0.6636 0.6536 0.6489 0.6465 0.6449 0.6701 0.668 0.676 0.692 Benin Africa 0.5780 0.5656 0.5582 0.5643 0.5719 0.5832 0.6258 0.5885 N / A 0.625 0.636 0.652 Bhutan South Asia N / A N / A N / A N / A N / A N / A N / A 0.6651 0.6364 0.646 0.642 0.538 Bolivia South America 0.6335 0.6574 0.6667 0.6693 0.6751 0.6862 0.7222 0.7340 0.7049 0.749 0.746 0.758 Botswana Africa 0.6897 0.6797 0.6839 0.7071 0.6876 0.6832 0.6744 0.6752 0.7129 0.710 0.715 0.720 Brazil South America 0.6543 0.6637 0.6737 0.6695 0.6655 0.6679 0.6909 0.6949 0.6941 0.686 0.687 0.684 Brunei Darussalam Southeast Asia N / A N / A 0.6392 0.6524 0.6748 0.6787 0.6750 0.6730 0.6719 0.684 0.669 0.671 Bulgaria Europe 0.6870 0.7085 0.7077 0.7072 0.6983 0.6987 0.7021 0.7097 0.7444 0.722 0.726 0.756 Burkina Faso Africa 0.5854 0.5912 0.6029 0.6081 0.6162 0.6153 0.6455 0.6513 0.6500 0.651 0.64 0.646 Burundi Africa N / A N / A N / A N / A N / A 0.7270 0.7338 0.7397 0.7565 0.748 0.768 0.755 Cambodia Southeast Asia 0.6291 0.6353 0.6469 0.6410 0.6482 0.6464 0.6457 0.6509 0.6520 0.662 0.658 0.676 Cameroon Africa 0.5865 0.5919 0.6017 0.6108 0.6110 0.6073 0.6291 0.6560 N / A 0.682 0.684 0.689 Canada North America 0.7165 0.7198 0.7136 0.7196 0.7372 0.7407 0.7381 0.7425 0.7464 0.740 0.731 0.769 Cape Verde Africa N / A N / A N / A N / A N / A N / A 0.7180 0.7122 0.7133 0.717 0.729 0.686 Chad Africa 0.5247 0.5381 0.5290 0.5417 0.5330 0.5334 0.5594 0.5588 0.5764 0.580 0.587 0.575 Chile South America 0.6455 0.6482 0.6818 0.6884 0.7013 0.7030 0.6676 0.6670 0.6975 0.698 0.699 0.704 China East Asia 0.6561 0.6643 0.6878 0.6907 0.6881 0.6866 0.6853 0.6908 0.6830 0.682 0.676 0.674 Colombia South America 0.7049 0.7090 0.6944 0.6939 0.6927 0.6714 0.6901 0.7171 0.7122 0.725 0.727 0.731 Costa Rica North America 0.6936 0.7014 0.7111 0.7180 0.7194 0.7266 0.7225 0.7241 0.7165 0.732 0.736 0.727 Côte d'Ivoire Africa N / A N / A N / A N / A 0.5691 0.5773 0.5785 0.5814 0.5874 0.606 0.597 0.611 Croatia Europe 0.7145 0.7210 0.6967 0.6944 0.6939 0.7006 0.7053 0.7069 0.7075 0.708 0.7 0.711 Cuba North America N / A 0.7169 0.7195 0.7176 0.7253 0.7394 0.7417 0.7540 0.7317 0.740 0.74 0.745 Cyprus Europe and Middle East 0.6430 0.6522 0.6694 0.6706 0.6642 0.6567 0.6732 0.6801 0.6741 0.671 0.684 0.684 Czech Republic Europe 0.6712 0.6718 0.6770 0.6789 0.6850 0.6789 0.6767 0.6770 0.6737 0.687 0.69 0.688 Denmark Europe 0.7462 0.7519 0.7538 0.7628 0.7719 0.7778 0.7777 0.7779 0.8025 0.767 0.754 0.776 Dominican Republic North America 0.6639 0.6705 0.6744 0.6859 0.6774 0.6682 0.6659 0.6867 0.6906 0.686 0.676 0.697 Ecuador South America 0.6433 0.6881 0.7091 0.7220 0.7072 0.7035 0.7206 0.7389 0.7455 0.738 0.726 0.724 Egypt Middle East and Africa 0.5786 