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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]

Cover of the 2008 report

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 exactly 131 years for the gender gap to close.[3][4]

Methodology

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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 to gauge the state of gender equality in a country.

The report examines four overall areas of inequality between men and women in 146 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 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]

Upper limiting value of the Gender Gap Index

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1. Economic participation and opportunity
Ratio Limit[7] Weight[8] 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[7] Weight[8] 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[7] Weight[8] Value
Sex ratio at birth 0.944[9] 0.693 0.654
Healthy life expectancy 1.060[10] 0.307 0.325
Sum 1.0 0.980
4. Political empowerment
Ratio Limit[7] Weight[8] 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 (limes superior) for the female-to-male ratio and for the male-to-female ratio.

WEF Global Gender Gap Index rankings

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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[11]) and the lowest possible score is 0. Data for some countries are unavailable.[12][13][14] 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.

 
Global Gender Gap Report 2020
Location Year [note 1]
Country Region 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015[15] 2016[16] 2017 2018 2020[17] 2021[18] 2022
  Afghanistan South Asia 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 0.444 0.435
  Albania Europe 0.6607 0.6685 0.6591 0.6601 0.6726 0.6748 0.6655 0.6412 0.6869 0.701 0.704 0.728 0.734 0.769 0.770 0.787
  Algeria Africa 0.6018 0.6068 0.6111 0.6119 0.6052 0.5991 0.6112 0.5966 0.6182 0.632 0.642 0.629 0.629 0.634 0.633 0.602
  Angola Africa 0.6039 0.6034 0.6032 0.6353 0.6712 0.6624 N/A 0.6659 0.6311 0.637 0.643 0.640 0.633 0.660 0.657 0.638
  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 0.732 0.733 0.746 0.752 0.756
  Armenia West Asia N/A 0.6651 0.6677 0.6619 0.6669 0.6654 0.6636 0.6634 0.6622 0.668 0.669 0.677 0.678 0.684 0.673 0.698
  Australia Oceania 0.7163 0.7204 0.7241 0.7282 0.7271 0.7291 0.7294 0.7390 0.7409 0.733 0.721 0.731 0.730 0.731 0.731 0.738
  Austria Europe 0.6986 0.7060 0.7153 0.7031 0.7091 0.7165 0.7391 0.7437 0.7266 0.733 0.716 0.709 0.718 0.744 0.777 0.781
  Azerbaijan West Asia N/A 0.6781 0.6856 0.6626 0.6446 0.6577 0.6546 0.6582 0.6753 0.675 0.684 0.676 0.680 0.687 0.688 0.687
  Bahamas Central America N/A N/A N/A 0.7179 0.7128 0.7340 0.7156 0.7128 0.7269 0.728 0.729 0.743 0.741 0.720 0.725 N/A
  Bahrain West Asia 0.5894 0.5931 0.5927 0.6136 0.6217 0.6232 0.6298 0.6334 0.6261 0.644 0.615 0.632 0.627 0.629 0.632 0.632
  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 0.719 0.721 0.726 0.719 0.714
