Global Gender Gap Report
The Global Gender Gap Report was first published in 2006 by the World Economic Forum. The 2012 report covers 135 major and emerging economies (navigate a map of the Global Gender Gap index).
The Report’s Gender Gap Index ranks countries according to their gender gaps and their scores can be interpreted as the percentage of the inequality between women and men that has been closed. Information about gender imbalances to the advantage of women is explicitly prevented from affecting the score.[1] 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[2] 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.” [3]
The Report examines four critical areas of inequality between men and women in 130 economies around the globe, over 93% of the world’s population:
- 1. Economic participation and opportunity – outcomes on salaries, participation levels and access to high-skilled employment
- 2. Educational attainment – outcomes on access to basic and higher level education
- 3. Political empowerment – outcomes on representation in decision-making structures
- 4. Health and survival – outcomes on life expectancy and sex ratio
Thirteen out of the 14 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]
Contents |
Global Gender Gap Index rankings [edit]
The table is initially sorted according to the 2012 ranking. The highest possible score is 1 (equality) and the lowest possible score is 0 (inequality). Data for some countries is unavailable.[5]
| 2012 Rank | Country | Region | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Europe | 0.7813 | 0.7836 | 0.7999 | 0.8276 | 0.8496 | 0.8530 | 0.8640 | |
| 2 | Europe | 0.7958 | 0.8044 | 0.8195 | 0.8252 | 0.8260 | 0.8383 | 0.8451 | |
| 3 | Europe | 0.7994 | 0.8059 | 0.8239 | 0.8227 | 0.8404 | 0.8404 | 0.8403 | |
| 4 | Europe | 0.8133 | 0.8146 | 0.8139 | 0.8139 | 0.8024 | 0.8044 | 0.8159 | |
| 5 | Europe | 0.7335 | 0.7457 | 0.7518 | 0.7597 | 0.7773 | 0.7830 | 0.7839 | |
| 6 | Oceania | 0.7509 | 0.7649 | 0.7859 | 0.7880 | 0.7808 | 0.7810 | 0.7805 | |
| 7 | Europe | 0.7462 | 0.7519 | 0.7538 | 0.7628 | 0.7719 | 0.7778 | 0.7777 | |
| 8 | Southeast Asia | 0.7516 | 0.7629 | 0.7568 | 0.7579 | 0.7654 | 0.7685 | 0.7757 | |
| 9 | North America | 0.6566 | 0.6458 | 0.6747 | 0.7002 | 0.7176 | 0.7245 | 0.7697 | |
| 10 | Europe | 0.6997 | 0.6924 | 0.7360 | 0.7426 | 0.7562 | 0.7627 | 0.7672 | |
| 11 | Europe | 0.7250 | 0.7383 | 0.7399 | 0.7490 | 0.7444 | 0.7470 | 0.7659 | |
