Global Gender Gap 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.
Methodology
The report’s Gender Gap Index ranks countries according to calculated gender gaps. The assumption is that women are strictly disadvantaged compared to men and as such, only measures where women are traditionally disadvantaged to men are used. Information about gender imbalances to the advantage of women is explicitly prevented from affecting the score.[1] 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.
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.[2] "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."[2]
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.[3]
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.[4]
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.[5][6][7]
Country | Region | Year[note 1] | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015[9] | ||
Albania | Europe | 0.6607 | 0.6685 | 0.6591 | 0.6601 | 0.6726 | 0.6748 | 0.6655 | 0.6412 | 0.6869 | 0.701 |
Algeria | Africa | 0.6018 | 0.6068 | 0.6111 | 0.6119 | 0.6052 | 0.5991 | 0.6112 | 0.5966 | 0.6182 | 0.632 |
Angola | Africa | 0.6039 | 0.6034 | 0.6032 | 0.6353 | 0.6712 | 0.6624 | N/A | 0.6659 | 0.6311 | 0.637 |
Argentina | South America | 0.6829 | 0.6982 | 0.7209 | 0.7211 | 0.7187 | 0.7236 | 0.7212 | 0.7195 | 0.7317 | 0.734 |
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 |
Australia | Oceania | 0.7163 | 0.7204 | 0.7241 | 0.7282 | 0.7271 | 0.7291 | 0.7294 | 0.7390 | 0.7409 | 0.733 |
Austria | Europe | 0.6986 | 0.7060 | 0.7153 | 0.7031 | 0.7091 | 0.7165 | 0.7391 | 0.7437 | 0.7266 | 0.733 |
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 |
Bahamas | North America | N/A | N/A | N/A | 0.7179 | 0.7128 | 0.7340 | 0.7156 | 0.7128 | 0.7269 | 0.728 |
Bahrain | Middle East | 0.5894 | 0.5931 | 0.5927 | 0.6136 | 0.6217 | 0.6232 | 0.6298 | 0.6334 | 0.6261 | 0.644 |
Bangladesh | South Asia | 0.6270 | 0.6314 | 0.6531 | 0.6526 | 0.6702 | 0.6812 | 0.6684 | 0.6848 | 0.6973 | 0.704 |
Barbados | North America | N/A | N/A | 0.7188 | 0.7236 | 0.7176 | 0.7170 | 0.7232 | 0.7301 | 0.7289 | 0.744 |
Belarus | Europe | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | 0.734 |
Belgium | Europe | 0.7078 | 0.7198 | 0.7163 | 0.7165 | 0.7509 | 0.7531 | 0.7652 | 0.7684 | 0.7809 | 0.753 |
Belize | North America | N/A | 0.6426 | 0.6610 | 0.6636 | 0.6536 | 0.6489 | 0.6465 | 0.6449 | 0.6701 | 0.668 |
Benin | Africa | 0.5780 | 0.5656 | 0.5582 | 0.5643 | 0.5719 | 0.5832 | 0.6258 | 0.5885 | N/A | 0.625 |
Bhutan | South Asia | N/A | N/A | N/A | N/A | N/A | N/A | N/A | 0.6651 | 0.6364 | 0.646 |
Bolivia | South America | 0.6335 | 0.6574 | 0.6667 | 0.6693 | 0.6751 | 0.6862 | 0.7222 | 0.7340 | 0.7049 | 0.749 |
Botswana | Africa | 0.6897 | 0.6797 | 0.6839 | 0.7071 | 0.6876 | 0.6832 | 0.6744 | 0.6752 | 0.7129 | 0.710 |