  Barbados Central America N/A N/A 0.7188 0.7236 0.7176 0.7170 0.7232 0.7301 0.7289 0.744 0.739 0.750 0.753 0.749 0.769 0.765
  Belarus Europe N/A N/A N/A N/A N/A N/A N/A N/A N/A 0.734 0.737 0.744 0.747 0.746 0.758 0.750
  Belgium Europe 0.7078 0.7198 0.7163 0.7165 0.7509 0.7531 0.7652 0.7684 0.7809 0.753 0.745 0.739 0.738 0.750 0.789 0.793
  Belize Central America N/A 0.6426 0.6610 0.6636 0.6536 0.6489 0.6465 0.6449 0.6701 0.668 0.676 0.692 0.662 0.671 0.699 0.695
  Benin Africa 0.5780 0.5656 0.5582 0.5643 0.5719 0.5832 0.6258 0.5885 N/A 0.625 0.636 0.652 0.654 0.658 0.653 0.612
  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 0.638 0.638 0.635 0.639 0.637
  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 0.758 0.748 0.734 0.722 0.734
  Bosnia and Herzegovina Europe 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 0.713 0.710
  Botswana Africa 0.6897 0.6797 0.6839 0.7071 0.6876 0.6832 0.6744 0.6752 0.7129 0.710 0.715 0.720 0.715 0.709 0.716 0.719
  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 0.684 0.681 0.691 0.695 0.696
  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 0.671 0.686 0.686 0.678 0.680
  Bulgaria Europe 0.6870 0.7085 0.7077 0.7072 0.6983 0.6987 0.7021 0.7097 0.7444 0.722 0.726 0.756 0.756 0.727 0.746 0.740
  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 0.646 0.629 0.635 0.651 0.659
  Burundi Africa N/A N/A N/A N/A N/A 0.7270 0.7338 0.7397 0.7565 0.748 0.768 0.755 0.741 0.745 0.769 0.777
  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 0.676 0.683 0.694 0.685 0.690
  Cameroon Africa 0.5865 0.5919 0.6017 0.6108 0.6110 0.6073 0.6291 0.6560 N/A 0.682 0.684 0.689 0.714 0.686 0.692 0.692
  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 0.769 0.771 0.772 0.772 0.772
  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 0.686 0.702 0.725 0.716 0.736
  Chad Africa 0.5247 0.5381 0.5290 0.5417 0.5330 0.5334 0.5594 0.5588 0.5764 0.580 0.587 0.575 0.580 0.596 0.593 0.579
  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 0.704 0.717 0.723 0.716 0.736
  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 0.674 0.673 0.676 0.682 0.682
  Colombia South America 0.7049 0.7090 0.6944 0.6939 0.6927 0.6714 0.6901 0.7171 0.7122 0.725 0.727 0.731 0.729 0.758 0.725 0.710
  Comoros Africa 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 0.631
  Costa Rica Central America 0.6936 0.7014 0.7111 0.7180 0.7194 0.7266 0.7225 0.7241 0.7165 0.732 0.736 0.727 0.749 0.782 0.786 0.796
  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 0.611 0.627 0.606 0.637 0.632
  Croatia Europe 0.7145 0.7210 0.6967 0.6944 0.6939 0.7006 0.7053 0.7069 0.7075 0.708 0.7 0.711 0.712 0.720 0.733 N/A
  Cuba Central America N/A 0.7169 0.7195 0.7176 0.7253 0.7394 0.7417 0.7540 0.7317 0.740 0.74 0.745 0.749 0.746 0.746 N/A
  Cyprus West Asia 0.6430 0.6522 0.6694 0.6706 0.6642 0.6567 0.6732 0.6801 0.6741 0.671 0.684 0.684 0.684 0.692 0.707 0.696
  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 0.688 0.693 0.706 0.711 0.710