0.5809 0.5832 0.5862 0.5899 0.5933 0.5975 0.5935 0.6064 0.599 0.614 0.608 El Salvador North America 0.6837 0.6853 0.6875 0.6939 0.6596 0.6567 0.6630 0.6609 0.6863 0.706 0.702 0.705 Estonia Europe 0.6944 0.7008 0.7076 0.7094 0.7018 0.6983 0.6977 0.6997 0.7017 0.749 0.747 0.731 Ethiopia Africa 0.5946 0.5991 0.5867 0.5948 0.6019 0.6136 0.6200 0.6198 0.6144 0.640 0.662 0.656 Fiji Oceania N / A N / A N / A 0.6414 0.6256 0.6255 0.6285 0.6286 0.6286 0.645 N / A N / A Finland Europe 0.7958 0.8044 0.8195 0.8252 0.8260 0.8383 0.8451 0.8421 0.8453 0.850 0.845 0.823 France Europe 0.6520 0.6824 0.7341 0.7331 0.7025 0.7018 0.6984 0.7089 0.7588 0.761 0.755 0.778 Gambia , The Africa 0.6448 0.6421 0.6622 0.6752 0.6762 0.6763 0.6630 N / A N / A 0.674 0.667 0.649 Georgia Europe and Central Asia 0.6700 0.6665 0.6654 0.6680 0.6598 0.6624 0.6691 0.6750 0.6855 0.687 0.681 0.679 Germany Europe 0.7524 0.7618 0.7394 0.7449 0.7530 0.7590 0.7629 0.7583 0.7780 0.779 0.766 0.778 Ghana Africa 0.6653 0.6725 0.6679 0.6704 0.6782 0.6811 0.6778 0.6811 0.6661 0.704 0.705 0.695 Greece Europe 0.6540 0.6648 0.6727 0.6662 0.6908 0.6916 0.6716 0.6782 0.6784 0.685 0.68 0.692 Guatemala North America 0.6067 0.6144 0.6072 0.6209 0.6238 0.6229 0.6260 0.6304 0.6821 0.667 0.666 0.667 Guinea Africa N / A N / A N / A N / A N / A N / A N / A N / A N / A 0.618 0.64 0.659 Guyana South America N / A N / A N / A 0.7108 0.7090 0.7084 0.7119 0.7085 0.7010 0.702 N / A N / A Honduras North America 0.6483 0.6661 0.6960 0.6893 0.6927 0.6945 0.6763 0.6773 0.6935 0.688 0.69 0.711 Hungary Europe 0.6698 0.6731 0.6867 0.6879 0.6720 0.6642 0.6718 0.6742 0.6759 0.672 0.669 0.670 Iceland Europe 0.7813 0.7836 0.7999 0.8276 0.8496 0.8530 0.8640 0.8731 0.8594 0.881 0.874 0.878 India South Asia 0.6011 0.5936 0.6060 0.6151 0.6155 0.6190 0.6442 0.6551 0.6455 0.664 0.683 0.669 Indonesia Southeast Asia 0.6541 0.6550 0.6473 0.6580 0.6615 0.6594 0.6591 0.6613 0.6725 0.681 0.682 0.691 Iran , Islamic Rep . Middle East 0.5803 0.5903 0.6021 0.5839 0.5933 0.5894 0.5927 0.5842 0.5811 0.580 0.587 0.583 Ireland Europe 0.7335 0.7457 0.7518 0.7597 0.7773 0.7830 0.7839 0.7823 0.7850 0.807 0.797 0.794 Israel Middle East 0.6889 0.6965 0.6900 0.7019 0.6957 0.6926 0.6989 0.7032 0.7005 0.712 0.719 0.721 Italy Europe 0.6456 0.6498 0.6788 0.6798 0.6765 0.6796 0.6729 0.6885 0.6973 0.726 0.719 0.692 Jamaica North America 0.7014 0.6925 0.6980 0.7013 0.7037 0.7028 0.7035 0.7085 0.7128 0.703 0.724 0.717 Japan East Asia 0.6447 0.6455 0.6434 0.6447 0.6524 0.6514 0.6530 0.6498 0.6584 0.670 0.66 0.657 Jordan Middle East 0.6109 0.6203 0.6275 0.6182 0.6048 0.6117 0.6103 0.6093 0.5968 0.593 0.603 0.604 Kazakhstan Central Asia 0.6928 0.6983 0.6976 