| 12 | Europe | 0.7078 | 0.7198 | 0.7163 | 0.7165 | 0.7509 | 0.7531 | 0.7652 | |
| 13 | Europe | 0.7524 | 0.7618 | 0.7394 | 0.7449 | 0.7530 | 0.7590 | 0.7629 | |
| 14 | Africa | 0.6807 | 0.7078 | 0.7320 | 0.7495 | 0.7678 | 0.7666 | 0.7608 | |
| 15 | Europe | 0.7091 | 0.7333 | 0.7397 | 0.7416 | 0.7429 | 0.7399 | 0.7572 | |
| 16 | Africa | 0.7125 | 0.7194 | 0.7232 | 0.7709 | 0.7535 | 0.7478 | 0.7496 | |
| 17 | Europe | 0.6671 | 0.6786 | 0.6802 | 0.6889 | 0.7231 | 0.7216 | 0.7439 | |
| 18 | Europe | 0.7365 | 0.7441 | 0.7366 | 0.7402 | 0.7460 | 0.7462 | 0.7433 | |
| 19 | North America | N/A | 0.7169 | 0.7195 | 0.7176 | 0.7253 | 0.7394 | 0.7417 | |
| 20 | Europe | 0.6986 | 0.7060 | 0.7153 | 0.7031 | 0.7091 | 0.7165 | 0.7391 | |
| 21 | North America | 0.7165 | 0.7198 | 0.7136 | 0.7196 | 0.7372 | 0.7407 | 0.7381 | |
| 22 | North America | 0.7042 | 0.7002 | 0.7179 | 0.7173 | 0.7411 | 0.7412 | 0.7373 | |
| 23 | Africa | N/A | 0.6883 | 0.7266 | 0.7195 | 0.7329 | 0.7251 | 0.7350 | |
| 24 | Africa | N/A | N/A | N/A | N/A | N/A | 0.7270 | 0.7338 | |
| 25 | Oceania | 0.7163 | 0.7204 | 0.7241 | 0.7282 | 0.7271 | 0.7291 | 0.7294 | |
| 26 | Europe | 0.7319 | 0.7444 | 0.7281 | 0.7345 | 0.7554 | 0.7580 | 0.7266 | |
| 27 | North America | N/A | N/A | 0.7188 | 0.7236 | 0.7176 | 0.7170 | 0.7232 | |
| 28 | Africa | 0.6797 | 0.6833 | 0.6981 | 0.7067 | 0.7169 | 0.7220 | 0.7228 | |
| 29 | North America | 0.6936 | 0.7014 | 0.7111 | 0.7180 | 0.7194 | 0.7266 | 0.7225 | |
| 30 | South America | 0.6335 | 0.6574 | 0.6667 | 0.6693 | 0.6751 | 0.6862 | 0.7222 | |
| 31 | Central Asia | 0.6928 | 0.6983 | 0.6976 | 0.7013 | 0.7055 | 0.7010 | 0.7213 | |
| 32 | South America | 0.6829 | 0.6982 | 0.7209 | 0.7211 | 0.7187 | 0.7236 | 0.7212 | |
| 33 | South America | 0.6433 | 0.6881 | 0.7091 | 0.7220 | 0.7072 | 0.7035 | 0.7206 | |
| 34 | Europe and Central Asia | 0.7077 | 0.7234 | 0.7222 | 0.7175 | 0.7132 | 0.7131 | 0.7191 | |
| 35 | Africa | N/A | N/A | N/A | N/A | N/A | N/A | 0.7180 | |
| 36 | Africa | 0.6437 | 0.6480 | 0.6664 | 0.6738 | 0.6824 | 0.6850 | 0.7166 | |
| 37 | North America | N/A | N/A | N/A | 0.7179 | 0.7128 | 0.7340 | 0.7156 | |
| 38 | Europe and Central Asia | 0.6745 | 0.6842 | 0.6937 | 0.6982 | 0.7047 | 0.7041 | 0.7132 | |
| 39 | South Asia | 0.7199 | 0.7230 | 0.7371 | 0.7402 | 0.7458 | 0.7212 | 0.7122 | |
| 40 | North America | 0.6935 | 0.6954 | 0.7095 | 0.7024 | 0.7072 | 0.7042 | 0.7122 | |
| 41 | Africa | 0.6864 | 0.7012 | 0.7141 | 0.7167 | 0.7238 | 0.7177 | 0.7121 | |