  Democratic Republic of the Congo Africa 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 0.576 0.575
  Denmark Europe 0.7462 0.7519 0.7538 0.7628 0.7719 0.7778 0.7777 0.7779 0.8025 0.767 0.754 0.776 0.778 0.782 0.768 0.764
  Dominican Republic Central America 0.6639 0.6705 0.6744 0.6859 0.6774 0.6682 0.6659 0.6867 0.6906 0.686 0.676 0.697 0.701 0.700 0.699 0.703
  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 0.724 0.729 0.729 0.739 0.743
  Egypt Africa 0.5786 0.5809 0.5832 0.5862 0.5899 0.5933 0.5975 0.5935 0.6064 0.599 0.614 0.608 0.614 0.629 0.639 0.635
  El Salvador Central America 0.6837 0.6853 0.6875 0.6939 0.6596 0.6567 0.6630 0.6609 0.6863 0.706 0.702 0.705 0.690 0.706 0.738 0.727
  Estonia Europe 0.6944 0.7008 0.7076 0.7094 0.7018 0.6983 0.6977 0.6997 0.7017 0.749 0.747 0.731 0.734 0.751 0.733 0.733
  Eswatini Africa N/A N/A N/A N/A N/A N/A N/A N/A N/A 0.670 0.665 0.670 N/A N/A 0.729 0.728
  Ethiopia Africa 0.5946 0.5991 0.5867 0.5948 0.6019 0.6136 0.6200 0.6198 0.6144 0.640 0.662 0.656 0.656 0.705 0.691 0.710
  Fiji Oceania N/A N/A N/A 0.6414 0.6256 0.6255 0.6285 0.6286 0.6286 0.645 N/A N/A 0.669 0.678 0.674 0.676
  Finland Europe 0.7958 0.8044 0.8195 0.8252 0.8260 0.8383 0.8451 0.8421 0.8453 0.850 0.845 0.823 0.821 0.832 0.861 0.860
  France Europe 0.6520 0.6824 0.7341 0.7331 0.7025 0.7018 0.6984 0.7089 0.7588 0.761 0.755 0.778 0.779 0.781 0.784 0.791
  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 0.649 0.642 0.628 0.644 0.641
  Georgia West Asia 0.6700 0.6665 0.6654 0.6680 0.6598 0.6624 0.6691 0.6750 0.6855 0.687 0.681 0.679 0.677 0.708 0.732 0.731
  Germany Europe 0.7524 0.7618 0.7394 0.7449 0.7530 0.7590 0.7629 0.7583 0.7780 0.779 0.766 0.778 0.776 0.787 0.796 0.801
  Ghana Africa 0.6653 0.6725 0.6679 0.6704 0.6782 0.6811 0.6778 0.6811 0.6661 0.704 0.705 0.695 0.688 0.673 0.666 0.672
  Greece Europe 0.6540 0.6648 0.6727 0.6662 0.6908 0.6916 0.6716 0.6782 0.6784 0.685 0.68 0.692 0.696 0.701 0.689 0.689
  Guatemala Central America 0.6067 0.6144 0.6072 0.6209 0.6238 0.6229 0.6260 0.6304 0.6821 0.667 0.666 0.667 0.668 0.666 0.655 0.664
  Guinea Africa N/A N/A N/A N/A N/A N/A N/A N/A N/A 0.618 0.64 0.659 0.656 0.642 0.660 0.647
  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 N/A N/A N/A 0.728 0.752
  Honduras Central America 0.6483 0.6661 0.6960 0.6893 0.6927 0.6945 0.6763 0.6773 0.6935 0.688 0.69 0.711 0.706 0.722 0.716 0.705
  Hungary Europe 0.6698 0.6731 0.6867 0.6879 0.6720 0.6642 0.6718 0.6742 0.6759 0.672 0.669 0.670 0.674 0.677 0.688 0.699
  Iceland Europe 0.7813 0.7836 0.7999 0.8276 0.8496 0.8530 0.8640 0.8731 0.8594 0.881 0.874 0.878 0.858 0.877 0.892 0.908
  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 0.669 0.665 0.668 0.625 0.629
  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 0.691 0.691 0.700 0.688 0.697
  Iran West Asia 0.5803 0.5903 0.6021 0.5839 0.5933 0.5894 0.5927 0.5842 0.5811 0.580 0.587 0.583 0.589 0.584 0.582 0.576
  Iraq West Asia 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 0.535 N/A