0.7013 0.7055 0.7010 0.7213 0.7218 0.7210 0.719 0.718 0.713 Kenya Africa 0.6486 0.6508 0.6547 0.6512 0.6499 0.6493 0.6768 0.6803 0.7258 0.719 0.702 0.694 Korea , Rep . East Asia 0.6157 0.6409 0.6154 0.6146 0.6342 0.6281 0.6356 0.6351 0.6403 0.651 0.649 0.650 Kuwait Middle East 0.6341 0.6409 0.6358 0.6356 0.6318 0.6322 0.6320 0.6292 0.6457 0.646 0.624 0.679 Kyrgyz Republic Central Asia 0.6742 0.6653 0.7045 0.7058 0.6973 0.7036 0.7013 0.6948 0.6974 0.693 0.687 0.691 Laos Southeast Asia N / A N / A N / A N / A N / A N / A N / A 0.6993 0.7044 0.713 N / A 0.703 Latvia Europe 0.7091 0.7333 0.7397 0.7416 0.7429 0.7399 0.7572 0.7610 0.7691 0.752 0.755 0.756 Lebanon Middle East N / A N / A N / A N / A 0.6084 0.6083 0.6030 0.6028 0.5923 0.598 0.598 0.596 Lesotho Africa 0.6807 0.7078 0.7320 0.7495 0.7678 0.7666 0.7608 0.7530 0.7255 0.706 0.706 0.695 Liberia Africa N / A N / A N / A N / A N / A N / A N / A N / A N / A 0.652 0.652 0.669 Lithuania Europe 0.7077 0.7234 0.7222 0.7175 0.7132 0.7131 0.7191 0.7308 0.7208 0.740 0.744 0.742 Luxembourg Europe 0.6671 0.6786 0.6802 0.6889 0.7231 0.7216 0.7439 0.7410 0.7333 0.738 0.734 0.706 Macedonia Europe 0.6983 0.6967 0.6914 0.6950 0.6996 0.6966 0.6968 0.7013 0.6943 0.701 0.696 0.702 Madagascar Africa 0.6385 0.6461 0.6736 0.6732 0.6713 0.6797 0.6982 0.7016 0.7214 0.698 0.704 0.692 Malawi Africa 0.6437 0.6480 0.6664 0.6738 0.6824 0.6850 0.7166 0.7139 0.7281 0.701 0.7 0.672 Malaysia Southeast Asia 0.6509 0.6444 0.6442 0.6467 0.6479 0.6525 0.6539 0.6518 0.6520 0.655 0.666 0.670 Maldives South Asia N / A 0.6350 0.6501 0.6482 0.6452 0.6480 0.6616 0.6604 0.6557 0.652 . 65 0.669 Mali Africa 0.5996 0.6019 0.6117 0.5860 0.5680 0.5752 0.5842 0.5872 0.5779 0.599 0.591 0.583 Malta Europe 0.6518 0.6615 0.6634 0.6635 0.6695 0.6658 0.6666 0.6761 0.6707 0.668 0.664 0.682 Mauritania Africa 0.5835 0.6022 0.6117 0.6103 0.6152 0.6164 0.6129 0.5810 0.6029 0.613 0.624 0.614 Mauritius Africa 0.6328 0.6487 0.6466 0.6513 0.6520 0.6529 0.6547 0.6599 0.6541 0.646 0.652 0.664 Mexico North America 0.6462 0.6441 0.6441 0.6503 0.6577 0.6604 0.6712 0.6917 0.6900 0.699 0.7 0.692 Moldova Europe 0.7128 0.7172 0.7244 0.7104 0.7160 0.7083 0.7101 0.7037 0.7405 0.742 0.741 0.740 Mongolia East Asia 0.6821 0.6731 0.7049 0.7221 0.7194 0.7140 0.7111 0.7204 0.7212 0.709 0.705 0.713 Montenegro Europe N / A N / A N / A N / A N / A N / A N / A N / A N / A 0.689 0.681 0.693 Morocco Africa 0.5827 0.5676 0.5757 0.5926 0.5767 0.5804 0.5833 0.5845 0.5988 0.593 0.597 0.598 Mozambique Africa N / A 0.6883 0.7266 0.7195 0.7329 0.7251 0.7350 0.7349 0.7370 0.741 0.75 0.741 Myanmar Southeast Asia N / A N / A N / A N / A N / A N / A N / A N / A N / A N / A N / A 0.691 Namibia