Global Gender Gap Report
Global Gender Gap Report
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Global Gender Gap Report

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The Global Gender Gap Report is an index designed to measure gender equality. It was first published in 2006 by the World Economic Forum.[1]

Global Gender Gap Report 2020

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]

According to the World Economic Forum's Global Gender Gap Report 2023, it will take 131 years for the gender gap to close.[3][4]

Methodology

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The report's Gender Gap Index ranks countries regarding the gender inequality in four key areas: health, education, economy and politics.

  • 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.[5]

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.[6]

2025 Report

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The 2025 report covered 148 economies. Papua New Guinea and Trinidad and Tobago returned to the index, and Gabon was included for the first time.[7] Several countries that were ranked in previous editions, are not covered in the 2025 edition. These include Afghanistan (last ranked in 2023), Bahamas (2021), Cuba (2021), Iraq (2021), Malawi (2023), Mauritania (2021), Myanmar (2023), Qatar (2024), Russia (2021), Syria (2021), Venezuela (2021), and Yemen (2021).

rank Economy Score 2025[8]
1 Iceland 0.926
2 Finland 0.879
3 Norway 0.863
4 United Kingdom 0.838
5 New Zealand 0.827
6 Sweden 0.817
7 Moldova 0.813
8 Namibia 0.811
9 Germany 0.803
10 Ireland 0.801
11 Estonia 0.799
12 Spain 0.797
13 Australia 0.792
14 Denmark 0.791
15 Barbados 0.786
16 Costa Rica 0.786
17  Switzerland 0.785
18 Nicaragua 0.783
19 Lithuania 0.783
20 Philippines 0.781
21 Latvia 0.778
22 Chile 0.777
23 Mexico 0.776
24 Bangladesh 0.775
25 Ecuador 0.774
26 Serbia 0.774
27 Belgium 0.773
28 Trinidad and Tobago 0.772
29 Slovenia 0.770
30 Cape Verde 0.769
31 Guyana 0.768
32 Canada 0.767
33 South Africa 0.767
34 Portugal 0.767
35 France 0.765
36 Albania 0.763
37 Argentina 0.762
38 Jamaica 0.762
39 Rwanda 0.762
40 Liberia 0.760
41 Colombia 0.758
42 United States 0.756
43 Netherlands 0.756
44 Burundi 0.756
45 Poland 0.750
46 Eswatini 0.748
47 Singapore 0.748
48 Bolivia 0.747
49 Zimbabwe 0.747
50 Luxembourg 0.745
51 Panama 0.741
52 Suriname 0.738
53 Mozambique 0.738
54 Belarus 0.736
55 Tanzania 0.736
56 Austria 0.735
57 Peru 0.735
58 Madagascar 0.734
59 Armenia 0.731
60 Botswana 0.731
61 Dominican Republic 0.730
62 Ukraine 0.730
63 Georgia 0.729
64 Croatia 0.728
65 Mongolia 0.728
66 Thailand 0.728
67 Honduras 0.727
68 Malta 0.727
69 United Arab Emirates 0.724
70 Slovakia 0.723
71 Uruguay 0.720
72 Brazil 0.720
73 Bosnia and Herzegovina 0.717
74 Vietnam 0.713
75 Ethiopia 0.710
76 Israel 0.709
77 Greece 0.709
78 El Salvador 0.709
79 Zambia 0.707
80 Uganda 0.707
81 Guatemala 0.706
82 Cyprus 0.706
83 Bulgaria 0.706
84 Montenegro 0.705
85 Italy 0.704
86 Timor-Leste 0.704
87 Paraguay 0.703
88 Ghana 0.703
89 Belize 0.702
90 North Macedonia 0.699
91 Gabon 0.699
92 Kazakhstan 0.698
93 Cameroon 0.697
94 Romania 0.697
95 Kyrgyzstan 0.696
96 Laos 0.692
97 Indonesia 0.692
98 Kenya 0.689
99 Lesotho 0.688
100 Azerbaijan 0.688
101 South Korea 0.687
102 Czech Republic 0.686
103 China 0.686
104 Bahrain 0.684
105 Hungary 0.684
106 Cambodia 0.682
107 Brunei 0.681
108 Malaysia 0.681
109 Vanuatu 0.679
110 Uzbekistan 0.678
111 Mauritius 0.677
112 Sierra Leone 0.677
113 Benin 0.676
114 Gambia 0.674
115 Comoros 0.672
116 Senegal 0.670
117 Angola 0.668
118 Japan 0.666
119 Bhutan 0.663
120 Burkina Faso 0.659
121 Togo 0.657
122 Jordan 0.655
123 Tunisia 0.654
124 Nigeria 0.649
125   Nepal 0.648
126 Fiji 0.647
127 Côte d'Ivoire 0.647
128 Kuwait 0.646
129 Tajikistan 0.646
130 Sri Lanka 0.645
131 India 0.644
132 Saudi Arabia 0.643
133 Papua New Guinea 0.638
134 Oman 0.637
135 Turkey 0.633
136 Lebanon 0.632
137 Morocco 0.628
138 Maldives 0.626
139 Egypt 0.625
140 Mali 0.617
141 Algeria 0.614
142 Niger 0.613
143 Democratic Republic of the Congo 0.601
144 Guinea 0.595
145 Iran 0.583
146 Chad 0.571
147 Sudan 0.570
148 Pakistan 0.567

Global Gender Gap Index 2006-2025

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The highest possible score is 1.0 (equality or better for women, except for lifespan (106% or better for women) and gender parity at birth (94.4% or better for women[9]) and the lowest possible score is 0. Data for some countries are unavailable.[10][11][12]

