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 2016 report covers 144 major and emerging economies. The Global Gender Gap Index is an index designed to measure gender equality. Contents 1 Methodology 2 WEF Global Gender Gap Index rankings 3 See also 4 Controversies 5 Notes 6 References 7 External links 7.1 Reports Methodology 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. 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 less 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, 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 The highest possible score is 1 ( equality or better for women, except for lifespan, 106 % 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 2016 Country Region Year 2006 2007 2008 2009 2011 2012 2013 2014 2015 2016 Albania Europe 0.6607 0.6685 0.6591 0.6601 0.6726 0.6748 0.6655 0.6412 0.6869 0.701 0.704 Algeria Africa 0.6018 0.6068 0.6111 0.6119 0.6052 0.5991 0.6112 0.5966 0.6182 0.632 0.642 Angola Africa 0.6039 0.6034 0.6032 0.6353 0.6712 0.6624 N / A 0.6659 0.6311 0.637 0.643 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 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 Australia Oceania 0.7163 0.7204 0.7241 0.7282 0.7271 0.7291 0.7294 0.7390 0.7409 0.733 0.721 Austria Europe 0.6986 0.7060 0.7153 0.7031 0.7091 0.7165 0.7391 0.7437 0.7266 0.733 0.716 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 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 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 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 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 Belarus Europe N / A N / A N / A N / A N / A N / A N / A N / A N / A 0.734 0.737 Belgium Europe 0.7078 0.7198 0.7163 0.7165 0.7509 0.7531 0.7652 0.7684 0.7809 0.753 0.745 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 Benin Africa 0.5780 0.5656 0.5582 0.5643 0.5719 0.5832 0.6258 0.5885 N / A 0.625 0.636 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 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 Botswana Africa 0.6897 0.6797 0.6839 0.7071 0.6876 0.6832 0.6744 0.6752 0.7129 0.710 0.715 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 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 Bulgaria Europe 0.6870 0.7085 0.7077 0.7072 0.6983 0.6987 0.7021 0.7097 0.7444 0.722 0.726 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 Burundi Africa N / A N / A N / A N / A N / A 0.7270 0.7338 0.7397 0.7565 0.748 0.768 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 Cameroon Africa 0.5865 0.5919 0.6017 0.6108 0.6110 0.6073 0.6291 0.6560 N / A 0.682 0.684 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 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 Chad Africa 0.5247 0.5381 0.5290 0.5417 0.5330 0.5334 0.5594 0.5588 0.5764 0.580 0.587 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 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 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 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 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 Croatia Europe 0.7145 0.7210 0.6967 0.6944 0.6939 0.7006 0.7053 0.7069 0.7075 0.708 0.7 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 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 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 Denmark Europe 0.7462 0.7519 0.7538 0.7628 0.7719 0.7778 0.7777 0.7779 0.8025 0.767 0.754 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 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 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 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 Estonia Europe 0.6944 0.7008 0.7076 0.7094 0.7018 0.6983 0.6977 0.6997 0.7017 0.749 0.747 Ethiopia Africa 0.5946 0.5991 0.5867 0.5948 0.6019 0.6136 0.6200 0.6198 0.6144 0.640 0.662 Fiji Oceania N / A N / A N / A 0.6414 0.6256 0.6255 0.6285 0.6286 0.6286 0.645 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 France Europe 0.6520 0.6824 0.7341 0.7331 0.7025 0.7018 0.6984 0.7089 0.7588 0.761 0.755 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 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 Germany Europe 0.7524 0.7618 0.7394 0.7449 0.7530 0.7590 0.7629 0.7583 0.7780 0.779 0.766 Ghana Africa 0.6653 0.6725 0.6679 0.6704 0.6782 0.6811 0.6778 0.6811 0.6661 0.704 0.705 Greece Europe 0.6540 0.6648 0.6727 0.6662 0.6908 0.6916 0.6716 0.6782 0.6784 0.685 0.68 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 Guinea Africa N / A N / A N / A N / A N / A N / A N / A N / A N / A 0.618 0.64 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 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 Hungary Europe 0.6698 0.6731 0.6867 0.6879 0.6720 0.6642 0.6718 0.6742 0.6759 0.672 0.669 Iceland Europe 0.7813 0.7836 0.7999 0.8276 0.8496 0.8530 0.8640 0.8731 0.8594 0.881 0.874 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 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 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 Ireland Europe 0.7335 0.7457 0.7518 0.7597 0.7773 0.7830 0.7839 0.7823 0.7850 0.807 0.797 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 Italy Europe 0.6456 0.6498 0.6788 0.6798 0.6765 0.6796 0.6729 0.6885 0.6973 0.726 0.719 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 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 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 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 Kenya Africa 0.6486 0.6508 0.6547 0.6512 0.6499 0.6493 0.6768 0.6803 0.7258 0.719 0.702 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 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 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 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 Latvia Europe 0.7091 0.7333 0.7397 0.7416 0.7429 0.7399 0.7572 0.7610 0.7691 0.752 0.755 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 Lesotho Africa 0.6807 0.7078 0.7320 0.7495 0.7678 0.7666 0.7608 0.7530 0.7255 0.706 0.706 Liberia Africa N / A N / A N / A N / A N / A N / A N / A N / A N / A 0.652 0.652 Lithuania Europe 0.7077 0.7234 0.7222 0.7175 0.7132 0.7131 0.7191 0.7308 0.7208 0.740 0.744 Luxembourg Europe 0.6671 0.6786 0.6802 0.6889 0.7231 0.7216 0.7439 0.7410 0.7333 0.738 0.734 Macedonia Europe 0.6983 0.6967 0.6914 0.6950 0.6996 0.6966 0.6968 0.7013 0.6943 0.701 0.696 Madagascar Africa 0.6385 0.6461 0.6736 0.6732 0.6713 0.6797 0.6982 0.7016 0.7214 0.698 0.704 Malawi Africa 0.6437 0.6480 0.6664 0.6738 0.6824 0.6850 0.7166 0.7139 0.7281 0.701 0.7 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 Maldives South Asia N / A 0.6350 0.6501 0.6482 0.6452 0.6480 0.6616 0.6604 0.6557 0.652. 