| 42 | South America | N/A | N/A | N/A | 0.7108 | 0.7090 | 0.7084 | 0.7119 | |
| 43 | North America | 0.6797 | 0.6859 | 0.7245 | 0.7298 | 0.7353 | 0.7372 | 0.7116 | |
| 44 | East Asia | 0.6821 | 0.6731 | 0.7049 | 0.7221 | 0.7194 | 0.7140 | 0.7111 | |
| 45 | Europe | 0.7128 | 0.7172 | 0.7244 | 0.7104 | 0.7160 | 0.7083 | 0.7101 | |
| 46 | Africa | 0.7038 | 0.6969 | 0.7068 | 0.6797 | 0.6829 | 0.6904 | 0.7091 | |
| 47 | Europe | 0.6922 | 0.6959 | 0.7051 | 0.7013 | 0.7171 | 0.7144 | 0.7071 | |
| 48 | South America | 0.6664 | 0.6797 | 0.6875 | 0.6839 | 0.6863 | 0.6861 | 0.7060 | |
| 49 | Europe | 0.7145 | 0.7210 | 0.6967 | 0.6944 | 0.6939 | 0.7006 | 0.7053 | |
| 50 | Europe | N/A | N/A | N/A | N/A | N/A | N/A | 0.7037 | |
| 51 | North America | 0.7014 | 0.6925 | 0.6980 | 0.7013 | 0.7037 | 0.7028 | 0.7035 | |
| 52 | Europe | 0.6870 | 0.7085 | 0.7077 | 0.7072 | 0.6983 | 0.6987 | 0.7021 | |
| 53 | Europe | 0.6802 | 0.6756 | 0.6951 | 0.6998 | 0.7037 | 0.7038 | 0.7015 | |
| 54 | Central Asia | 0.6742 | 0.6653 | 0.7045 | 0.7058 | 0.6973 | 0.7036 | 0.7013 | |
| 55 | Southeast Asia | 0.6550 | 0.6609 | 0.6625 | 0.6664 | 0.6914 | 0.6914 | 0.6989 | |
| 56 | Middle East | 0.6889 | 0.6965 | 0.6900 | 0.7019 | 0.6957 | 0.6926 | 0.6989 | |
| 57 | Europe | 0.6520 | 0.6824 | 0.7341 | 0.7331 | 0.7025 | 0.7018 | 0.6984 | |
| 58 | Africa | 0.6385 | 0.6461 | 0.6736 | 0.6732 | 0.6713 | 0.6797 | 0.6982 | |
| 59 | Europe and Northern Asia | 0.6770 | 0.6866 | 0.6994 | 0.6987 | 0.7036 | 0.7037 | 0.6980 | |
| 60 | Europe | 0.6944 | 0.7008 | 0.7076 | 0.7094 | 0.7018 | 0.6983 | 0.6977 | |
| 61 | Europe | 0.6983 | 0.6967 | 0.6914 | 0.6950 | 0.6996 | 0.6966 | 0.6968 | |
| 62 | South America | 0.6543 | 0.6637 | 0.6737 | 0.6695 | 0.6655 | 0.6679 | 0.6909 | |
| 63 | South America | 0.7049 | 0.7090 | 0.6944 | 0.6939 | 0.6927 | 0.6714 | 0.6901 | |
| 64 | Europe | 0.6797 | 0.6790 | 0.6856 | 0.6896 | 0.6869 | 0.6861 | 0.6894 | |
| 65 | Southeast Asia | 0.6831 | 0.6815 | 0.6917 | 0.6907 | 0.6910 | 0.6892 | 0.6893 | |
| 66 | Southeast Asia | N/A | 0.6889 | 0.6778 | 0.6802 | 0.6776 | 0.6732 | 0.6867 | |
| 67 | Europe | 0.6797 | 0.6859 | 0.6763 | 0.6805 | 0.6826 | 0.6812 | 0.6859 | |
| 68 | Southeast Asia | N/A | N/A | N/A | N/A | N/A | N/A | 0.6855 | |
| 69 | East Asia | 0.6561 | 0.6643 | 0.6878 | 0.6907 | 0.6881 | 0.6866 | 0.6853 | |
| 70 | Europe | 0.6757 | 0.6797 | 0.6824 | 0.6845 | 0.6778 | 0.6797 | 0.6824 | |