Location Year[13] ^
Country Region 2025[7] 2024[14] 2023[15] 2022 2021[16] 2020[17] 2018 2017 2016[18] 2015[19] 2014 2013 2012 2011 2010 2009 2008 2007 2006
Afghanistan South Asia N/A N/A 0.405 0.435 0.444 N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A
Albania Europe 0.763 0.780 0.791 0.787 0.770 0.769 0.734 0.728 0.704 0.701 0.6869 0.6412 0.6655 0.6748 0.6726 0.6601 0.6591 0.6685 0.6607
Algeria Africa 0.614 0.612 0.573 0.602 0.633 0.634 0.629 0.629 0.642 0.632 0.6182 0.5966 0.6112 0.5991 0.6052 0.6119 0.6111 0.6068 0.6018
Angola Africa 0.668 0.668 0.656 0.638 0.657 0.660 0.633 0.640 0.643 0.637 0.6311 0.6659 N/A 0.6624 0.6712 0.6353 0.6032 0.6034 0.6039
Argentina South America 0.762 0.772 0.762 0.756 0.752 0.746 0.733 0.732 0.735 0.734 0.7317 0.7195 0.7212 0.7236 0.7187 0.7211 0.7209 0.6982 0.6829
Armenia West Asia 0.731 0.721 0.721 0.698 0.673 0.684 0.678 0.677 0.669 0.668 0.6622 0.6634 0.6636 0.6654 0.6669 0.6619 0.6677 0.6651 N/A
Australia Oceania 0.792 0.78 0.778 0.738 0.731 0.731 0.730 0.731 0.721 0.733 0.7409 0.7390 0.7294 0.7291 0.7271 0.7282 0.7241 0.7204 0.7163
Austria Europe 0.735 0.743 0.740 0.781 0.777 0.744 0.718 0.709 0.716 0.733 0.7266 0.7437 0.7391 0.7165 0.7091 0.7031 0.7153 0.7060 0.6986
Azerbaijan West Asia 0.688 0.685 0.692 0.687 0.688 0.687 0.680 0.676 0.684 0.675 0.6753 0.6582 0.6546 0.6577 0.6446 0.6626 0.6856 0.6781 N/A
Bahamas Central America N/A N/A N/A N/A 0.725 0.720 0.741 0.743 0.729 0.728 0.7269 0.7128 0.7156 0.7340 0.7128 0.7179 N/A N/A N/A
Bahrain West Asia 0.684 0.666 0.666 0.632 0.632 0.629 0.627 0.632 0.615 0.644 0.6261 0.6334 0.6298 0.6232 0.6217 0.6136 0.5927 0.5931 0.5894
Bangladesh South Asia 0.775 0.689 0.722 0.714 0.719 0.726 0.721 0.719 0.698 0.704 0.6973 0.6848 0.6684 0.6812 0.6702 0.6526 0.6531 0.6314 0.6270
Barbados Central America 0.786 0.773 0.769 0.765 0.769 0.749 0.753 0.750 0.739 0.744 0.7289 0.7301 0.7232 0.7170 0.7176 0.7236 0.7188 N/A N/A
Belarus Europe 0.736 0.733 0.752 0.750 0.758 0.746 0.747 0.744 0.737 0.734 N/A N/A N/A N/A N/A N/A N/A N/A N/A
Belgium Europe 0.773 0.793 0.796 0.793 0.789 0.750 0.738 0.739 0.745 0.753 0.7809 0.7684 0.7652 0.7531 0.7509 0.7165 0.7163 0.7198 0.7078
Belize Central America 0.702 0.696 0.696 0.695 0.699 0.671 0.662 0.692 0.676 0.668 0.6701 0.6449 0.6465 0.6489 0.6536 0.6636 0.6610 0.6426 N/A
Benin Africa 0.676 0.629 0.616 0.612 0.653 0.658 0.654 0.652 0.636 0.625 N/A 0.5885 0.6258 0.5832 0.5719 0.5643 0.5582 0.5656 0.5780
Bhutan South Asia 0.663 0.651 0.682 0.637 0.639 0.635 0.638 0.638 0.642 0.646 0.6364 0.6651 N/A N/A N/A N/A N/A N/A N/A
Bolivia South America 0.747 0.746 0.730 0.734 0.722 0.734 0.748 0.758 0.746 0.749 0.7049 0.7340 0.7222 0.6862 0.6751 0.6693 0.6667 0.6574 0.6335
Bosnia and Herzegovina Europe 0.717 0.710 0.698 0.710 0.713 N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A
Botswana Africa 0.731 0.73 0.719 0.719 0.716 0.709 0.715 0.720 0.715 0.710 0.7129 0.6752 0.6744 0.6832 0.6876 0.7071 0.6839 0.6797 0.6897
Brazil South America 0.720 0.716 0.726 0.696 0.695 0.691 0.681 0.684 0.687 0.686 0.6941 0.6949 0.6909 0.6679 0.6655 0.6695 0.6737 0.6637 0.6543
Brunei Darussalam Southeast Asia 0.681 0.684 0.693 0.680 0.678 0.686 0.686 0.671 0.669 0.684 0.6719 0.6730 0.6750 0.6787 0.6748 0.6524 0.6392 N/A N/A
Bulgaria Europe 0.706 0.723 0.715 0.740 0.746 0.727 0.756 0.756 0.726 0.722 0.7444 0.7097 0.7021 0.6987 0.6983 0.7072 0.7077 0.7085 0.6870
Burkina Faso Africa 0.659 0.661 0.676 0.659 0.651 0.635 0.629 0.646 0.64 0.651 0.6500 0.6513 0.6455 0.6153 0.6162 0.6081 0.6029 0.5912 0.5854
Burundi Africa 0.756 0.757 0.763 0.777 0.769 0.745 0.741 0.755 0.768 0.748 0.7565 0.7397 0.7338 0.7270 N/A N/A N/A N/A N/A
Cambodia Southeast Asia 0.682 0.685 0.695 0.690 0.685 0.694 0.683 0.676 0.658 0.662 0.6520 0.6509 0.6457 0.6464 0.6482 0.6410 0.6469 0.6353 0.6291
Cameroon Africa 0.697 0.693 0.693 0.692 0.692 0.686 0.714 0.689 0.684 0.682 N/A 0.6560 0.6291 0.6073 0.6110 0.6108 0.6017 0.5919 0.5865
Canada North America 0.767 0.761 0.77 0.772 0.772 0.772 0.771 0.769 0.731 0.740 0.7464 0.7425 0.7381 0.7407 0.7372 0.7196 0.7136 0.7198 0.7165
Cape Verde Africa 0.769 0.755 0.761 0.736 0.716 0.725 0.702 0.686 0.729 0.717 0.7133 0.7122 0.7180 N/A N/A N/A N/A N/A N/A
Chad Africa 0.571 0.576 0.570 0.579 0.593 0.596 0.580 0.575 0.587 0.580 0.5764 0.5588 0.5594 0.5334 0.5330 0.5417 0.5290 0.5381 0.5247
Chile South America 0.777 0.781 0.777 0.736 0.716 0.723 0.717 0.704 0.699 0.698 0.6975 0.6670 0.6676 0.7030 0.7013 0.6884 0.6818 0.6482 0.6455
China East Asia 0.686 0.684 0.678 0.682 0.682 0.676 0.673 0.674 0.676 0.682 0.6830 0.6908 0.6853 0.6866 0.6881 0.6907 0.6878 0.6643 0.6561
Colombia South America 0.758 0.745 0.751 0.710 0.725 0.758 0.729 0.731 0.727 0.725 0.7122 0.7171 0.6901 0.6714 0.6927 0.6939 0.6944 0.7090 0.7049
Comoros Africa 0.672 0.663 0.664 0.631 N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A
Costa Rica Central America 0.786 0.785 0.793 0.796 0.786 0.782 0.749 0.727 0.736 0.732 0.7165 0.7241 0.7225 0.7266 0.7194 0.7180 0.7111 0.7014 0.6936
Côte d'Ivoire Africa 0.647 N/A N/A 0.632 0.637 0.606 0.627 0.611 0.597 0.606 0.5874 0.5814 0.5785 0.5773 0.5691 N/A N/A N/A N/A
Croatia Europe 0.728 0.723 0.730 N/A 0.733 0.720 0.712 0.711 0.7 0.708 0.7075 0.7069 0.7053 0.7006 0.6939 0.6944 0.6967 0.7210 0.7145
Cuba Central America N/A N/A N/A N/A 0.746 0.746 0.749 0.745 0.74 0.740 0.7317 0.7540 0.7417 0.7394 0.7253 0.7176 0.7195 0.7169 N/A
Cyprus West Asia 0.706 0.705 0.678 0.696 0.707 0.692 0.684 0.684 0.684 0.671 0.6741 0.6801 0.6732 0.6567 0.6642 0.6706 0.6694 0.6522 0.6430
Czech Republic Europe 0.686 0.684 0.685 0.710 0.711 0.706 0.693 0.688 0.69 0.687 0.6737 0.6770 0.6767 0.6789 0.6850 0.6789 0.6770 0.6718 0.6712
Democratic Republic of the Congo Africa 0.601 0.609 0.612 0.575 0.576 N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A
Denmark Europe 0.791 0.789 0.78 0.764 0.768 0.782 0.778 0.776 0.754 0.767 0.8025 0.7779 0.7777 0.7778 0.7719 0.7628 0.7538 0.7519 0.7462
Dominican Republic Central America 0.730 0.706 0.704 0.703 0.699 0.700 0.701 0.697 0.676 0.686 0.6906 0.6867 0.6659 0.6682 0.6774 0.6859 0.6744 0.6705 0.6639
Ecuador South America 0.774 0.788 0.737 0.743 0.739 0.729 0.729 0.724 0.726 0.738 0.7455 0.7389 0.7206 0.7035 0.7072 0.7220 0.7091 0.6881 0.6433
Egypt Africa 0.625 0.629 0.626 0.635 0.639 0.629 0.614 0.608 0.614 0.599 0.6064 0.5935 0.5975 0.5933 0.5899 0.5862 0.5832 0.5809 0.5786
El Salvador Central America 0.709 0.695 0.714 0.727 0.738 0.706 0.690 0.705 0.702 0.706 0.6863 0.6609 0.6630 0.6567 0.6596 0.6939 0.6875 0.6853 0.6837
Estonia Europe 0.799 0.774 0.782 0.733 0.733 0.751 0.734 0.731 0.747 0.749 0.7017 0.6997 0.6977 0.6983 0.7018 0.7094 0.7076 0.7008 0.6944
Eswatini Africa 0.748 0.744 0.745 0.728 0.729 N/A N/A 0.670 0.665 0.670 N/A N/A N/A N/A N/A N/A N/A N/A N/A
Ethiopia Africa 0.710 0.709 0.711 0.710 0.691 0.705 0.656 0.656 0.662 0.640 0.6144 0.6198 0.6200 0.6136 0.6019 0.5948 0.5867 0.5991 0.5946
Fiji Oceania 0.647 0.642 0.65 0.676 0.674 0.678 0.669 N/A N/A 0.645 0.6286 0.6286 0.6285 0.6255 0.6256 0.6414 N/A N/A N/A
Finland Europe 0.879 0.875 0.863 0.860 0.861 0.832 0.821 0.823 0.845 0.850 0.8453 0.8421 0.8451 0.8383 0.8260 0.8252 0.8195 0.8044 0.7958