Brazil | South America | 0.6543 | 0.6637 | 0.6737 | 0.6695 | 0.6655 | 0.6679 | 0.6909 | 0.6949 | 0.6941 | 0.686 |
Brunei Darussalam | Southeast Asia | N/A | N/A | 0.6392 | 0.6524 | 0.6748 | 0.6787 | 0.6750 | 0.6730 | 0.6719 | 0.684 |
Bulgaria | Europe | 0.6870 | 0.7085 | 0.7077 | 0.7072 | 0.6983 | 0.6987 | 0.7021 | 0.7097 | 0.7444 | 0.722 |
Burkina Faso | Africa | 0.5854 | 0.5912 | 0.6029 | 0.6081 | 0.6162 | 0.6153 | 0.6455 | 0.6513 | 0.6500 | 0.651 |
Burundi | Africa | N/A | N/A | N/A | N/A | N/A | 0.7270 | 0.7338 | 0.7397 | 0.7565 | 0.748 |
Cambodia | Southeast Asia | 0.6291 | 0.6353 | 0.6469 | 0.6410 | 0.6482 | 0.6464 | 0.6457 | 0.6509 | 0.6520 | 0.622 |
Cameroon | Africa | 0.5865 | 0.5919 | 0.6017 | 0.6108 | 0.6110 | 0.6073 | 0.6291 | 0.6560 | N/A | 0.682 |
Canada | North America | 0.7165 | 0.7198 | 0.7136 | 0.7196 | 0.7372 | 0.7407 | 0.7381 | 0.7425 | 0.7464 | 0.740 |
Cape Verde | Africa | N/A | N/A | N/A | N/A | N/A | N/A | 0.7180 | 0.7122 | 0.7133 | 0.717 |
Chad | Africa | 0.5247 | 0.5381 | 0.5290 | 0.5417 | 0.5330 | 0.5334 | 0.5594 | 0.5588 | 0.5764 | 0.580 |
Chile | South America | 0.6455 | 0.6482 | 0.6818 | 0.6884 | 0.7013 | 0.7030 | 0.6676 | 0.6670 | 0.6975 | 0.698 |
China | East Asia | 0.6561 | 0.6643 | 0.6878 | 0.6907 | 0.6881 | 0.6866 | 0.6853 | 0.6908 | 0.6830 | 0.682 |
Colombia | South America | 0.7049 | 0.7090 | 0.6944 | 0.6939 | 0.6927 | 0.6714 | 0.6901 | 0.7171 | 0.7122 | 0.725 |
Costa Rica | North America | 0.6936 | 0.7014 | 0.7111 | 0.7180 | 0.7194 | 0.7266 | 0.7225 | 0.7241 | 0.7165 | 0.732 |
Côte d'Ivoire | Africa | N/A | N/A | N/A | N/A | 0.5691 | 0.5773 | 0.5785 | 0.5814 | 0.5874 | 0.606 |
Croatia | Europe | 0.7145 | 0.7210 | 0.6967 | 0.6944 | 0.6939 | 0.7006 | 0.7053 | 0.7069 | 0.7075 | 0.708 |
Cuba | North America | N/A | 0.7169 | 0.7195 | 0.7176 | 0.7253 | 0.7394 | 0.7417 | 0.7540 | 0.7317 | 0.640 |
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 |
Czech Republic | Europe | 0.6712 | 0.6718 | 0.6770 | 0.6789 | 0.6850 | 0.6789 | 0.6767 | 0.6770 | 0.6737 | 0.687 |
Denmark | Europe | 0.7462 | 0.7519 | 0.7538 | 0.7628 | 0.7719 | 0.7778 | 0.7777 | 0.7779 | 0.8025 | 0.767 |
Dominican Republic | North America | 0.6639 | 0.6705 | 0.6744 | 0.6859 | 0.6774 | 0.6682 | 0.6659 | 0.6867 | 0.6906 | 0.686 |
Ecuador | South America | 0.6433 | 0.6881 | 0.7091 | 0.7220 | 0.7072 | 0.7035 | 0.7206 | 0.7389 | 0.7455 | 0.738 |
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 |
El Salvador | North America | 0.6837 | 0.6853 | 0.6875 | 0.6939 | 0.6596 | 0.6567 | 0.6630 | 0.6609 | 0.6863 | 0.706 |
Estonia | Europe | 0.6944 | 0.7008 | 0.7076 | 0.7094 | 0.7018 | 0.6983 | 0.6977 | 0.6997 | 0.7017 | 0.749 |
Ethiopia | Africa | 0.5946 | 0.5991 | 0.5867 | 0.5948 | 0.6019 | 0.6136 | 0.6200 | 0.6198 | 0.6144 | 0.640 |
Fiji | Oceania | N/A | N/A | N/A | 0.6414 | 0.6256 | 0.6255 | 0.6285 | 0.6286 | 0.6286 | 0.645 |
