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==External links==
==External links==
* {{cite web| url = http://www.weforum.org/en/Communities/Women%20Leaders%20and%20Gender%20Parity/index.htm | title = Women Leaders and Gender Parity | work=World Economic Forum|location= Geneva, Switzerland|accessdate=2008-11-19}}
* {{cite web | url = http://www.weforum.org/en/Communities/Women%20Leaders%20and%20Gender%20Parity/index.htm | title = Women Leaders and Gender Parity | work = World Economic Forum | location = Geneva, Switzerland | accessdate = 2008-11-19 | deadurl = yes | archiveurl = https://web.archive.org/web/20081113001001/http://www.weforum.org/en/Communities/Women%20Leaders%20and%20Gender%20Parity/index.htm | archivedate = 2008-11-13 | df = }}
* [https://www.economist.com/blogs/graphicdetail/2013/10/daily-chart-18?spc=scode&spv=xm&ah=9d7f7ab945510a56fa6d37c30b6f1709 Daily chart: Sex and equality], The Economist, Oct 25th 2013
* [https://www.economist.com/blogs/graphicdetail/2013/10/daily-chart-18?spc=scode&spv=xm&ah=9d7f7ab945510a56fa6d37c30b6f1709 Daily chart: Sex and equality], The Economist, Oct 25th 2013


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* {{Cite book| url = http://www3.weforum.org/docs/WEF_GenderGap_Report_2011.pdf| title = The Global Gender Gap Report 2010}}
* {{Cite book| url = http://www3.weforum.org/docs/WEF_GenderGap_Report_2011.pdf| title = The Global Gender Gap Report 2010}}
* {{Cite book| url = http://www3.weforum.org/docs/WEF_GenderGap_Report_2010.pdf| author= Ricardo Hausmann, Laura D. Tyson, Saadia Zahidi, Editors | year = 2010 | title = The Global Gender Gap Report 2010| publisher = World Economic Forum, Geneva, Switzerland|accessdate=2010-10-20}}
* {{Cite book| url = http://www3.weforum.org/docs/WEF_GenderGap_Report_2010.pdf| author= Ricardo Hausmann, Laura D. Tyson, Saadia Zahidi, Editors | year = 2010 | title = The Global Gender Gap Report 2010| publisher = World Economic Forum, Geneva, Switzerland|accessdate=2010-10-20}}
* {{Cite book| url = http://www3.weforum.org/docs/WEF_GenderGap_Report_2009.pdf| author= Ricardo Hausmann, Laura D. Tyson, Saadia Zahidi, Editors | year = 2009 | title = The Global Gender Gap Report 2009| publisher = World Economic Forum, Geneva, Switzerland|accessdate=2009-11-02}}
* {{Cite book| url = http://www3.weforum.org/docs/WEF_GenderGap_Report_2009.pdf| author = Ricardo Hausmann, Laura D. Tyson, Saadia Zahidi, Editors| year = 2009| title = The Global Gender Gap Report 2009| publisher = World Economic Forum, Geneva, Switzerland| accessdate = 2009-11-02| deadurl = yes| archiveurl = https://web.archive.org/web/20130405044225/http://www3.weforum.org/docs/WEF_GenderGap_Report_2009.pdf| archivedate = 2013-04-05| df = }}
* {{Cite book| url = http://www3.weforum.org/docs/WEF_GenderGap_Report_2008.pdf| author= Ricardo Hausmann, Laura D. Tyson, Saadia Zahidi, Editors | year = 2008 | title = The Global Gender Gap Report 2008| publisher = World Economic Forum, Geneva, Switzerland|accessdate=2008-11-19}}
* {{Cite book| url = http://www3.weforum.org/docs/WEF_GenderGap_Report_2008.pdf| author= Ricardo Hausmann, Laura D. Tyson, Saadia Zahidi, Editors | year = 2008 | title = The Global Gender Gap Report 2008| publisher = World Economic Forum, Geneva, Switzerland|accessdate=2008-11-19}}
* {{Cite book| url = http://www3.weforum.org/docs/WEF_GenderGap_Report_2007.pdf| author= Ricardo Hausmann, Laura D. Tyson, Saadia Zahidi, Editors | year = 2007 | title = The Global Gender Gap Report 2007| publisher = World Economic Forum, Geneva, Switzerland|accessdate=2008-11-19}}
* {{Cite book| url = http://www3.weforum.org/docs/WEF_GenderGap_Report_2007.pdf| author= Ricardo Hausmann, Laura D. Tyson, Saadia Zahidi, Editors | year = 2007 | title = The Global Gender Gap Report 2007| publisher = World Economic Forum, Geneva, Switzerland|accessdate=2008-11-19}}

Revision as of 18:01, 19 October 2017

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.

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.[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, 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.[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]

The WEF Gender gap index world map for 2016[8]
Country Region Year[note 1]
2006 2007 2008 2009 2010 2011 2012 2013 2014 2015[9] 2016[8]
 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

Controversies

There are controversies around credibility of the index,[10][11] 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.[12] 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 doesn't affect the result much.[13]

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."[8] It is not necessarily true that highly developed countries should have higher scores.

Notes

  1. ^ Years of report publication. Values may reflect data collected the previous year.

References

  1. ^ 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 {{cite web}}: |author= has generic name (help); Unknown parameter |deadurl= ignored (|url-status= suggested) (help)CS1 maint: multiple names: authors list (link)
  2. ^ a b 2008 Report, p. 24
  3. ^ 2014 report, page 5
  4. ^ 2008 Report, p. 5
  5. ^ http://www3.weforum.org/docs/WEF_GenderGap_Report_2012.pdf
  6. ^ "The Global Gender Gap Report 2013" (PDF). World Economic Forum. pp. 12–13.
  7. ^ "Global Gender Gap Report 2014 - Reports - World Economic Forum". Global Gender Gap Report 2014.
  8. ^ a b c "Global Gender Gap Report 2016 - Rankings". World Economic Forum. Retrieved 16 February 2016. {{cite web}}: Unknown parameter |deadurl= ignored (|url-status= suggested) (help)
  9. ^ "Global Gender Gap Report 2015 - Rankings". World Economic Forum. Archived from the original on 17 April 2016. Retrieved 28 April 2016. {{cite web}}: Unknown parameter |deadurl= ignored (|url-status= suggested) (help)
  10. ^ "Is WEF's South Korea's Gender Equality Ranking really worse than Afghanistan, Saudi Arabia, and Burkina Faso, etc?". reddit.
  11. ^ "Why the U.S. is losing the global fight for gender equality". fortune.com.
  12. ^ "FactCheck: South Korea ranked 117th. Is that accurate?". YouTube.
  13. ^ 2016 report, page 5

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. {{cite book}}: |author= has generic name (help)CS1 maint: multiple names: 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. {{cite book}}: |author= has generic name (help)CS1 maint: multiple names: 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. {{cite book}}: |author= has generic name (help)CS1 maint: multiple names: 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. {{cite book}}: |author= has generic name (help); Unknown parameter |deadurl= ignored (|url-status= suggested) (help)CS1 maint: multiple names: 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. {{cite book}}: |author= has generic name (help)CS1 maint: multiple names: 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. {{cite book}}: |author= has generic name (help)CS1 maint: multiple names: 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. {{cite book}}: |author= has generic name (help)CS1 maint: multiple names: authors list (link)
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