France Europe 0.765 0.781 0.756 0.791 0.784 0.781 0.779 0.778 0.755 0.761 0.7588 0.7089 0.6984 0.7018 0.7025 0.7331 0.7341 0.6824 0.6520
Gambia, The Africa 0.674 0.679 0.651 0.641 0.644 0.628 0.642 0.649 0.667 0.674 N/A N/A 0.6630 0.6763 0.6762 0.6752 0.6622 0.6421 0.6448
Georgia West Asia 0.729 0.716 0.708 0.731 0.732 0.708 0.677 0.679 0.681 0.687 0.6855 0.6750 0.6691 0.6624 0.6598 0.6680 0.6654 0.6665 0.6700
Germany Europe 0.803 0.81 0.815 0.801 0.796 0.787 0.776 0.778 0.766 0.779 0.7780 0.7583 0.7629 0.7590 0.7530 0.7449 0.7394 0.7618 0.7524
Ghana Africa 0.703 0.701 0.688 0.672 0.666 0.673 0.688 0.695 0.705 0.704 0.6661 0.6811 0.6778 0.6811 0.6782 0.6704 0.6679 0.6725 0.6653
Greece Europe 0.709 0.714 0.693 0.689 0.689 0.701 0.696 0.692 0.68 0.685 0.6784 0.6782 0.6716 0.6916 0.6908 0.6662 0.6727 0.6648 0.6540
Guatemala Central America 0.706 0.697 0.659 0.664 0.655 0.666 0.668 0.667 0.666 0.667 0.6821 0.6304 0.6260 0.6229 0.6238 0.6209 0.6072 0.6144 0.6067
Guinea Africa 0.595 0.601 0.617 0.647 0.660 0.642 0.656 0.659 0.64 0.618 N/A N/A N/A N/A N/A N/A N/A N/A N/A
Guyana South America 0.768 0.765 N/A 0.752 0.728 N/A N/A N/A N/A 0.702 0.7010 0.7085 0.7119 0.7084 0.7090 0.7108 N/A N/A N/A
Honduras Central America 0.727 0.726 0.735 0.705 0.716 0.722 0.706 0.711 0.69 0.688 0.6935 0.6773 0.6763 0.6945 0.6927 0.6893 0.6960 0.6661 0.6483
Hungary Europe 0.684 0.686 0.689 0.699 0.688 0.677 0.674 0.670 0.669 0.672 0.6759 0.6742 0.6718 0.6642 0.6720 0.6879 0.6867 0.6731 0.6698
Iceland Europe 0.926 0.935 0.912 0.908 0.892 0.877 0.858 0.878 0.874 0.881 0.8594 0.8731 0.8640 0.8530 0.8496 0.8276 0.7999 0.7836 0.7813
India South Asia 0.644 0.641 0.643 0.629 0.625 0.668 0.665 0.669 0.683 0.664 0.6455 0.6551 0.6442 0.6190 0.6155 0.6151 0.6060 0.5936 0.6011
Indonesia Southeast Asia 0.692 0.686 0.697 0.697 0.688 0.700 0.691 0.691 0.682 0.681 0.6725 0.6613 0.6591 0.6594 0.6615 0.6580 0.6473 0.6550 0.6541
Iran West Asia 0.583 0.579 0.575 0.576 0.582 0.584 0.589 0.583 0.587 0.580 0.5811 0.5842 0.5927 0.5894 0.5933 0.5839 0.6021 0.5903 0.5803
Iraq West Asia N/A N/A N/A N/A 0.535 N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A
Ireland Europe 0.801 0.802 0.795 0.804 0.800 0.798 0.796 0.794 0.797 0.807 0.7850 0.7823 0.7839 0.7830 0.7773 0.7597 0.7518 0.7457 0.7335
Israel West Asia 0.709 0.699 0.701 0.727 0.724 0.718 0.722 0.721 0.719 0.712 0.7005 0.7032 0.6989 0.6926 0.6957 0.7019 0.6900 0.6965 0.6889
Italy Europe 0.704 0.703 0.705 0.720 0.721 0.707 0.706 0.692 0.719 0.726 0.6973 0.6885 0.6729 0.6796 0.6765 0.6798 0.6788 0.6498 0.6456
Jamaica Central America 0.762 0.655 0.650 0.749 0.741 0.735 0.724 0.717 0.724 0.703 0.7128 0.7085 0.7035 0.7028 0.7037 0.7013 0.6980 0.6925 0.7014
Japan East Asia 0.666 0.758 0.779 0.650 0.656 0.652 0.662 0.657 0.66 0.670 0.6584 0.6498 0.6530 0.6514 0.6524 0.6447 0.6434 0.6455 0.6447
Jordan West Asia 0.655 0.663 0.647 0.639 0.683 0.623 0.605 0.604 0.603 0.593 0.5968 0.6093 0.6103 0.6117 0.6048 0.6182 0.6275 0.6203 0.6109
Kazakhstan Central Asia 0.698 0.652 0.646 0.719 0.710 0.710 0.712 0.713 0.718 0.719 0.7210 0.7218 0.7213 0.7010 0.7055 0.7013 0.6976 0.6983 0.6928
Kenya Africa 0.689 0.710 0.721 0.729 0.692 0.671 0.700 0.694 0.702 0.719 0.7258 0.6803 0.6768 0.6493 0.6499 0.6512 0.6547 0.6508 0.6486
Korea, Rep. East Asia 0.687 0.712 0.708 0.689 0.687 0.672 0.657 0.650 0.649 0.651 0.6403 0.6351 0.6356 0.6281 0.6342 0.6146 0.6154 0.6409 0.6157
Kuwait West Asia 0.646 0.636 0.651 0.632 0.621 0.650 0.630 0.679 0.624 0.646 0.6457 0.6292 0.6320 0.6322 0.6318 0.6356 0.6358 0.6409 0.6341
Kyrgyz Republic Central Asia 0.696 0.700 0.700 0.700 0.681 0.689 0.691 0.691 0.687 0.693 0.6974 0.6948 0.7013 0.7036 0.6973 0.7058 0.7045 0.6653 0.6742
Laos Southeast Asia 0.692 0.700 0.733 0.733 0.750 0.731 0.748 0.703 N/A 0.713 0.7044 0.6993 N/A N/A N/A N/A N/A N/A N/A
Latvia Europe 0.778 0.773 0.794 0.771 0.778 0.785 0.758 0.756 0.755 0.752 0.7691 0.7610 0.7572 0.7399 0.7429 0.7416 0.7397 0.7333 0.7091
Lebanon West Asia 0.632 0.632 0.628 0.644 0.638 0.599 0.595 0.596 0.598 0.598 0.5923 0.6028 0.6030 0.6083 0.6084 N/A N/A N/A N/A
Lesotho Africa 0.688 0.691 0.702 0.700 0.698 0.695 0.693 0.695 0.706 0.706 0.7255 0.7530 0.7608 0.7666 0.7678 0.7495 0.7320 0.7078 0.6807
Liberia Africa 0.760 0.754 0.76 0.709 0.693 0.685 0.681 0.669 0.652 0.652 N/A N/A N/A N/A N/A N/A N/A N/A N/A
Lithuania Europe 0.783 0.793 0.800 0.799 0.804 0.745 0.749 0.742 0.744 0.740 0.7208 0.7308 0.7191 0.7131 0.7132 0.7175 0.7222 0.7234 0.7077
Luxembourg Europe 0.745 0.744 0.747 0.736 0.726 0.725 0.712 0.706 0.734 0.738 0.7333 0.7410 0.7439 0.7216 0.7231 0.6889 0.6802 0.6786 0.6671
North Macedonia Europe 0.699 0.727 0.711 0.716 0.715 0.711 0.707 0.702 0.696 0.701 0.6943 0.7013 0.6968 0.6966 0.6996 0.6950 0.6914 0.6967 0.6983
Madagascar Africa 0.734 0.720 0.737 0.735 0.725 0.719 0.691 0.692 0.704 0.698 0.7214 0.7016 0.6982 0.6797 0.6713 0.6732 0.6736 0.6461 0.6385
Malawi Africa N/A N/A 0.676 0.632 0.671 0.664 0.662 0.672 0.7 0.701 0.7281 0.7139 0.7166 0.6850 0.6824 0.6738 0.6664 0.6480 0.6437
Malaysia Southeast Asia 0.681 0.668 0.682 0.681 0.676 0.677 0.676 0.670 0.666 0.655 0.6520 0.6518 0.6539 0.6525 0.6479 0.6467 0.6442 0.6444 0.6509
Maldives South Asia 0.626 0.633 0.649 0.648 0.642 0.646 0.662 0.669 .65 0.652 0.6557 0.6604 0.6616 0.6480 0.6452 0.6482 0.6501 0.6350 N/A
Mali Africa 0.617 0.604 0.605 0.601 0.591 0.621 0.582 0.583 0.591 0.599 0.5779 0.5872 0.5842 0.5752 0.5680 0.5860 0.6117 0.6019 0.5996
Malta Europe 0.727 0.723 0.713 0.703 0.703 0.693 0.686 0.682 0.664 0.668 0.6707 0.6761 0.6666 0.6658 0.6695 0.6635 0.6634 0.6615 0.6518
Mauritania Africa N/A N/A N/A N/A 0.606 0.614 0.607 0.614 0.624 0.613 0.6029 0.5810 0.6129 0.6164 0.6152 0.6103 0.6117 0.6022 0.5835
Mauritius Africa 0.677 0.683 0.689 0.679 0.679 0.665 0.663 0.664 0.652 0.646 0.6541 0.6599 0.6547 0.6529 0.6520 0.6513 0.6466 0.6487 0.6328
Mexico North America 0.776 0.768 0.765 0.764 0.757 0.754 0.721 0.692 0.7 0.699 0.6900 0.6917 0.6712 0.6604 0.6577 0.6503 0.6441 0.6441 0.6462
Moldova Europe 0.813 0.791 0.788 0.788 0.768 0.757 0.733 0.740 0.741 0.742 0.7405 0.7037 0.7101 0.7083 0.7160 0.7104 0.7244 0.7172 0.7128
Mongolia East Asia 0.728 0.705 0.704 0.715 0.716 0.706 0.714 0.713 0.705 0.709 0.7212 0.7204 0.7111 0.7140 0.7194 0.7221 0.7049 0.6731 0.6821
Montenegro Europe 0.705 0.718 0.714 0.732 0.732 0.710 0.706 0.693 0.681 0.689 N/A N/A N/A N/A N/A N/A N/A N/A N/A
Morocco Africa 0.628 0.628 0.621 0.624 0.612 0.605 0.607 0.598 0.597 0.593 0.5988 0.5845 0.5833 0.5804 0.5767 0.5926 0.5757 0.5676 0.5827
Mozambique Africa 0.738 0.776 0.778 0.752 0.758 0.723 0.721 0.741 0.75 0.741 0.7370 0.7349 0.7350 0.7251 0.7329 0.7195 0.7266 0.6883 N/A
Myanmar Southeast Asia N/A N/A 0.650 0.677 0.681 0.665 0.690 0.691 N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A
Namibia Africa 0.811 0.805 0.802 0.807 0.809 0.784 0.789 0.777 0.765 0.760 0.7219 0.7094 0.7121 0.7177 0.7238 0.7167 0.7141 0.7012 0.6864
  Nepal South Asia 0.648 0.664 0.659 0.692 0.683 0.680 0.671 0.664 0.661 0.658 0.6458 0.6053 0.6026 0.5888 0.6084 0.6213 0.5942 0.5575 0.5478