65 Mali Africa 0.5996 0.6019 0.6117 0.5860 0.5680 0.5752 0.5842 0.5872 0.5779 0.599 0.591 Malta Europe 0.6518 0.6615 0.6634 0.6635 0.6695 0.6658 0.6666 0.6761 0.6707 0.668 0.664 Mauritania Africa 0.5835 0.6022 0.6117 0.6103 0.6152 0.6164 0.6129 0.5810 0.6029 0.613 0.624 Mauritius Africa 0.6328 0.6487 0.6466 0.6513 0.6520 0.6529 0.6547 0.6599 0.6541 0.646 0.652 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 Moldova Europe 0.7128 0.7172 0.7244 0.7104 0.7160 0.7083 0.7101 0.7037 0.7405 0.742 0.741 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 Montenegro Europe N / A N / A N / A N / A N / A N / A N / A N / A N / A 0.689 0.681 Morocco Africa 0.5827 0.5676 0.5757 0.5926 0.5767 0.5804 0.5833 0.5845 0.5988 0.593 0.597 Mozambique Africa N / A 0.6883 0.7266 0.7195 0.7329 0.7251 0.7350 0.7349 0.7370 0.741 0.75 Namibia Africa 0.6864 0.7012 0.7141 0.7167 0.7238 0.7177 0.7121 0.7094 0.7219 0.760 0.765 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 Netherlands Europe 0.7250 0.7383 0.7399 0.7490 0.7444 0.7470 0.7659 0.7608 0.7730 0.776 0.756 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 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 Nigeria Africa 0.6104 0.6122 0.6339 0.6280 0.6055 0.6011 0.6315 0.6469 0.6391 0.638 0.643 Norway Europe 0.7994 0.8059 0.8239 0.8227 0.8404 0.8404 0.8403 0.8417 0.8374 0.850 0.842 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 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 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 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 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 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 Poland Europe 0.6802 0.6756 0.6951 0.6998 0.7037 0.7038 0.7015 0.7031 0.7051 0.715 0.727 Portugal Europe 0.6922 0.6959 0.7051 0.7013 0.7171 0.7144 0.7071 0.7056 0.7243 0.731 0.737 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 Romania Europe 0.6797 0.6859 0.6763 0.6805 0.6826 0.6812 0.6859 0.6908 0.6936 0.693 0.69 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 Rwanda Africa N / A N / A N / A N / A N / A N / A N / A N / A N / A 0.794 0.8 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 Senegal Africa N / A N / A N / A 0.6427 0.6414 0.6573 0.6657 0.6923 0.6912 0.698 0.685 Serbia Europe N / A N / A N / A N / A N / A N / A 0.7037 0.7116 0.7086 0.720 0.72 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 Slovak Republic Europe 0.6757 0.6797 0.6824 0.6845 0.6778 0.6797 0.6824 0.6857 0.6806 0.675 0.679 Slovenia Europe 0.6745 0.6842 0.6937 0.6982 0.7047 0.7041 0.7132 0.7155 0.7443 0.784 0.786 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 Spain Europe 0.7319 0.7444 0.7281 0.7345 0.7554 0.7580 0.7266 0.7266 0.7325 0.742 0.738 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 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 Swaziland Africa N / A N / A N / A N / A N / A N / A N / A N / A N / A 0.670 0.665 Sweden Europe 0.8133 0.8146 0.8139 0.8139 0.8024 0.8044 0.8159 0.8129 0.8165 0.823 0.815 Switzerland Europe 0.6997 0.6924 0.7360 0.7426 0.7562 0.7627 0.7672 0.7736 0.7798 0.785 0.776 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 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 Tanzania Africa 0.7038 0.6969 0.7068 0.6797 0.6829 0.6904 0.7091 0.6928 0.7182 0.718 0.716 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 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 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 Tunisia Africa 0.6288 0.6283 0.6295 0.6233 0.6266 0.6255 N / A N / A 0.6272 0.634 0.636 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 Uganda Africa 0.6797 0.6833 0.6981 0.7067 0.7169 0.7220 0.7228 0.7086 0.6821 0.708 0.704 Ukraine Europe 0.6797 0.6790 0.6856 0.6896 0.6869 0.6861 0.6894 0.6935 0.7056 0.702 0.7 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 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 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 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 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 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 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 Zambia Africa 0.6360 0.6288 0.6205 0.6310 0.6293 0.6300 0.6279 0.6312 0.6364 0.650 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 See also 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 Controversies 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 S. 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. It is important to understand that 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. Notes Jump up ^ Years of report publication. Values may reflect data collected the previous year. References 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 ^ 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 2016 - Rankings ''. World Economic Forum. Retrieved 16 February 2016. 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 `` Women Leaders and Gender Parity ''. World Economic Forum. Geneva, Switzerland. Retrieved 2008 - 11 - 19. Daily chart : Sex and equality, The Economist, Oct 25th 2013 Reports 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. 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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Question: who gives global gender gap index ranking to the countries of the world
Answer: World Economic Forum