Africa 0.6864 0.7012 0.7141 0.7167 0.7238 0.7177 0.7121 0.7094 0.7219 0.760 0.765 0.777 Nepal South Asia 0.5478 0.5575 0.5942 0.6213 0.6084 0.5888 0.6026 0.6053 0.6458 0.658 0.661 0.664 Netherlands Europe 0.7250 0.7383 0.7399 0.7490 0.7444 0.7470 0.7659 0.7608 0.7730 0.776 0.756 0.737 New Zealand Oceania 0.7509 0.7649 0.7859 0.7880 0.7808 0.7810 0.7805 0.7799 0.7772 0.782 0.781 0.791 Nicaragua North America 0.6566 0.6458 0.6747 0.7002 0.7176 0.7245 0.7697 0.7715 0.7894 0.776 0.78 0.814 Nigeria Africa 0.6104 0.6122 0.6339 0.6280 0.6055 0.6011 0.6315 0.6469 0.6391 0.638 0.643 0.641 Norway Europe 0.7994 0.8059 0.8239 0.8227 0.8404 0.8404 0.8403 0.8417 0.8374 0.850 0.842 0.830 Oman Middle East N / A 0.5903 0.5960 0.5938 0.5950 0.5873 0.5986 0.6053 0.6091 0.604 0.612 N / A Pakistan South Asia 0.5434 0.5509 0.5549 0.5458 0.5465 0.5583 0.5478 0.5459 0.5522 0.559 0.556 0.546 Panama North America 0.6935 0.6954 0.7095 0.7024 0.7072 0.7042 0.7122 0.7164 0.7195 0.772 0.721 0.722 Paraguay South America 0.6556 0.6659 0.6379 0.6868 0.6804 0.6818 0.6714 0.6724 0.6890 0.666 0.676 0.678 Peru South America 0.6619 0.6624 0.6959 0.7024 0.6895 0.6796 0.6742 0.6787 0.7198 0.683 0.687 0.719 Philippines Southeast Asia 0.7516 0.7629 0.7568 0.7579 0.7654 0.7685 0.7757 0.7832 0.7814 0.790 0.786 0.790 Poland Europe 0.6802 0.6756 0.6951 0.6998 0.7037 0.7038 0.7015 0.7031 0.7051 0.715 0.727 0.728 Portugal Europe 0.6922 0.6959 0.7051 0.7013 0.7171 0.7144 0.7071 0.7056 0.7243 0.731 0.737 0.734 Qatar Middle East N / A 0.6041 0.5948 0.5907 0.6059 0.6230 0.6264 0.6299 0.6403 0.645 0.643 0.626 Romania Europe 0.6797 0.6859 0.6763 0.6805 0.6826 0.6812 0.6859 0.6908 0.6936 0.693 0.69 0.708 Russian Federation Europe and Northern Asia 0.6770 0.6866 0.6994 0.6987 0.7036 0.7037 0.6980 0.6983 0.6927 0.694 0.691 0.696 Rwanda Africa N / A N / A N / A N / A N / A N / A N / A N / A N / A 0.794 0.8 0.822 Saudi Arabia Middle East 0.5242 0.5647 0.5537 0.5651 0.5713 0.5753 0.5731 0.5879 0.6059 0.605 0.583 0.584 Senegal Africa N / A N / A N / A 0.6427 0.6414 0.6573 0.6657 0.6923 0.6912 0.698 0.685 0.684 Serbia Europe N / A N / A N / A N / A N / A N / A 0.7037 0.7116 0.7086 0.720 0.72 0.727 Singapore Southeast Asia 0.6550 0.6609 0.6625 0.6664 0.6914 0.6914 0.6989 0.7000 0.7046 0.711 0.712 0.702 Slovakia Europe 0.6757 0.6797 0.6824 0.6845 0.6778 0.6797 0.6824 0.6857 0.6806 0.675 0.679 0.694 Slovenia Europe 0.6745 0.6842 0.6937 0.6982 0.7047 0.7041 0.7132 0.7155 0.7443 0.784 0.786 0.805 South Africa Africa 0.7125 0.7194 0.7232 0.7709 0.7535 0.7478 0.7496 0.7510 0.7527 0.759 0.764 0.756 Spain Europe 0.7319 0.7444 0.7281 0.7345 0.7554 0.7580 0.7266 0.7266 0.7325 0.742 0.738 0.746 Sri Lanka South Asia 