Netherlands Europe 0.756 0.775 0.777 0.767 0.762 0.736 0.747 0.737 0.756 0.776 0.7730 0.7608 0.7659 0.7470 0.7444 0.7490 0.7399 0.7383 0.7250
New Zealand Oceania 0.827 0.835 0.856 0.841 0.840 0.799 0.801 0.791 0.781 0.782 0.7772 0.7799 0.7805 0.7810 0.7808 0.7880 0.7859 0.7649 0.7509
Nicaragua Central America 0.783 0.811 0.811 0.810 0.796 0.804 0.809 0.814 0.78 0.776 0.7894 0.7715 0.7697 0.7245 0.7176 0.7002 0.6747 0.6458 0.6566
Niger Africa 0.613 0.628 0.622 0.635 0.629 N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A
Nigeria Africa 0.649 0.65 0.637 0.639 0.627 0.635 0.621 0.641 0.643 0.638 0.6391 0.6469 0.6315 0.6011 0.6055 0.6280 0.6339 0.6122 0.6104
Norway Europe 0.863 0.875 0.879 0.845 0.849 0.842 0.835 0.830 0.842 0.850 0.8374 0.8417 0.8403 0.8404 0.8404 0.8227 0.8239 0.8059 0.7994
Oman West Asia 0.637 0.628 0.614 0.609 0.608 0.602 0.605 N/A 0.612 0.604 0.6091 0.6053 0.5986 0.5873 0.5950 0.5938 0.5960 0.5903 N/A
Pakistan South Asia 0.567 0.570 0.575 0.564 0.556 0.564 0.550 0.546 0.556 0.559 0.5522 0.5459 0.5478 0.5583 0.5465 0.5458 0.5549 0.5509 0.5434
Panama Central America 0.741 0.742 0.724 0.743 0.737 0.730 0.722 0.722 0.721 0.772 0.7195 0.7164 0.7122 0.7042 0.7072 0.7024 0.7095 0.6954 0.6935
Papua New Guinea Oceania 0.638 N/A N/A N/A 0.635 N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A
Paraguay South America 0.703 0.707 0.695 0.707 0.702 0.683 0.672 0.678 0.676 0.666 0.6890 0.6724 0.6714 0.6818 0.6804 0.6868 0.6379 0.6659 0.6556
Peru South America 0.735 0.755 0.764 0.749 0.721 0.714 0.720 0.719 0.687 0.683 0.7198 0.6787 0.6742 0.6796 0.6895 0.7024 0.6959 0.6624 0.6619
Philippines Southeast Asia 0.781 0.779 0.791 0.783 0.784 0.781 0.799 0.790 0.786 0.790 0.7814 0.7832 0.7757 0.7685 0.7654 0.7579 0.7568 0.7629 0.7516
Poland Europe 0.750 0.740 0.722 0.709 0.713 0.736 0.728 0.728 0.727 0.715 0.7051 0.7031 0.7015 0.7038 0.7037 0.6998 0.6951 0.6756 0.6802
Portugal Europe 0.767 0.787 0.765 0.766 0.775 0.744 0.732 0.734 0.737 0.731 0.7243 0.7056 0.7071 0.7144 0.7171 0.7013 0.7051 0.6959 0.6922
Qatar West Asia N/A 0.640 0.627 0.617 0.624 0.629 0.629 0.626 0.643 0.645 0.6403 0.6299 0.6264 0.6230 0.6059 0.5907 0.5948 0.6041 N/A
Romania Europe 0.697 0.717 0.697 0.698 0.700 0.724 0.711 0.708 0.69 0.693 0.6936 0.6908 0.6859 0.6812 0.6826 0.6805 0.6763 0.6859 0.6797
Russia Europe N/A N/A N/A N/A 0.708 0.706 0.701 0.696 0.691 0.694 0.6927 0.6983 0.6980 0.7037 0.7036 0.6987 0.6994 0.6866 0.6770
Rwanda Africa 0.762 0.757 0.794 0.811 0.805 0.791 0.804 0.822 0.8 0.794 N/A N/A N/A N/A N/A N/A N/A N/A N/A
Saudi Arabia West Asia 0.643 0.647 0.637 0.636 0.603 0.599 0.590 0.584 0.583 0.605 0.6059 0.5879 0.5731 0.5753 0.5713 0.5651 0.5537 0.5647 0.5242
Senegal Africa 0.670 0.679 0.680 0.668 0.684 0.684 0.682 0.684 0.685 0.698 0.6912 0.6923 0.6657 0.6573 0.6414 0.6427 N/A N/A N/A
Serbia Europe 0.774 0.779 0.76 0.779 0.780 0.736 0.730 0.727 0.72 0.720 0.7086 0.7116 0.7037 N/A N/A N/A N/A N/A N/A
Sierra Leone Africa 0.677 0.708 0.667 0.672 0.655 N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A
Singapore Southeast Asia 0.748 0.744 0.739 0.734 0.727 0.724 0.707 0.702 0.712 0.711 0.7046 0.7000 0.6989 0.6914 0.6914 0.6664 0.6625 0.6609 0.6550
Slovakia Europe 0.723 0.731 0.72 0.717 0.712 0.718 0.693 0.694 0.679 0.675 0.6806 0.6857 0.6824 0.6797 0.6778 0.6845 0.6824 0.6797 0.6757
Slovenia Europe 0.770 0.766 0.773 0.744 0.741 0.743 0.784 0.805 0.786 0.784 0.7443 0.7155 0.7132 0.7041 0.7047 0.6982 0.6937 0.6842 0.6745
South Africa Africa 0.767 0.785 0.787 0.782 0.781 0.780 0.755 0.756 0.764 0.759 0.7527 0.7510 0.7496 0.7478 0.7535 0.7709 0.7232 0.7194 0.7125
Spain Europe 0.797 0.797 0.791 0.788 0.788 0.795 0.746 0.746 0.738 0.742 0.7325 0.7266 0.7266 0.7580 0.7554 0.7345 0.7281 0.7444 0.7319
Sri Lanka South Asia 0.645 0.653 0.663 0.670 0.670 0.680 0.676 0.669 0.673 0.686 0.6903 0.7019 0.7122 0.7212 0.7458 0.7402 0.7371 0.7230 0.7199
Suriname South America 0.738 0.739 0.736 0.737 0.729 0.707 0.695 0.689 0.679 0.670 0.6504 0.6369 0.6409 0.6395 0.6407 0.6726 0.6674 0.6794 N/A
Sweden Europe 0.817 0.816 0.815 0.822 0.823 0.820 0.822 0.816 0.815 0.823 0.8165 0.8129 0.8159 0.8044 0.8024 0.8139 0.8139 0.8146 0.8133
 Switzerland Europe 0.785 0.785 0.783 0.795 0.798 0.779 0.755 0.755 0.776 0.785 0.7798 0.7736 0.7672 0.7627 0.7562 0.7426 0.7360 0.6924 0.6997
Syria West Asia N/A N/A N/A N/A 0.568 0.567 0.568 0.568 0.567 0.568 0.5775 0.5661 0.5626 0.5896 0.5926 0.6072 0.6181 0.6216 N/A
Tajikistan Central Asia 0.646 0.673 0.672 0.663 0.650 0.626 0.638 0.678 0.679 0.675 0.6654 0.6682 0.6608 0.6526 0.6598 0.6661 0.6541 0.6578 N/A
Tanzania Africa 0.736 0.734 0.740 0.719 0.707 0.713 0.704 0.700 0.716 0.718 0.7182 0.6928 0.7091 0.6904 0.6829 0.6797 0.7068 0.6969 0.7038
Thailand Southeast Asia 0.728 0.72 0.711 0.709 0.710 0.708 0.702 0.694 0.699 0.706 0.7027 0.6928 0.6893 0.6892 0.6910 0.6907 0.6917 0.6815 0.6831
Timor-Leste Southeast Asia 0.704 0.704 0.693 0.730 0.720 0.662 0.638 0.628 0.637 N/A N/A N/A 0.6855 N/A N/A N/A N/A N/A N/A
Togo Africa 0.657 0.71 0.696 0.697 0.683 N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A
Trinidad and Tobago Central America 0.772 N/A N/A N/A 0.749 0.756 N/A N/A 0.723 0.720 0.7154 0.7166 0.7116 0.7372 0.7353 0.7298 0.7245 0.6859 0.6797
Tunisia Africa 0.654 0.668 0.642 0.643 0.649 0.644 0.648 0.651 0.636 0.634 0.6272 N/A N/A 0.6255 0.6266 0.6233 0.6295 0.6283 0.6288
Turkey West Asia 0.633 0.645 0.638 0.639 0.638 0.635 0.628 0.625 0.623 0.624 0.6183 0.6081 0.6015 0.5954 0.5876 0.5828 0.5853 0.5768 0.5850
Uganda Africa 0.707 0.706 0.706 0.724 0.717 0.717 0.724 0.721 0.704 0.708 0.6821 0.7086 0.7228 0.7220 0.7169 0.7067 0.6981 0.6833 0.6797
Ukraine Europe 0.730 0.722 0.714 0.707 0.714 0.721 0.708 0.705 0.7 0.702 0.7056 0.6935 0.6894 0.6861 0.6869 0.6896 0.6856 0.6790 0.6797
United Arab Emirates West Asia 0.724 0.713 0.712 0.716 0.716 0.655 0.642 0.649 0.639 0.646 0.6436 0.6372 0.6392 0.6454 0.6397 0.6198 0.6220 0.6184 0.5919
United Kingdom Europe 0.838 0.789 0.792 0.780 0.775 0.767 0.744 0.770 0.752 0.758 0.7383 0.7440 0.7433 0.7462 0.7460 0.7402 0.7366 0.7441 0.7365
United States North America 0.756 0.747 0.748 0.769 0.763 0.724 0.720 0.718 0.722 0.740 0.7463 0.7392 0.7373 0.7412 0.7411 0.7173 0.7179 0.7002 0.7042
Uruguay South America 0.720 0.715 0.714 0.711 0.702 0.737 0.715 0.710 0.681 0.679 0.6871 0.6803 0.6745 0.6907 0.6897 0.6936 0.6907 0.6608 0.6549
Vanuatu Oceania 0.679 0.673 0.678 0.670 0.625 N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A
Venezuela South America N/A N/A N/A N/A 0.699 0.713 0.709 0.706 0.694 0.691 0.6851 0.7060 0.7060 0.6861 0.6863 0.6839 0.6875 0.6797 0.6664
Vietnam Southeast Asia 0.713 0.715 0.711 0.705 0.701 0.700 0.698 0.698 0.7 0.687 0.6915 0.6863 0.6867 0.6732 0.6776 0.6802 0.6778 0.6889 N/A
Yemen West Asia N/A N/A N/A N/A 0.492 0.494 0.499 0.516 0.516 0.484 0.5145 0.5128 0.5054 0.4873 0.4603 0.4609 0.4664 0.4510 0.4595
Zambia Africa 0.707 0.697 0.699 0.723 0.726 0.731 N/A N/A N/A 0.650 0.6364 0.6312 0.6279 0.6300 0.6293 0.6310 0.6205 0.6288 0.6360
Zimbabwe Africa 0.747 0.740 0.746 0.734 0.732 0.730 0.721 0.717 0.71 0.709 0.7013 N/A N/A 0.6607 0.6574 0.6518 0.6485 0.6464 0.6461