Finland | Europe | 0.7958 | 0.8044 | 0.8195 | 0.8252 | 0.8260 | 0.8383 | 0.8451 | 0.8421 | 0.8453 | 0.850 |
France | Europe | 0.6520 | 0.6824 | 0.7341 | 0.7331 | 0.7025 | 0.7018 | 0.6984 | 0.7089 | 0.7588 | 0.761 |
Gambia, The | Africa | 0.6448 | 0.6421 | 0.6622 | 0.6752 | 0.6762 | 0.6763 | 0.6630 | N/A | N/A | 0.674 |
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 |
Germany | Europe | 0.7524 | 0.7618 | 0.7394 | 0.7449 | 0.7530 | 0.7590 | 0.7629 | 0.7583 | 0.7780 | 0.779 |
Ghana | Africa | 0.6653 | 0.6725 | 0.6679 | 0.6704 | 0.6782 | 0.6811 | 0.6778 | 0.6811 | 0.6661 | 0.704 |
Greece | Europe | 0.6540 | 0.6648 | 0.6727 | 0.6662 | 0.6908 | 0.6916 | 0.6716 | 0.6782 | 0.6784 | 0.685 |
Guatemala | North America | 0.6067 | 0.6144 | 0.6072 | 0.6209 | 0.6238 | 0.6229 | 0.6260 | 0.6304 | 0.6821 | 0.667 |
Guinea | Africa | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | 0.618 |
Guyana | South America | N/A | N/A | N/A | 0.7108 | 0.7090 | 0.7084 | 0.7119 | 0.7085 | 0.7010 | 0.702 |
Honduras | North America | 0.6483 | 0.6661 | 0.6960 | 0.6893 | 0.6927 | 0.6945 | 0.6763 | 0.6773 | 0.6935 | 0.688 |
Hungary | Europe | 0.6698 | 0.6731 | 0.6867 | 0.6879 | 0.6720 | 0.6642 | 0.6718 | 0.6742 | 0.6759 | 0.672 |
Iceland | Europe | 0.7813 | 0.7836 | 0.7999 | 0.8276 | 0.8496 | 0.8530 | 0.8640 | 0.8731 | 0.8594 | 0.881 |
India | South Asia | 0.6011 | 0.5936 | 0.6060 | 0.6151 | 0.6155 | 0.6190 | 0.6442 | 0.6551 | 0.6455 | 0.664 |
Indonesia | Southeast Asia | 0.6541 | 0.6550 | 0.6473 | 0.6580 | 0.6615 | 0.6594 | 0.6591 | 0.6613 | 0.6725 | 0.681 |
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 |
Ireland | Europe | 0.7335 | 0.7457 | 0.7518 | 0.7597 | 0.7773 | 0.7830 | 0.7839 | 0.7823 | 0.7850 | 0.807 |
Israel | Middle East | 0.6889 | 0.6965 | 0.6900 | 0.7019 | 0.6957 | 0.6926 | 0.6989 | 0.7032 | 0.7005 | 0.712 |
Italy | Europe | 0.6456 | 0.6498 | 0.6788 | 0.6798 | 0.6765 | 0.6796 | 0.6729 | 0.6885 | 0.6973 | 0.726 |
Jamaica | North America | 0.7014 | 0.6925 | 0.6980 | 0.7013 | 0.7037 | 0.7028 | 0.7035 | 0.7085 | 0.7128 | 0.703 |
Japan | East Asia | 0.6447 | 0.6455 | 0.6434 | 0.6447 | 0.6524 | 0.6514 | 0.6530 | 0.6498 | 0.6584 | 0.670 |
Jordan | Middle East | 0.6109 | 0.6203 | 0.6275 | 0.6182 | 0.6048 | 0.6117 | 0.6103 | 0.6093 | 0.5968 | 0.593 |
Kazakhstan | Central Asia | 0.6928 | 0.6983 | 0.6976 | 0.7013 | 0.7055 | 0.7010 | 0.7213 | 0.7218 | 0.7210 | 0.719 |
Kenya | Africa | 0.6486 | 0.6508 | 0.6547 | 0.6512 | 0.6499 | 0.6493 | 0.6768 | 0.6803 | 0.7258 | 0.719 |
Korea, Rep. | East Asia | 0.6157 | 0.6409 | 0.6154 | 0.6146 | 0.6342 | 0.6281 | 0.6356 | 0.6351 | 0.6403 | 0.651 |
Kuwait | Middle East | 0.6341 | 0.6409 | 0.6358 | 0.6356 | 0.6318 | 0.6322 | 0.6320 | 0.6292 | 0.6457 | 0.646 |
Kyrgyz Republic | Central Asia | 0.6742 | 0.6653 | 0.7045 | 0.7058 | 0.6973 | 0.7036 | 0.7013 | 0.6948 | 0.6974 | 0.693 |
Laos | Southeast Asia | N/A | N/A | N/A | N/A | N/A | N/A | N/A | 0.6993 | 0.7044 | 0.713 |