| 71 | Africa | 0.6653 | 0.6725 | 0.6679 | 0.6704 | 0.6782 | 0.6811 | 0.6778 | |
| 72 | Africa | 0.6486 | 0.6508 | 0.6547 | 0.6512 | 0.6499 | 0.6493 | 0.6768 | |
| 73 | Europe | 0.6712 | 0.6718 | 0.6770 | 0.6789 | 0.6850 | 0.6789 | 0.6767 | |
| 74 | North America | 0.6483 | 0.6661 | 0.6960 | 0.6893 | 0.6927 | 0.6945 | 0.6763 | |
| 75 | Southeast Asia | N/A | N/A | 0.6392 | 0.6524 | 0.6748 | 0.6787 | 0.6750 | |
| 76 | South America | 0.6549 | 0.6608 | 0.6907 | 0.6936 | 0.6897 | 0.6907 | 0.6745 | |
| 77 | Africa | 0.6897 | 0.6797 | 0.6839 | 0.7071 | 0.6876 | 0.6832 | 0.6744 | |
| 78 | South America | 0.6619 | 0.6624 | 0.6959 | 0.7024 | 0.6895 | 0.6796 | 0.6742 | |
| 79 | Europe and Middle East | 0.6430 | 0.6522 | 0.6694 | 0.6706 | 0.6642 | 0.6567 | 0.6732 | |
| 80 | Europe | 0.6456 | 0.6498 | 0.6788 | 0.6798 | 0.6765 | 0.6796 | 0.6729 | |
| 81 | Europe | 0.6698 | 0.6731 | 0.6867 | 0.6879 | 0.6720 | 0.6642 | 0.6718 | |
| 82 | Europe | 0.6540 | 0.6648 | 0.6727 | 0.6662 | 0.6908 | 0.6916 | 0.6716 | |
| 83 | South America | 0.6556 | 0.6659 | 0.6379 | 0.6868 | 0.6804 | 0.6818 | 0.6714 | |
| 84 | North America | 0.6462 | 0.6441 | 0.6441 | 0.6503 | 0.6577 | 0.6604 | 0.6712 | |
| 85 | Europe and Central Asia | 0.6700 | 0.6665 | 0.6654 | 0.6680 | 0.6598 | 0.6624 | 0.6691 | |
| 86 | South Asia | 0.6270 | 0.6314 | 0.6531 | 0.6526 | 0.6702 | 0.6812 | 0.6684 | |
| 87 | South America | 0.6455 | 0.6482 | 0.6818 | 0.6884 | 0.7013 | 0.7030 | 0.6676 | |
| 88 | Europe and Central Asia | 0.6518 | 0.6615 | 0.6634 | 0.6635 | 0.6695 | 0.6658 | 0.6666 | |
| 89 | North America | 0.6639 | 0.6705 | 0.6744 | 0.6859 | 0.6774 | 0.6682 | 0.6659 | |
| 90 | Africa | N/A | N/A | N/A | 0.6427 | 0.6414 | 0.6573 | 0.6657 | |
| 91 | Europe | 0.6607 | 0.6685 | 0.6591 | 0.6601 | 0.6726 | 0.6748 | 0.6655 | |
| 92 | Europe and Central Asia | N/A | 0.6651 | 0.6677 | 0.6619 | 0.6669 | 0.6654 | 0.6636 | |
| 93 | Africa | 0.6448 | 0.6421 | 0.6622 | 0.6752 | 0.6762 | 0.6763 | 0.6630 | |
| 94 | North America | 0.6837 | 0.6853 | 0.6875 | 0.6939 | 0.6596 | 0.6567 | 0.6630 | |
| 95 | South Asia | N/A | 0.6350 | 0.6501 | 0.6482 | 0.6452 | 0.6480 | 0.6616 | |
| 96 | Central Asia | N/A | 0.6578 | 0.6541 | 0.6661 | 0.6598 | 0.6526 | 0.6608 | |
| 97 | Southeast Asia | 0.6541 | 0.6550 | 0.6473 | 0.6580 | 0.6615 | 0.6594 | 0.6591 | |
| 98 | Africa | 0.6328 | 0.6487 | 0.6466 | 0.6513 | 0.6520 | 0.6529 | 0.6547 | |
| 99 | Europe and Central Asia | N/A | 0.6781 | 0.6856 | 0.6626 | 0.6446 | 0.6577 | 0.6546 | |