Upper limiting value of the Gender Gap Index

[edit]
1. Economic participation and opportunity
Ratio Limit[20] Weight[21] Value
Labour force participation 1.0 0.199 0.199
Wage equality for similar work 1.0 0.310 0.310
Estimated earned income 1.0 0.221 0.221
Legislators, senior officials and managers 1.0 0.149 0.149
Professional and technical workers 1.0 0.121 0.121
Sum 1.0 1.0
2. Educational attainment
Ratio Limit[20] Weight[21] Value
Literacy rate 1.0 0.191 0.191
Enrolment in primary education 1.0 0.459 0.459
Enrolment in secondary education 1.0 0.229 0.229
Enrolment in tertiary education 1.0 0.121 0.121
Sum 1.0 1.0
3. Health and survival
Ratio Limit[20] Weight[21] Value
Sex ratio at birth 0.944[22] 0.693 0.654
Healthy life expectancy 1.060[23] 0.307 0.325
Sum 1.0 0.980
4. Political empowerment
Ratio Limit[20] Weight[21] Value
Women in parliament 1.0 0.310 0.310
Women in ministerial positions 1.0 0.247 0.247
Years with female head of state 1.0 0.443 0.443
Sum 1.0 1.0
Compilation
1. Economic participation and opportunity 1.000
2. Educational attainment 1.000
3. Health and survival 0.980
4. Political empowerment 1.000
Sum 3.980

Gender Gap Index: 3.98 / 4 = 0.9949

This is the upper limiting value of the Gender Gap Index for the female-to-male ratio and for the male-to-female ratio.