Latvia | Europe | 0.7091 | 0.7333 | 0.7397 | 0.7416 | 0.7429 | 0.7399 | 0.7572 | 0.7610 | 0.7691 | 0.752 |
Lebanon | Middle East | N/A | N/A | N/A | N/A | 0.6084 | 0.6083 | 0.6030 | 0.6028 | 0.5923 | 0.598 |
Lesotho | Africa | 0.6807 | 0.7078 | 0.7320 | 0.7495 | 0.7678 | 0.7666 | 0.7608 | 0.7530 | 0.7255 | 0.706 |
Liberia | Africa | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | 0.652 |
Lithuania | Europe | 0.7077 | 0.7234 | 0.7222 | 0.7175 | 0.7132 | 0.7131 | 0.7191 | 0.7308 | 0.7208 | 0.740 |
Luxembourg | Europe | 0.6671 | 0.6786 | 0.6802 | 0.6889 | 0.7231 | 0.7216 | 0.7439 | 0.7410 | 0.7333 | 0.738 |
Macedonia | Europe | 0.6983 | 0.6967 | 0.6914 | 0.6950 | 0.6996 | 0.6966 | 0.6968 | 0.7013 | 0.6943 | 0.701 |
Madagascar | Africa | 0.6385 | 0.6461 | 0.6736 | 0.6732 | 0.6713 | 0.6797 | 0.6982 | 0.7016 | 0.7214 | 0.698 |
Malawi | Africa | 0.6437 | 0.6480 | 0.6664 | 0.6738 | 0.6824 | 0.6850 | 0.7166 | 0.7139 | 0.7281 | 0.701 |
Malaysia | Southeast Asia | 0.6509 | 0.6444 | 0.6442 | 0.6467 | 0.6479 | 0.6525 | 0.6539 | 0.6518 | 0.6520 | 0.655 |
Maldives | South Asia | N/A | 0.6350 | 0.6501 | 0.6482 | 0.6452 | 0.6480 | 0.6616 | 0.6604 | 0.6557 | 0.652 |
Mali | Africa | 0.5996 | 0.6019 | 0.6117 | 0.5860 | 0.5680 | 0.5752 | 0.5842 | 0.5872 | 0.5779 | 0.599 |
Malta | Europe | 0.6518 | 0.6615 | 0.6634 | 0.6635 | 0.6695 | 0.6658 | 0.6666 | 0.6761 | 0.6707 | 0.668 |
Mauritania | Africa | 0.5835 | 0.6022 | 0.6117 | 0.6103 | 0.6152 | 0.6164 | 0.6129 | 0.5810 | 0.6029 | 0.613 |
Mauritius | Africa | 0.6328 | 0.6487 | 0.6466 | 0.6513 | 0.6520 | 0.6529 | 0.6547 | 0.6599 | 0.6541 | 0.646 |
Mexico | North America | 0.6462 | 0.6441 | 0.6441 | 0.6503 | 0.6577 | 0.6604 | 0.6712 | 0.6917 | 0.6900 | 0.699 |
Moldova | Europe | 0.7128 | 0.7172 | 0.7244 | 0.7104 | 0.7160 | 0.7083 | 0.7101 | 0.7037 | 0.7405 | 0.742 |
Mongolia | East Asia | 0.6821 | 0.6731 | 0.7049 | 0.7221 | 0.7194 | 0.7140 | 0.7111 | 0.7204 | 0.7212 | 0.709 |
Montenegro | Europe | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | 0.689 |
Morocco | Africa | 0.5827 | 0.5676 | 0.5757 | 0.5926 | 0.5767 | 0.5804 | 0.5833 | 0.5845 | 0.5988 | 0.593 |
Mozambique | Africa | N/A | 0.6883 | 0.7266 | 0.7195 | 0.7329 | 0.7251 | 0.7350 | 0.7349 | 0.7370 | 0.741 |
Namibia | Africa | 0.6864 | 0.7012 | 0.7141 | 0.7167 | 0.7238 | 0.7177 | 0.7121 | 0.7094 | 0.7219 | 0.760 |
Nepal | South Asia | 0.5478 | 0.5575 | 0.5942 | 0.6213 | 0.6084 | 0.5888 | 0.6026 | 0.6053 | 0.6458 | 0.658 |
Netherlands | Europe | 0.7250 | 0.7383 | 0.7399 | 0.7490 | 0.7444 | 0.7470 | 0.7659 | 0.7608 | 0.7730 | 0.776 |
New Zealand | Oceania | 0.7509 | 0.7649 | 0.7859 | 0.7880 | 0.7808 | 0.7810 | 0.7805 | 0.7799 | 0.7772 | 0.782 |
Nicaragua | North America | 0.6566 | 0.6458 | 0.6747 | 0.7002 | 0.7176 | 0.7245 | 0.7697 | 0.7715 | 0.7894 | 0.776 |