0.7199 0.7230 0.7371 0.7402 0.7458 0.7212 0.7122 0.7019 0.6903 0.686 0.673 0.669 Suriname South America N / A 0.6794 0.6674 0.6726 0.6407 0.6395 0.6409 0.6369 0.6504 0.670 0.679 0.689 Swaziland Africa N / A N / A N / A N / A N / A N / A N / A N / A N / A 0.670 0.665 0.670 Sweden Europe 0.8133 0.8146 0.8139 0.8139 0.8024 0.8044 0.8159 0.8129 0.8165 0.823 0.815 0.816 Switzerland Europe 0.6997 0.6924 0.7360 0.7426 0.7562 0.7627 0.7672 0.7736 0.7798 0.785 0.776 0.755 Syria Middle East N / A 0.6216 0.6181 0.6072 0.5926 0.5896 0.5626 0.5661 0.5775 0.568 0.567 0.568 Tajikistan Central Asia N / A 0.6578 0.6541 0.6661 0.6598 0.6526 0.6608 0.6682 0.6654 0.675 0.679 0.678 Tanzania Africa 0.7038 0.6969 0.7068 0.6797 0.6829 0.6904 0.7091 0.6928 0.7182 0.718 0.716 0.700 Thailand Southeast Asia 0.6831 0.6815 0.6917 0.6907 0.6910 0.6892 0.6893 0.6928 0.7027 0.706 0.699 0.694 Timor - Leste Southeast Asia N / A N / A N / A N / A N / A N / A 0.6855 N / A N / A N / A 0.637 0.628 Trinidad and Tobago North America 0.6797 0.6859 0.7245 0.7298 0.7353 0.7372 0.7116 0.7166 0.7154 0.720 0.723 N / A Tunisia Africa 0.6288 0.6283 0.6295 0.6233 0.6266 0.6255 N / A N / A 0.6272 0.634 0.636 0.651 Turkey Middle East and Europe 0.5850 0.5768 0.5853 0.5828 0.5876 0.5954 0.6015 0.6081 0.6183 0.624 0.623 0.625 Uganda Africa 0.6797 0.6833 0.6981 0.7067 0.7169 0.7220 0.7228 0.7086 0.6821 0.708 0.704 0.721 Ukraine Europe 0.6797 0.6790 0.6856 0.6896 0.6869 0.6861 0.6894 0.6935 0.7056 0.702 0.7 0.705 United Arab Emirates Middle East 0.5919 0.6184 0.6220 0.6198 0.6397 0.6454 0.6392 0.6372 0.6436 0.646 0.639 0.649 United Kingdom Europe 0.7365 0.7441 0.7366 0.7402 0.7460 0.7462 0.7433 0.7440 0.7383 0.758 0.752 0.770 United States North America 0.7042 0.7002 0.7179 0.7173 0.7411 0.7412 0.7373 0.7392 0.7463 0.740 0.722 0.718 Uruguay South America 0.6549 0.6608 0.6907 0.6936 0.6897 0.6907 0.6745 0.6803 0.6871 0.679 0.681 0.710 Venezuela South America 0.6664 0.6797 0.6875 0.6839 0.6863 0.6861 0.7060 0.7060 0.6851 0.691 0.694 0.706 Vietnam Southeast Asia N / A 0.6889 0.6778 0.6802 0.6776 0.6732 0.6867 0.6863 0.6915 0.687 0.7 0.698 Yemen Middle East 0.4595 0.4510 0.4664 0.4609 0.4603 0.4873 0.5054 0.5128 0.5145 0.484 0.516 0.516 Zambia Africa 0.6360 0.6288 0.6205 0.6310 0.6293 0.6300 0.6279 0.6312 0.6364 0.650 N / A N / A Zimbabwe Africa 0.6461 0.6464 0.6485 0.6518 0.6574 0.6607 N / A N / A 0.7013 0.709 0.71 0.717 Controversies ( edit ) There are controversies around credibility of the index , stemmed mostly from misunderstandings . On 2014 , for example , one of the most famous television news programs in South Korea described the reason why South Korea had such a low rank . According to the news , some of the raw data used to calculate the index do not reflect the country 's unique situation accurately , and that partially accounts for their rank . This conclusion is , while not entirely wrong , somewhat misleading . Since the final index is calculated by weighted averages of fourteen ratios , tweaking one or two ratios to be a little bit higher does n't affect the result much . The index is designed to `` measure gender - based gaps in access to resources and opportunities in countries rather than the actual levels of the available resources and opportunities in those countries . '' It is not necessarily true that highly developed countries should have higher scores . See also ( edit ) Gender Empowerment Measure Gender Inequality Index Gender - Related Development Index Social Institutions and Gender Index Female labour force in the Muslim world Gender pay gap Women 's rights in 2014 Gender Gap in Stem Careers Infographic Notes ( edit ) Jump up ^ Years of report publication . Values may reflect data collected the previous year . References ( edit ) Jump up ^ `` Global Gender Gap Report 2017 '' . Global Gender Gap Report 2017 . Retrieved 2018 - 05 - 11 . Jump up ^ Ricardo Hausmann , Harvard University , Laura D. Tyson , University of California , Berkeley , Saadia Zahidi , World Economic Forum , Editors ( 2009 ) . `` The Global Gender Gap Report 2009 '' ( PDF ) . World Economic Forum , Geneva , Switzerland . p. 4 . Archived from the original ( PDF ) on April 5 , 2013 . Retrieved 2009 - 11 - 02 . ( ... ) the Index rewards countries that reach the point where outcomes for women equal those for men , but it neither rewards nor penalizes cases in which women are outperforming men in particular variables CS1 maint : Multiple names : authors list ( link ) CS1 maint : Extra text : authors list ( link ) ^ Jump up to : 2008 Report , p. 24 Jump up ^ 2014 report , page 5 Jump up ^ 2008 Report , p. 5 Jump up ^ 2016 Report , Page 6 Jump up ^ http://www3.weforum.org/docs/WEF_GenderGap_Report_2012.pdf Jump up ^ `` The Global Gender Gap Report 2013 '' ( PDF ) . World Economic Forum . pp. 12 -- 13 . Jump up ^ `` Global Gender Gap Report 2014 - Reports - World Economic Forum '' . Global Gender Gap Report 2014 . ^ Jump up to : `` Global Gender Gap Report 2017 - Rankings '' . World Economic Forum . Retrieved 17 November 2017 . Jump up ^ `` Global Gender Gap Report 2015 - Rankings '' . World Economic Forum . Archived from the original on 17 April 2016 . Retrieved 28 April 2016 . Jump up ^ `` Is WEF 's South Korea 's Gender Equality Ranking really worse than Afghanistan , Saudi Arabia , and Burkina Faso , etc ? '' . reddit . Jump up ^ `` Why the U.S. is losing