Criticisms and challenges

[edit]
Cover of the 2008 report

The index is designed to "measure gender-based gaps in access to resources and opportunities in countries rather than the actual level of the available resources and opportunities in those countries."[18]

In an academic publication from 2010, Beneria and Permanyer criticized the Global Gender Gap Index for only capturing inequality in certain aspects of women's lives therefore making it an incomplete measure of gender inequality.[24]

In an academic publication from 2019, Stoet and Geary discussed several limitations of the index. For example, in the current ranking methodology, no country can, by definition, be more favorable for women than for men. This causes the index to undervalue issues that disproportionately affect men.[25] According to the Global Gender Gap Report 2021, the index does not penalize a country where women outperform men in certain aspects, and it considers that parity is achieved in life expectancy only if women live five years longer than men.[16]

See also

[edit]

Notes

[edit]

References

[edit]
[edit]
Revisions and contributorsEdit on WikipediaRead on Wikipedia

Global Gender Gap Report

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from Grokipedia
The Global Gender Gap Report is an annual publication by the World Economic Forum, first issued in 2006, that quantifies gender disparities by ranking 148 countries on a composite index spanning four subindexes: economic participation and opportunity (including labor force participation, wage equality, and professional leadership roles), educational attainment (access to basic and higher education), health and survival (sex ratio at birth and healthy life expectancy), and political empowerment (representation in parliament, ministerial positions, and head-of-state tenure).[1][2] The index calculates scores as the ratio of female-to-male achievements in outcome metrics, emphasizing relative gaps over absolute levels or input factors such as policy interventions, with a perfect score of 1 indicating parity and global averages hovering below 0.7 in recent editions.[3] While the report tracks incremental progress—such as near-parity in educational attainment worldwide, with education gaps nearly closed—it projects a timeline of 123 years for full closure of the overall gender gap from 2025, with economic participation and opportunity requiring 151 years, political empowerment 162 years, and persistent disparities in leadership roles; full global gender parity will not be achieved by 2070, 2075, or 2100 at current trends, attributing stagnation to uneven advances in economic and political domains amid economic uncertainties.[1][4] Notable for influencing international policy discussions on gender equity, the methodology has drawn criticism for potentially inflating rankings of low-development nations with narrow relative gaps but poor absolute outcomes, overlooking causal factors like cultural norms, biological differences in occupational choices, or male disadvantages in areas such as life expectancy and incarceration, thereby risking misallocation of reform efforts.[5][6]

Origins and Development

Inception in 2006

The World Economic Forum published the inaugural Global Gender Gap Report in 2006, introducing the Gender Gap Index as a standardized framework to quantify and benchmark disparities in gender-based access to resources and opportunities across countries.[7] This index built on a preliminary 2005 study by the Forum titled "Women’s Empowerment: Measuring the Global Gender Gap," but the 2006 edition formalized the methodology for annual tracking of relative gender gaps rather than absolute outcomes.[7] The creation of the report was driven by the recognition that persistent gender inequalities hinder economic competitiveness, with evidence indicating that women's increased workforce participation had contributed more to global growth in the preceding decade than the rise of major economies like China.[7] Proponents argued from economic first principles that excluding half the population from full productive engagement compromises national potential, as "countries that do not capitalize on the full potential of one half of their human resources may compromise their competitive potential."[7] This perspective framed gender parity not merely as a social or moral issue but as an imperative for boosting productivity and GDP through broader human capital utilization, independent of overall development levels.[7] The initial 2006 index covered 115 countries, encompassing over 90% of the world's population, and assessed gaps across four unweighted dimensions: economic participation and opportunity, educational attainment, health and survival, and political empowerment.[7] By prioritizing relative performance—measuring the ratio of female-to-male outcomes within each country—the approach enabled cross-country comparisons without penalizing nations for lower absolute standards in basic metrics like literacy or life expectancy, thus focusing on parity achievable through policy rather than wealth-driven absolutes.[7] The methodology, developed in collaboration with faculty from Harvard University and London Business School, eschewed differential weighting among dimensions to maintain equal emphasis on each area of disparity.[7]

Evolution and Methodological Stability

The Global Gender Gap Report, initiated by the World Economic Forum in 2006, has maintained a consistent annual publication schedule, providing longitudinal data on gender disparities without notable interruptions or extended pauses.[8] This regularity enables direct comparability across editions, with the framework originating from collaborative efforts involving Harvard faculty to quantify gaps in outcomes between men and women.[7] Over the subsequent years, the report's scope expanded progressively to encompass a broader set of economies, reflecting improved data availability while adhering to the original outcome-oriented paradigm that prioritizes relative parity in measurable achievements rather than inputs or policies.[2] Methodological refinements have been minimal and incremental, preserving the index's foundational structure since 2006, which benchmarks disparities across four subindexes: economic participation and opportunity, educational attainment, health and survival, and political empowerment.[9] Adjustments have primarily addressed practical data challenges, such as enhanced imputation techniques for missing values derived from international datasets like the International Labour Organization and World Health Organization, ensuring robustness without altering the core scoring logic or equality assumptions.[1] This stability contrasts with more volatile indices in social metrics, allowing the report to track persistent patterns in gender outcomes over nearly two decades, though critics note the fixed paradigm may overlook causal factors like cultural or biological influences on observed gaps.[10] By the 2025 edition, coverage extended to 148 economies, up from initial assessments of around 115 countries in 2006, with the global score indicating 68.8% closure of the gender gap under the unchanged metrics.[1] This evolution underscores a deliberate emphasis on continuity, enabling policymakers to reference a stable benchmark for parity progress, even as external shocks like the COVID-19 pandemic influenced data collection without prompting fundamental redesigns.[11] The retention of the outcome-equality focus—measuring ratios of female-to-male achievements—has facilitated trend analysis but also drawn scrutiny for potentially conflating correlation with causation in gender differences.[2]

Index Framework

Core Subindexes and Indicators

The Global Gender Gap Index is structured around four core subindexes that assess relative gender parity across distinct dimensions of societal participation and outcomes. These subindexes—Economic Participation and Opportunity, Educational Attainment, Health and Survival, and Political Empowerment—each comprise specific indicators drawn from international datasets, prioritizing hard data such as official statistics from organizations like the International Labour Organization (ILO) and UNESCO, with estimates used only where primary data is unavailable.[12][13] The methodology emphasizes measuring gaps rather than absolute levels, capping scores at parity to avoid penalizing instances where females outperform males, such as in educational enrollment or longevity.[13] Economic Participation and Opportunity evaluates disparities in workforce involvement and rewards. Key indicators include the labor-force participation rate, expressed as a percentage from ILOSTAT data; wage equality for similar work, assessed on a 1-7 scale via executive opinion surveys; estimated earned income in international dollars, derived from ILO, IMF, and World Bank sources; the proportion of legislators, senior officials, and managers; and the share of professional and technical workers, both from ILOSTAT.[12] These metrics capture both access to employment and vertical mobility in professional hierarchies.[13] Educational Attainment measures access to and completion of education levels. Indicators consist of literacy rates from UNESCO and UNDP data; gross enrollment ratios for primary education; enrollment in secondary education; and enrollment in tertiary education, all sourced from UNESCO's UIS.Stat database.[12] The subindex focuses on parity in educational opportunities without deducting for female overrepresentation in higher attainment areas.[13] Health and Survival addresses biological and survival outcomes. It includes the sex ratio at birth, benchmarked against a natural parity of approximately 0.944 males per female using World Bank data, and healthy life expectancy in years from WHO statistics, with an adjustment for the biological female advantage averaging 1.06.[12][13] These indicators detect distortions like sex-selective practices while recognizing inherent sex differences in longevity.[13] Political Empowerment gauges representation in governance. Indicators are the percentage of women in parliament from Inter-Parliamentary Union data; the share of women in ministerial positions from UN Women sources; and the ratio of years with female versus male heads of state over the past 50 years, calculated by the World Economic Forum.[12] This subindex highlights parity in legislative, executive, and leadership tenure without capping female overrepresentation.[13]