Nigeria | Africa | 0.6104 | 0.6122 | 0.6339 | 0.6280 | 0.6055 | 0.6011 | 0.6315 | 0.6469 | 0.6391 | 0.638 |
Norway | Europe | 0.7994 | 0.8059 | 0.8239 | 0.8227 | 0.8404 | 0.8404 | 0.8403 | 0.8417 | 0.8374 | 0.850 |
Oman | Middle East | N/A | 0.5903 | 0.5960 | 0.5938 | 0.5950 | 0.5873 | 0.5986 | 0.6053 | 0.6091 | 0.604 |
Pakistan | South Asia | 0.5434 | 0.5509 | 0.5549 | 0.5458 | 0.5465 | 0.5583 | 0.5478 | 0.5459 | 0.5522 | 0.559 |
Panama | North America | 0.6935 | 0.6954 | 0.7095 | 0.7024 | 0.7072 | 0.7042 | 0.7122 | 0.7164 | 0.7195 | 0.772 |
Paraguay | South America | 0.6556 | 0.6659 | 0.6379 | 0.6868 | 0.6804 | 0.6818 | 0.6714 | 0.6724 | 0.6890 | 0.666 |
Peru | South America | 0.6619 | 0.6624 | 0.6959 | 0.7024 | 0.6895 | 0.6796 | 0.6742 | 0.6787 | 0.7198 | 0.683 |
Philippines | Southeast Asia | 0.7516 | 0.7629 | 0.7568 | 0.7579 | 0.7654 | 0.7685 | 0.7757 | 0.7832 | 0.7814 | 0.790 |
Poland | Europe | 0.6802 | 0.6756 | 0.6951 | 0.6998 | 0.7037 | 0.7038 | 0.7015 | 0.7031 | 0.7051 | 0.715 |
Portugal | Europe | 0.6922 | 0.6959 | 0.7051 | 0.7013 | 0.7171 | 0.7144 | 0.7071 | 0.7056 | 0.7243 | 0.731 |
Qatar | Middle East | N/A | 0.6041 | 0.5948 | 0.5907 | 0.6059 | 0.6230 | 0.6264 | 0.6299 | 0.6403 | 0.645 |
Romania | Europe | 0.6797 | 0.6859 | 0.6763 | 0.6805 | 0.6826 | 0.6812 | 0.6859 | 0.6908 | 0.6936 | 0.693 |
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 |
Rwanda | Africa | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | 0.794 |
Saudi Arabia | Middle East | 0.5242 | 0.5647 | 0.5537 | 0.5651 | 0.5713 | 0.5753 | 0.5731 | 0.5879 | 0.6059 | 0.605 |
Senegal | Africa | N/A | N/A | N/A | 0.6427 | 0.6414 | 0.6573 | 0.6657 | 0.6923 | 0.6912 | 0.698 |
Serbia | Europe | N/A | N/A | N/A | N/A | N/A | N/A | 0.7037 | 0.7116 | 0.7086 | 0.720 |
Singapore | Southeast Asia | 0.6550 | 0.6609 | 0.6625 | 0.6664 | 0.6914 | 0.6914 | 0.6989 | 0.7000 | 0.7046 | 0.711 |
Slovak Republic | Europe | 0.6757 | 0.6797 | 0.6824 | 0.6845 | 0.6778 | 0.6797 | 0.6824 | 0.6857 | 0.6806 | 0.675 |
Slovenia | Europe | 0.6745 | 0.6842 | 0.6937 | 0.6982 | 0.7047 | 0.7041 | 0.7132 | 0.7155 | 0.7443 | 0.784 |
South Africa | Africa | 0.7125 | 0.7194 | 0.7232 | 0.7709 | 0.7535 | 0.7478 | 0.7496 | 0.7510 | 0.7527 | 0.759 |
Spain | Europe | 0.7319 | 0.7444 | 0.7281 | 0.7345 | 0.7554 | 0.7580 | 0.7266 | 0.7266 | 0.7325 | 0.742 |
Sri Lanka | South Asia | 0.7199 | 0.7230 | 0.7371 | 0.7402 | 0.7458 | 0.7212 | 0.7122 | 0.7019 | 0.6903 | 0.686 |
Suriname | South America | N/A | 0.6794 | 0.6674 | 0.6726 | 0.6407 | 0.6395 | 0.6409 | 0.6369 | 0.6504 | 0.670 |
Swaziland | Africa | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | 0.670 |
Sweden | Europe | 0.8133 | 0.8146 | 0.8139 | 0.8139 | 0.8024 | 0.8044 | 0.8159 | 0.8129 | 0.8165 | 0.823 |
Switzerland | Europe | 0.6997 | 0.6924 | 0.7360 | 0.7426 | 0.7562 | 0.7627 | 0.7672 | 0.7736 | 0.7798 | 0.785 |