the global fight for gender equality '' . fortune.com . Jump up ^ `` FactCheck : South Korea ranked 117th . Is that accurate ? '' . YouTube . Jump up ^ 2016 report , page 5 External links ( edit ) `` Women Leaders and Gender Parity '' . World Economic Forum . Geneva , Switzerland . Archived from the original on 2008 - 11 - 13 . Retrieved 2008 - 11 - 19 . Daily chart : Sex and equality , The Economist , Oct 25th 2013 Reports ( edit ) Ricardo Hausmann ; Laura D. Tyson ; Yasmina Bekhouche ; Saadia Zahidi ( 2014 ) . The Global Gender Gap Index 2014 ( PDF ) . World Economic Forum , Geneva , Switzerland . Retrieved 2014 - 11 - 26 . Ricardo Hausmann , Laura D. Tyson , Saadia Zahidi , Editors ( 2013 ) . The Global Gender Gap Report 2013 ( PDF ) . World Economic Forum , Geneva , Switzerland . Retrieved 2013 - 10 - 26 . CS1 maint : Multiple names : authors list ( link ) CS1 maint : Extra text : authors list ( link ) Ricardo Hausmann , Laura D. Tyson , Saadia Zahidi , Editors ( 2012 ) . The Global Gender Gap Report 2012 ( PDF ) . World Economic Forum , Geneva , Switzerland . Retrieved 2012 - 10 - 26 . CS1 maint : Multiple names : authors list ( link ) CS1 maint : Extra text : authors list ( link ) The Global Gender Gap Report 2010 ( PDF ) . Ricardo Hausmann , Laura D. Tyson , Saadia Zahidi , Editors ( 2010 ) . The Global Gender Gap Report 2010 ( PDF ) . World Economic Forum , Geneva , Switzerland . Retrieved 2010 - 10 - 20 . CS1 maint : Multiple names : authors list ( link ) CS1 maint : Extra text : authors list ( link ) Ricardo Hausmann , Laura D. Tyson , Saadia Zahidi , Editors ( 2009 ) . The Global Gender Gap Report 2009 ( PDF ) . World Economic Forum , Geneva , Switzerland . Archived from the original ( PDF ) on 2013 - 04 - 05 . Retrieved 2009 - 11 - 02 . CS1 maint : Multiple names : authors list ( link ) CS1 maint : Extra text : authors list ( link ) Ricardo Hausmann , Laura D. Tyson , Saadia Zahidi , Editors ( 2008 ) . The Global Gender Gap Report 2008 ( PDF ) . World Economic Forum , Geneva , Switzerland . Retrieved 2008 - 11 - 19 . CS1 maint : Multiple names : authors list ( link ) CS1 maint : Extra text : authors list ( link ) Ricardo Hausmann , Laura D. Tyson , Saadia Zahidi , Editors ( 2007 ) . The Global Gender Gap Report 2007 ( PDF ) . World Economic Forum , Geneva , Switzerland . Retrieved 2008 - 11 - 19 . CS1 maint : Multiple names : authors list ( link ) CS1 maint : Extra text : authors list ( link ) Ricardo Hausmann , Laura D. Tyson , Saadia Zahidi , Editors ( 2006 ) . The Global Gender Gap Report 2006 ( PDF ) . World Economic Forum , Geneva , Switzerland . Retrieved 2008 - 11 - 19 . 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