Computation and Scoring Mechanics

The Global Gender Gap Index computes scores for individual indicators as the ratio of female achievement to male achievement in each relevant metric, where a score of 1 signifies parity and deviations below 1 indicate the relative gender gap.[10] For instance, the female-to-male ratio in ministerial positions is derived directly from the proportion of women relative to men, yielding values such as 0.25 for 20% female representation assuming 80% male.[12] Scores exceeding 1 are truncated to 1 to focus strictly on gaps rather than absolute advantages, emphasizing relative parity over outcomes where one sex outperforms the other in isolation.[10] Subindex scores—spanning Economic Participation and Opportunity, Educational Attainment, Health and Survival, and Political Empowerment—are calculated as weighted averages of their constituent indicators, with weights assigned inversely proportional to each indicator's standard deviation across countries to normalize contributions and prevent high-variability metrics from disproportionately influencing the result.[12] This approach equalizes the impact of indicators within a subindex, such as labor force participation (weight approximately 0.199) versus wage equality for similar work. The four subindexes receive equal weighting in the overall index computation, which employs a geometric mean rather than an arithmetic average to penalize imbalances across dimensions and reflect the multiplicative nature of parity achievement.[10][12] This method assumes no inherent trade-offs or varying societal priorities among subindexes, treating economic, educational, health, and political gaps as comparably essential despite potential causal interdependencies or contextual differences in importance. Data for indicators are drawn primarily from verifiable international sources, including the International Labour Organization (ILO) for labor metrics, UNESCO for education statistics, the World Health Organization (WHO) for survival data, the Inter-Parliamentary Union (IPU) for political representation, and supplementary inputs from the World Bank, IMF, and WEF Executive Opinion Survey.[12] Countries must provide data for at least 12 of the 14 core indicators using the most recent available figures (typically within the last 10 years), with inclusion conditional on sufficient coverage to ensure reliability.[10] Missing values are addressed through targeted imputation, such as ILO estimates for labor gaps or assumptions like full literacy parity in advanced economies where data is absent, rather than broad regression models or regional averages, to maintain focus on empirical verifiability while minimizing extrapolation bias.[12]

Constraints and Upper Bounds

The Global Gender Gap Index imposes upper bounds on scores through truncation mechanisms and biological benchmarks, ensuring no economy achieves a perfect 1.0 rating across all subindexes. In the Political Empowerment subindex, indicators such as parliamentary seats and ministerial positions are scored using the ratio of female to male representation (% women / % men), capped at 1.0 when women comprise 50% or more; deviations below 50% female representation yield scores less than 1.0, interpreting underrepresentation of women as a gap irrespective of electoral dynamics or voter preferences for greater male participation.[14] This design assumes outcome parity requires at least equal female presence, with no penalty for female majorities (e.g., Mexico and Nicaragua score 1.0 for 100% female parliamentary representation) but no additional credit beyond the cap.[10] The years-with-female-head-of-state indicator similarly computes the ratio of years held by females to males over the prior 50 years, truncated at 1.0, limiting scores to historical symmetry without accounting for exogenous factors influencing tenure lengths.[14] In the Health and Survival subindex, theoretical maximums fall below 1.0 due to embedded biological norms: the sex ratio at birth indicator benchmarks against a natural female-to-male ratio of 0.944, yielding a weighted subindex ceiling of approximately 0.9796 even under ideal conditions, as it normalizes deviations from this asymmetry rather than enforcing strict 1:1 equivalence. Healthy life expectancy follows a female-to-male ratio benchmark of 1.06, reflecting average female longevity advantages, with scores truncated at 1.0 but constrained by real-world variances from this norm.[14][10] These constraints embed assumptions of adjustable symmetry, overlooking inherent biological disparities (e.g., natal sex ratios) and volitional choices (e.g., political selections), resulting in no economy reaching full parity; leading performers like Iceland achieve overall scores around 0.90, limited by incomplete political closure (globally 22.9% in 2025) and the health subindex's structural ceiling.[14][1] This perpetuates perceptions of unattainability, as caps preclude scores exceeding defined parity thresholds despite potential overperformance in female-favoring metrics.[10]

Empirical Findings and Trends

Aggregate Global Progress

The Global Gender Gap Index, as computed by the World Economic Forum, began tracking aggregate progress in 2006 across an initial set of 115 economies, with a worldwide score of 64.1% of the gender gap closed.[14] Over the subsequent 19 editions, the index has expanded coverage while documenting incremental global advancements, reaching 68.8% closure in 2025 across 148 economies—a net gain of approximately 4.7 percentage points.[1] This trajectory reflects modest annual improvements averaging less than 0.3 percentage points, with accelerations in certain periods offset by plateaus amid economic disruptions, underscoring a persistent overall gap exceeding 31%.[11] Disparities in progress across the index's four subindexes highlight uneven closure rates. Educational Attainment has advanced most rapidly, nearing parity at 95.7% to 97.2% closed by 2025, up 4.9 to 6.4 percentage points since 2006, driven by widespread access to primary and secondary schooling and rising female tertiary enrollment in many regions.[14] In contrast, Economic Participation and Opportunity remains at around 60.7% closed, with stagnation in wage equality and labor force involvement, while Political Empowerment lags farthest at 23% closed despite a 9-percentage-point gain, hampered by low female representation in legislative and executive roles.[1] Health and Survival holds steady near 96% closure, with minimal variation over time.[14] These patterns suggest that while targeted policies, such as expanded schooling mandates, have contributed to educational gains, broader causal factors—including technological advancements in information access and economic growth enabling voluntary female participation—play significant roles independent of quota-driven interventions.[1] The slower pace in economic and political domains points to entrenched structural barriers, like occupational segregation and cultural norms around leadership, which resist policy fixes alone and require accounting for selection effects and incentives in causal assessments.[14] At current rates, full global parity remains projected over a century away, emphasizing the limits of observed trends. While realistic forecasts under current trends indicate that gaps in women's leadership and wealth accumulation will persist, optimistic scenarios such as the SSP1 sustainability pathway project substantial progress toward gender equality by 2100, including reduced inequalities in power and wealth.[15][16]

Recent 2025 Edition Insights

The 2025 edition of the Global Gender Gap Report, published by the World Economic Forum on June 11, assesses gender parity across 148 economies, recording a global score of 68.8% of the gap closed, an increase of 0.3 percentage points from 68.4% in 2024.[17] For the consistent sample of 100 economies tracked since 2006, the score reached 69.0%, up 0.4 points from the prior year.[17] At the current rate of progress, full gender parity is projected to take another 123 years, implying the gap remains open beyond 2100, though the report provides no specific projected gender gap scores for 2050 or 2100.[17] Subindex analysis reveals persistent imbalances, with educational attainment at 95.1% closed and health and survival at 96.2% closed, indicating near-parity in access to basic attainments and survival outcomes.[17] In contrast, economic participation and opportunity stands at 61.0% closed, reflecting ongoing disparities in labor force participation, wage equality, and leadership roles, while political empowerment lags farthest at 22.9% closed, driven by underrepresentation in parliamentary seats, ministerial positions, and head-of-state roles.[17] Iceland topped the rankings with a score of 92.6%, followed by other Nordic nations including Finland (87.9%), Norway (86.3%), and Sweden (81.7%), which benefit from strong performances across economic and political dimensions.[17] The Middle East and North Africa region recorded the lowest aggregate score at 61.7%, underscoring regional challenges in closing economic and political gaps despite some advances in education and health.[17] These 2025 findings highlight incremental global momentum, particularly in political empowerment, amid broader economic uncertainties.[17]

Cross-Country Variations and Examples

Iceland topped the Global Gender Gap Index in the 2025 edition with a score of 92.6%, maintaining its position for the 16th consecutive year, largely attributable to near-parity in political empowerment, including 48% female representation in parliament and multiple female heads of government over the past five decades. Projections from the 2018 edition forecasted Iceland, along with Nicaragua and France, achieving full gender parity by 2050, contrasting with the global trajectory estimated to require 123 more years in the 2025 report.[11] [18] [19] In contrast, Yemen has consistently ranked at or near the bottom, scoring below 50% overall in recent assessments, with subindex scores as low as 0.12 in political empowerment due to legal prohibitions on women's public office-holding and minimal parliamentary representation (under 1%).[20] [21] Counterintuitive patterns emerge in the health and survival subindex, where countries like China and India incur score penalties for skewed sex ratios at birth—China's ratio stood at approximately 112 males per 100 females in recent years, reflecting historical practices of sex-selective abortion—despite women outperforming men in healthy life expectancy by 3-5 years on average.[10] [22] China's subindex score improved from 94.0% to 94.7% following modest corrections in birth ratios, illustrating how this indicator weights neonatal outcomes over longevity disparities.[10] In economic participation, cross-country data reveal persistent gaps influenced by empirical differences in occupational distribution; for instance, men comprise over 90% of workers in high-risk sectors like mining and construction globally, correlating with higher male labor force participation rates in those fields, as evidenced by International Labour Organization statistics from 2023 showing men accounting for 92% of occupational fatalities. Such patterns contribute to variances in parity scores, with Nordic leaders like Iceland achieving 80%+ closure in this subindex through balanced professional and technical employment, while low-rankers like Yemen score under 20% amid barriers to female workforce entry exceeding 70% non-participation rates.[11] [23]