Syria | Middle East | N/A | 0.6216 | 0.6181 | 0.6072 | 0.5926 | 0.5896 | 0.5626 | 0.5661 | 0.5775 | 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 |
Tanzania | Africa | 0.7038 | 0.6969 | 0.7068 | 0.6797 | 0.6829 | 0.6904 | 0.7091 | 0.6928 | 0.7182 | 0.718 |
Thailand | Southeast Asia | 0.6831 | 0.6815 | 0.6917 | 0.6907 | 0.6910 | 0.6892 | 0.6893 | 0.6928 | 0.7027 | 0.706 |
Timor-Leste | Southeast Asia | N/A | N/A | N/A | N/A | N/A | N/A | 0.6855 | N/A | N/A | N/A |
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 |
Tunisia | Africa | 0.6288 | 0.6283 | 0.6295 | 0.6233 | 0.6266 | 0.6255 | N/A | N/A | 0.6272 | 0.634 |
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 |
Uganda | Africa | 0.6797 | 0.6833 | 0.6981 | 0.7067 | 0.7169 | 0.7220 | 0.7228 | 0.7086 | 0.6821 | 0.708 |
Ukraine | Europe | 0.6797 | 0.6790 | 0.6856 | 0.6896 | 0.6869 | 0.6861 | 0.6894 | 0.6935 | 0.7056 | 0.702 |
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 |
United Kingdom | Europe | 0.7365 | 0.7441 | 0.7366 | 0.7402 | 0.7460 | 0.7462 | 0.7433 | 0.7440 | 0.7383 | 0.758 |
United States | North America | 0.7042 | 0.7002 | 0.7179 | 0.7173 | 0.7411 | 0.7412 | 0.7373 | 0.7392 | 0.7463 | 0.740 |
Uruguay | South America | 0.6549 | 0.6608 | 0.6907 | 0.6936 | 0.6897 | 0.6907 | 0.6745 | 0.6803 | 0.6871 | 0.679 |
Venezuela | South America | 0.6664 | 0.6797 | 0.6875 | 0.6839 | 0.6863 | 0.6861 | 0.7060 | 0.7060 | 0.6851 | 0.691 |
Vietnam | Southeast Asia | N/A | 0.6889 | 0.6778 | 0.6802 | 0.6776 | 0.6732 | 0.6867 | 0.6863 | 0.6915 | 0.687 |
Yemen | Middle East | 0.4595 | 0.4510 | 0.4664 | 0.4609 | 0.4603 | 0.4873 | 0.5054 | 0.5128 | 0.5145 | 0.484 |
Zambia | Africa | 0.6360 | 0.6288 | 0.6205 | 0.6310 | 0.6293 | 0.6300 | 0.6279 | 0.6312 | 0.6364 | 0.650 |
Zimbabwe | Africa | 0.6461 | 0.6464 | 0.6485 | 0.6518 | 0.6574 | 0.6607 | N/A | N/A | 0.7013 | 0.709 |
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
Notes
- ^ Years of report publication. Values may reflect data collected the previous year.
References
- ^ 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
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- ^ 2014 report, page 5
- ^ 2008 Report, p. 5
- ^ http://www3.weforum.org/docs/WEF_GenderGap_Report_2012.pdf
- ^ "The Global Gender Gap Report 2013" (PDF). World Economic Forum. pp. 12–13.
- ^ "Global Gender Gap Report 2014 - Reports - World Economic Forum". Global Gender Gap Report 2014.
- ^ http://www3.weforum.org/docs/GGGR2015/cover.pdf
- ^ "Global Gender Gap Report 2015 - Rankings". World Economic Forum. Archived from the original on 17 April 2016. Retrieved 28 April 2016.
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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.
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- 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.
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