| 100 | Southeast Asia | 0.6509 | 0.6444 | 0.6442 | 0.6467 | 0.6479 | 0.6525 | 0.6539 | |
| 101 | East Asia | 0.6447 | 0.6455 | 0.6434 | 0.6447 | 0.6524 | 0.6514 | 0.6530 | |
| 102 | North America | N/A | 0.6426 | 0.6610 | 0.6636 | 0.6536 | 0.6489 | 0.6465 | |
| 103 | Southeast Asia | 0.6291 | 0.6353 | 0.6469 | 0.6410 | 0.6482 | 0.6464 | 0.6457 | |
| 104 | Africa | 0.5854 | 0.5912 | 0.6029 | 0.6081 | 0.6162 | 0.6153 | 0.6455 | |
| 105 | South Asia | 0.6011 | 0.5936 | 0.6060 | 0.6151 | 0.6155 | 0.6190 | 0.6442 | |
| 106 | South America | N/A | 0.6794 | 0.6674 | 0.6726 | 0.6407 | 0.6395 | 0.6409 | |
| 107 | Middle East | 0.5919 | 0.6184 | 0.6220 | 0.6198 | 0.6397 | 0.6454 | 0.6392 | |
| 108 | East Asia | 0.6157 | 0.6409 | 0.6154 | 0.6146 | 0.6342 | 0.6281 | 0.6356 | |
| 109 | Middle East | 0.6341 | 0.6409 | 0.6358 | 0.6356 | 0.6318 | 0.6322 | 0.6320 | |
| 110 | Africa | 0.6104 | 0.6122 | 0.6339 | 0.6280 | 0.6055 | 0.6011 | 0.6315 | |
| 111 | Middle East | 0.5894 | 0.5931 | 0.5927 | 0.6136 | 0.6217 | 0.6232 | 0.6298 | |
| 112 | Africa | 0.5865 | 0.5919 | 0.6017 | 0.6108 | 0.6110 | 0.6073 | 0.6291 | |
| 113 | Oceania | N/A | N/A | N/A | 0.6414 | 0.6256 | 0.6255 | 0.6285 | |
| 114 | Africa | 0.6360 | 0.6288 | 0.6205 | 0.6310 | 0.6293 | 0.6300 | 0.6279 | |
| 115 | Middle East | N/A | 0.6041 | 0.5948 | 0.5907 | 0.6059 | 0.6230 | 0.6264 | |
| 116 | North America | 0.6067 | 0.6144 | 0.6072 | 0.6209 | 0.6238 | 0.6229 | 0.6260 | |
| 117 | Africa | 0.5780 | 0.5656 | 0.5582 | 0.5643 | 0.5719 | 0.5832 | 0.6258 | |
| 118 | Africa | 0.5946 | 0.5991 | 0.5867 | 0.5948 | 0.6019 | 0.6136 | 0.6200 | |
| 119 | Africa | 0.5835 | 0.6022 | 0.6117 | 0.6103 | 0.6152 | 0.6164 | 0.6129 | |
| 120 | Africa | 0.6018 | 0.6068 | 0.6111 | 0.6119 | 0.6052 | 0.5991 | 0.6112 | |
| 121 | Middle East | 0.6109 | 0.6203 | 0.6275 | 0.6182 | 0.6048 | 0.6117 | 0.6103 | |
| 122 | Middle East | N/A | N/A | N/A | N/A | 0.6084 | 0.6083 | 0.6030 | |
| 123 | Central Asia | 0.5478 | 0.5575 | 0.5942 | 0.6213 | 0.6084 | 0.5888 | 0.6026 | |
| 124 | Middle East and Europe | 0.5850 | 0.5768 | 0.5853 | 0.5828 | 0.5876 | 0.5954 | 0.6015 | |
| 125 | Middle East | N/A | 0.5903 | 0.5960 | 0.5938 | 0.5950 | 0.5873 | 0.5986 | |
| 126 | Middle East and Africa | 0.5786 | 0.5809 | 0.5832 | 0.5862 | 0.5899 | 0.5933 | 0.5975 | |
| 127 | Middle East | 0.5803 | 0.5903 | 0.6021 | 0.5839 | 0.5933 | 0.5894 | 0.5927 | |