Analytical Critiques

Flaws in Outcome-Based Assumptions

The Global Gender Gap Index evaluates parity by measuring outcome ratios across subindexes like economic participation (e.g., labor force participation rates, wage equality for similar work) and political empowerment (e.g., proportion of parliamentary seats held by women), aiming for a score of 1.00 where male and female outcomes align identically.[1] This framework presupposes that deviations from parity signal inequality, equating statistical uniformity with equity while sidelining non-discriminatory explanations such as differing individual preferences, risk tolerances, and biological predispositions that influence career and life choices.[24] Cross-cultural studies of vocational interests reveal robust sex differences, with men exhibiting stronger preferences for systemizing activities (e.g., engineering, mechanics) and women for empathizing ones (e.g., social work, healthcare), evidenced by meta-analyses showing large effect sizes (Cohen's d ≈ 0.84–1.17) consistent across 57 countries and decades of data.[25] [26] These patterns persist and often amplify in high-equality nations, as per the gender-equality paradox: Stoet and Geary's analysis of PISA assessments from 67 countries found that women's share of STEM degrees inversely correlates with national gender equality, dropping to under 20% in Nordic countries despite maximal access and minimal barriers—contradicting the notion that gaps stem primarily from systemic discrimination. Such evidence supports causal realism, wherein freer choice environments allow innate variances in interests and abilities to manifest, rather than converging toward 50/50 parity as the index assumes.[27] The report's outcome-centric lens further errs by inferring causation from correlation, attributing persistent disparities (e.g., under 25% female CEOs globally in 2023) to bias without accounting for voluntary factors like women's greater selectivity in high-risk roles or sex differences in competitiveness and spatial cognition linked to prenatal testosterone exposure.[24] [1] Compounding this, the methodology asymmetrically caps scores at 1.00 when female outcomes exceed male ones—such as in tertiary enrollment, where women outnumber men in 139 countries per UNESCO 2023 data—treating surpluses as non-issues while deficits indicate shortfall, thus embedding a directional bias that undermines claims of neutral parity measurement.[1] This overlooks reciprocal imbalances, like male underrepresentation in education fields, and privileges convergence over understanding disparate equilibria driven by evolved sex differences.

Empirical and Causal Limitations

The Global Gender Gap Index incorporates estimates and imputations for indicators lacking complete primary data, such as in estimated earned income and labor force participation, where methodologies apply averages or proxies from national statistics or surveys like the ILO's, potentially skewing results by failing to capture sector-specific factors like risk premiums in male-heavy industries such as mining or construction.[13] This approach, while necessary for coverage across 148 economies, risks inaccuracy, as imputed values do not always adjust for unobservable variables like occupational hazards that inflate wages in fields where men predominate and face elevated injury risks. The index's health and survival subindex prioritizes sex ratio at birth and healthy life expectancy, metrics where gaps slightly favor males at birth but narrow over time, yet it excludes male disadvantages in mortality domains such as suicide rates, which are approximately three times higher for men globally, and occupational fatalities, comprising over 90% male victims according to ILO data. These omissions frame gender gaps unidirectionally, without quantifying or advocating closure for male-specific vulnerabilities like war-related deaths or higher overall life-risk exposures, despite empirical evidence of persistent disparities.[28] Causally, the index infers progress toward parity from observed gaps without controlling for confounders, such as women's fertility decisions and family caregiving preferences that voluntarily reduce workforce attachment; econometric analyses indicate these choices explain substantial portions of participation differentials, independent of discriminatory barriers.[29] Similarly, economic subindex scores attribute wage and leadership gaps to systemic issues without isolating endogenous factors like selection into high-variance careers, where male overrepresentation reflects risk tolerance rather than exclusionary practices. Projections of time to full parity, such as the 123 years cited in the 2025 edition, rely on linear extrapolation of historical closure rates across subindexes, assuming constant velocity absent evidence for sustained trends amid demographic shifts, policy reversals, or economic disruptions that historically nonlinearize gender metrics.[14] This method overlooks regression potentials, as seen in stalled educational attainment gains in advanced economies where female advantages have plateaued or reversed in certain fields.[30]

Broader Interpretive Debates

Proponents of the Global Gender Gap Report, including the World Economic Forum and affiliated NGOs, contend that the index serves as a vital benchmarking tool to track progress toward gender parity and incentivize policy reforms that enhance economic growth. They argue that by highlighting disparities in economic participation, education, health, and political empowerment, the report has contributed to tangible advancements, such as near-universal educational attainment for girls in many developing economies, which in turn supports broader productivity gains.[31][15] Critics, including economists and researchers in behavioral biology, challenge the report's interpretive framework for prioritizing outcome equalization through interventions like quotas, which they argue undermines merit-based systems and ignores evidence of innate sex differences in occupational preferences. Studies document that in highly gender-equal societies, such as Nordic countries, gender gaps in career choices—particularly women's lower representation in STEM and "things-oriented" fields—persist or widen despite egalitarian policies, suggesting these patterns reflect evolved interests rather than discrimination.[32][33][34] Empirical analyses of quota implementations indicate reduced perceived competence for quota-selected individuals and potential efficiency losses in decision-making bodies, as selection shifts from pure ability to demographic targets.[35][36] Perspectives emphasizing causal realism, often aligned with conservative or biologically informed viewpoints, assert that the report overlooks robust evidence from cross-cultural and longitudinal data showing sex-linked preferences—men gravitating toward systemizing roles and women toward people-oriented ones—as primary drivers of disparities, rather than systemic barriers alone. These critics highlight the report's reticence on affirmative action's downstream effects, including heightened workplace resentment and suboptimal resource allocation, which counteract long-term incentives for individual achievement.[37][26] Such interpretations prioritize interventions respecting voluntary choices and biological realities over enforced parity, arguing that ignoring them perpetuates misattribution of gaps to modifiable social factors.[38]

References

  1. Global Gender Gap Report 2025 - The World Economic Forum
  2. Global Gender Gap Report - The World Economic Forum
  3. Appendix B The Global Gender Gap Index: Methodology and ...
  4. Global Gender Gap Report 2024 - The World Economic Forum
  5. Problems with The Global Gender Gap Report - Erik Gahner Larsen
  6. Why does The Global Gender Gap Report ignore gender ... - Quora
  7. [PDF] The Global Gender Gap Report 2006
  8. The Global Gender Gap Report 2006 - The World Economic Forum
  9. [PDF] Global Gender Gap Report 2020 | Roche
  10. Global Gender Gap Report 2025 - The World Economic Forum
  11. Global Gender Gap Report 2025 - The World Economic Forum
  12. Appendix B - Global Gender Gap Report 2025
  13. [PDF] Global Gender Gap 2024 - World Economic Forum: Publications
  14. [PDF] Global Gender Gap Report 2025
  15. Global Gender Gap Report 2025: Progress despite uncertainty
  16. Key Findings - Global Gender Gap Report 2025
  17. The world's most gender-equal countries - BBC
  18. [PDF] Yemen comes last in Global Gender Gap report for the third year in a ...
  19. [PDF] Yemen: Gender dynamics, roles, and needs - ACAPS
  20. Sex-selective abortions over the past four decades in China
  21. Gender Equality - Yemen - United Nations Development Programme
  22. The World Economic Forum and the Misleading Politics of Gender ...
  23. Gender Differences in Vocational Interests Across 57 Countries
  24. Things versus People: Gender Differences in Vocational Interests ...
  25. (PDF) The Gender-Equality Paradox in Science, Technology ...
  26. The WEF's Gender Disinformation Campaign - Quillette
  27. [PDF] Globalization, Gender, and the Family
  28. When Will Global Gender Gaps Close? in - IMF eLibrary
  29. Yes, we still need to measure the global gender gap — here's why
  30. The Nordic Glass Ceiling | Cato Institute
  31. Sex differences and occupational choice Theorizing for policy ...
  32. The 'paradox' of working in the world's most equal countries - BBC
  33. What are the positive and negative side effects of gender quotas?
  34. [PDF] Gender Quotas and Efficiency - ifo Institut
  35. Straight Talk About Sex Differences in Occupational Choices and ...
  36. "Biological Sex Differences in the Workplace: Reports of the End of ...
  37. Nicaragua, France and Iceland are set to be the first countries to close their gender gaps
  38. Overcoming gender inequality for climate resilient development
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