  Ireland Europe 0.7335 0.7457 0.7518 0.7597 0.7773 0.7830 0.7839 0.7823 0.7850 0.807 0.797 0.794 0.796 0.798 0.800 0.804
  Israel West Asia 0.6889 0.6965 0.6900 0.7019 0.6957 0.6926 0.6989 0.7032 0.7005 0.712 0.719 0.721 0.722 0.718 0.724 0.727
  Italy Europe 0.6456 0.6498 0.6788 0.6798 0.6765 0.6796 0.6729 0.6885 0.6973 0.726 0.719 0.692 0.706 0.707 0.721 0.720
  Jamaica Central America 0.7014 0.6925 0.6980 0.7013 0.7037 0.7028 0.7035 0.7085 0.7128 0.703 0.724 0.717 0.724 0.735 0.741 0.749
  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 0.657 0.662 0.652 0.656 0.650
  Jordan West Asia 0.6109 0.6203 0.6275 0.6182 0.6048 0.6117 0.6103 0.6093 0.5968 0.593 0.603 0.604 0.605 0.623 0.683 0.639
  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 0.713 0.712 0.710 0.710 0.719
  Kenya Africa 0.6486 0.6508 0.6547 0.6512 0.6499 0.6493 0.6768 0.6803 0.7258 0.719 0.702 0.694 0.700 0.671 0.692 0.729
  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 0.650 0.657 0.672 0.687 0.689
  Kuwait West Asia 0.6341 0.6409 0.6358 0.6356 0.6318 0.6322 0.6320 0.6292 0.6457 0.646 0.624 0.679 0.630 0.650 0.621 0.632
  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 0.691 0.691 0.689 0.681 0.700
  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 0.703 0.748 0.731 0.750 0.733
  Latvia Europe 0.7091 0.7333 0.7397 0.7416 0.7429 0.7399 0.7572 0.7610 0.7691 0.752 0.755 0.756 0.758 0.785 0.778 0.771
  Lebanon West Asia N/A N/A N/A N/A 0.6084 0.6083 0.6030 0.6028 0.5923 0.598 0.598 0.596 0.595 0.599 0.638 0.644
  Lesotho Africa 0.6807 0.7078 0.7320 0.7495 0.7678 0.7666 0.7608 0.7530 0.7255 0.706 0.706 0.695 0.693 0.695 0.698 0.700
  Liberia Africa N/A N/A N/A N/A N/A N/A N/A N/A N/A 0.652 0.652 0.669 0.681 0.685 0.693 0.709
  Lithuania Europe 0.7077 0.7234 0.7222 0.7175 0.7132 0.7131 0.7191 0.7308 0.7208 0.740 0.744 0.742 0.749 0.745 0.804 0.799
  Luxembourg Europe 0.6671 0.6786 0.6802 0.6889 0.7231 0.7216 0.7439 0.7410 0.7333 0.738 0.734 0.706 0.712 0.725 0.726 0.736
  North Macedonia Europe 0.6983 0.6967 0.6914 0.6950 0.6996 0.6966 0.6968 0.7013 0.6943 0.701 0.696 0.702 0.707 0.711 0.715 0.716
  Madagascar Africa 0.6385 0.6461 0.6736 0.6732 0.6713 0.6797 0.6982 0.7016 0.7214 0.698 0.704 0.692 0.691 0.719 0.725 0.735
  Malawi Africa 0.6437 0.6480 0.6664 0.6738 0.6824 0.6850 0.7166 0.7139 0.7281 0.701 0.7 0.672 0.662 0.664 0.671 0.632
  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 0.670 0.676 0.677 0.676 0.681
  Maldives South Asia N/A 0.6350 0.6501 0.6482 0.6452 0.6480 0.6616 0.6604 0.6557 0.652 .65 0.669 0.662 0.646 0.642 0.648
  Mali Africa 0.5996 0.6019 0.6117 0.5860 0.5680 0.5752 0.5842 0.5872 0.5779 0.599 0.591 0.583 0.582 0.621 0.591 0.601
  Malta Europe 0.6518 0.6615 0.6634 0.6635 0.6695 0.6658 0.6666 0.6761 0.6707 0.668 0.664 0.682 0.686 0.693 0.703 0.703
  Mauritania Africa 0.5835 0.6022 0.6117 0.6103 0.6152 0.6164 0.6129 0.5810 0.6029 0.613 0.624 0.614 0.607 0.614 0.606 N/A
  Mauritius Africa 0.6328 0.6487 0.6466 0.6513 0.6520 0.6529 0.6547 0.6599 0.6541 0.646 0.652 0.664 0.663 0.665 0.679 0.679