| 128 | Africa | 0.5996 | 0.6019 | 0.6117 | 0.5860 | 0.5680 | 0.5752 | 0.5842 | |
| 129 | Africa | 0.5827 | 0.5676 | 0.5757 | 0.5926 | 0.5767 | 0.5804 | 0.5833 | |
| 130 | Africa | N/A | N/A | N/A | N/A | 0.5691 | 0.5773 | 0.5785 | |
| 131 | Middle East | 0.5242 | 0.5647 | 0.5537 | 0.5651 | 0.5713 | 0.5753 | 0.5731 | |
| 132 | Middle East | N/A | 0.6216 | 0.6181 | 0.6072 | 0.5926 | 0.5896 | 0.5626 | |
| 133 | Africa | 0.5247 | 0.5381 | 0.5290 | 0.5417 | 0.5330 | 0.5334 | 0.5594 | |
| 134 | Central Asia | 0.5434 | 0.5509 | 0.5549 | 0.5458 | 0.5465 | 0.5583 | 0.5478 | |
| 135 | Middle East | 0.4595 | 0.4510 | 0.4664 | 0.4609 | 0.4603 | 0.4873 | 0.5054 | |
| N/A | Africa | 0.6039 | 0.6034 | 0.6032 | 0.6353 | 0.6712 | 0.6624 | N/A | |
| N/A | Africa | 0.6461 | 0.6464 | 0.6485 | 0.6518 | 0.6574 | 0.6607 | N/A | |
| N/A | Africa | 0.6288 | 0.6283 | 0.6295 | 0.6233 | 0.6266 | 0.6255 | N/A |
See also [edit]
References [edit]
- ^ Ricardo Hausmann, Harvard University, Laura D. Tyson, University of California, Berkeley, Saadia Zahidi, World Economic Forum, Editors (2009). "The Global Gender Gap Report 2009". World Economic Forum, Geneva, Switzerland. p. 4. 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"
- ^ 2008 Report, p. 24
- ^ 2008 Report, p. 24
- ^ 2008 Report, p. 5
- ^ http://www3.weforum.org/docs/WEF_GenderGap_Report_2012.pdf
External links [edit]
- "Women Leaders and Gender Parity". World Economic Forum. Geneva, Switzerland. Retrieved 2008-11-19.
- Ricardo Hausmann, Laura D. Tyson, Saadia Zahidi, Editors (2012). "The Global Gender Gap Report 2012". World Economic Forum, Geneva, Switzerland. Retrieved 2012-10-26.
- Ricardo Hausmann, Laura D. Tyson, Saadia Zahidi, Editors (2010). "The Global Gender Gap Report 2010". World Economic Forum, Geneva, Switzerland. Retrieved 2010-10-20.
- Ricardo Hausmann, Laura D. Tyson, Saadia Zahidi, Editors (2009). "The Global Gender Gap Report 2009". World Economic Forum, Geneva, Switzerland. Retrieved 2009-11-02.
- Ricardo Hausmann, Laura D. Tyson, Saadia Zahidi, Editors (2008). "The Global Gender Gap Report 2008". World Economic Forum, Geneva, Switzerland. Retrieved 2008-11-19.
- Ricardo Hausmann, Laura D. Tyson, Saadia Zahidi, Editors (2007). "The Global Gender Gap Report 2007". World Economic Forum, Geneva, Switzerland. Retrieved 2008-11-19.
- Ricardo Hausmann, Laura D. Tyson, Saadia Zahidi, Editors (2006). "The Global Gender Gap Report 2006". World Economic Forum, Geneva, Switzerland. Retrieved 2008-11-19.