  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 0.692 0.721 0.754 0.757 0.764
  Moldova Europe 0.7128 0.7172 0.7244 0.7104 0.7160 0.7083 0.7101 0.7037 0.7405 0.742 0.741 0.740 0.733 0.757 0.768 0.788
  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 0.713 0.714 0.706 0.716 0.715
  Montenegro Europe N/A N/A N/A N/A N/A N/A N/A N/A N/A 0.689 0.681 0.693 0.706 0.710 0.732 0.732
  Morocco Africa 0.5827 0.5676 0.5757 0.5926 0.5767 0.5804 0.5833 0.5845 0.5988 0.593 0.597 0.598 0.607 0.605 0.612 0.624
  Mozambique Africa N/A 0.6883 0.7266 0.7195 0.7329 0.7251 0.7350 0.7349 0.7370 0.741 0.75 0.741 0.721 0.723 0.758 0.752
  Myanmar Southeast Asia N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0.691 0.690 0.665 0.681 0.677
  Namibia Africa 0.6864 0.7012 0.7141 0.7167 0.7238 0.7177 0.7121 0.7094 0.7219 0.760 0.765 0.777 0.789 0.784 0.809 0.807
    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 0.664 0.671 0.680 0.683 0.692
  Netherlands Europe 0.7250 0.7383 0.7399 0.7490 0.7444 0.7470 0.7659 0.7608 0.7730 0.776 0.756 0.737 0.747 0.736 0.762 0.767
  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 0.791 0.801 0.799 0.840 0.841
  Nicaragua Central America 0.6566 0.6458 0.6747 0.7002 0.7176 0.7245 0.7697 0.7715 0.7894 0.776 0.78 0.814 0.809 0.804 0.796 0.810
  Niger Africa 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 0.629 0.635
  Nigeria Africa 0.6104 0.6122 0.6339 0.6280 0.6055 0.6011 0.6315 0.6469 0.6391 0.638 0.643 0.641 0.621 0.635 0.627 0.639
  Norway Europe 0.7994 0.8059 0.8239 0.8227 0.8404 0.8404 0.8403 0.8417 0.8374 0.850 0.842 0.830 0.835 0.842 0.849 0.845
  Oman West Asia N/A 0.5903 0.5960 0.5938 0.5950 0.5873 0.5986 0.6053 0.6091 0.604 0.612 N/A 0.605 0.602 0.608 0.609
  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 0.546 0.550 0.564 0.556 0.564
  Panama Central America 0.6935 0.6954 0.7095 0.7024 0.7072 0.7042 0.7122 0.7164 0.7195 0.772 0.721 0.722 0.722 0.730 0.737 0.743
  Papua New Guinea Oceania 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 0.635 N/A
  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 0.678 0.672 0.683 0.702 0.707
  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 0.719 0.720 0.714 0.721 0.749
  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 0.790 0.799 0.781 0.784 0.783
  Poland Europe 0.6802 0.6756 0.6951 0.6998 0.7037 0.7038 0.7015 0.7031 0.7051 0.715 0.727 0.728 0.728 0.736 0.713 0.709
  Portugal Europe 0.6922 0.6959 0.7051 0.7013 0.7171 0.7144 0.7071 0.7056 0.7243 0.731 0.737 0.734 0.732 0.744 0.775 0.766
  Qatar West Asia N/A 0.6041 0.5948 0.5907 0.6059 0.6230 0.6264 0.6299 0.6403 0.645 0.643 0.626 0.629 0.629 0.624 0.617
  Romania Europe 0.6797 0.6859 0.6763 0.6805 0.6826 0.6812 0.6859 0.6908 0.6936 0.693 0.69 0.708 0.711 0.724 0.700 0.698
  Russia Europe 0.6770 0.6866 0.6994 0.6987 0.7036 0.7037 0.6980 0.6983 0.6927 0.694 0.691 0.696 0.701 0.706 0.708 N/A
  Rwanda Africa N/A N/A N/A N/A N/A N/A N/A N/A N/A 0.794 0.8 0.822 0.804 0.791 0.805 0.811
  Saudi Arabia West Asia 0.5242 0.5647 0.5537 0.5651 0.5713 0.5753 0.5731 0.5879 0.6059 0.605 0.583 0.584 0.590 0.599 0.603 0.636
  Senegal Africa N/A N/A N/A 0.6427 0.6414 0.6573 0.6657 0.6923 0.6912 0.698 0.685 0.684 0.682 0.684 0.684 0.668
  Serbia Europe N/A N/A N/A N/A N/A N/A 0.7037 0.7116 0.7086 0.720 0.72 0.727 0.730 0.736 0.780 0.779
  Sierra Leone Africa 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 0.655 0.672
  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 0.702 0.707 0.724 0.727 0.734
  Slovakia Europe 0.6757 0.6797 0.6824 0.6845 0.6778 0.6797 0.6824 0.6857 0.6806 0.675 0.679 0.694 0.693 0.718 0.712 0.717
  Slovenia Europe 0.6745 0.6842 0.6937 0.6982 0.7047 0.7041 0.7132 0.7155 0.7443 0.784 0.786 0.805 0.784 0.743 0.741 0.744
  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 0.756 0.755 0.780 0.781 0.782
  Spain Europe 0.7319 0.7444 0.7281 0.7345 0.7554 0.7580 0.7266 0.7266 0.7325 0.742 0.738 0.746 0.746 0.795 0.788 0.788
  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 0.669 0.676 0.680 0.670 0.670
  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 0.689 0.695 0.707 0.729 0.737
  Sweden Europe 0.8133 0.8146 0.8139 0.8139 0.8024 0.8044 0.8159 0.8129 0.8165 0.823 0.815 0.816 0.822 0.820 0.823 0.822
   Switzerland Europe 0.6997 0.6924 0.7360 0.7426 0.7562 0.7627 0.7672 0.7736 0.7798 0.785 0.776 0.755 0.755 0.779 0.798 0.795
  Syria West Asia N/A 0.6216 0.6181 0.6072 0.5926 0.5896 0.5626 0.5661 0.5775 0.568 0.567 0.568 0.568 0.567 0.568 N/A
  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 0.678 0.638 0.626 0.650 0.663
  Tanzania Africa 0.7038 0.6969 0.7068 0.6797 0.6829 0.6904 0.7091 0.6928 0.7182 0.718 0.716 0.700 0.704 0.713 0.707 0.719
  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 0.694 0.702 0.708 0.710 0.709
  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 0.628 0.638 0.662 0.720 0.730
  Togo Africa 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 0.683 0.697
  Trinidad and Tobago Central America 0.6797 0.6859 0.7245 0.7298 0.7353 0.7372 0.7116 0.7166 0.7154 0.720 0.723 N/A N/A 0.756 0.749 N/A
  Tunisia Africa 0.6288 0.6283 0.6295 0.6233 0.6266 0.6255 N/A N/A 0.6272 0.634 0.636 0.651 0.648 0.644 0.649 0.643
  Turkey West Asia 0.5850 0.5768 0.5853 0.5828 0.5876 0.5954 0.6015 0.6081 0.6183 0.624 0.623 0.625 0.628 0.635 0.638 0.639
  Uganda Africa 0.6797 0.6833 0.6981 0.7067 0.7169 0.7220 0.7228 0.7086 0.6821 0.708 0.704 0.721 0.724 0.717 0.717 0.724
  Ukraine Europe 0.6797 0.6790 0.6856 0.6896 0.6869 0.6861 0.6894 0.6935 0.7056 0.702 0.7 0.705 0.708 0.721 0.714 0.707
  United Arab Emirates West Asia 0.5919 0.6184 0.6220 0.6198 0.6397 0.6454 0.6392 0.6372 0.6436 0.646 0.639 0.649 0.642 0.655 0.716 0.716
  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 0.770 0.744 0.767 0.775 0.780
  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 0.718 0.720 0.724 0.763 0.769
  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 0.710 0.715 0.737 0.702 0.711
  Vanuatu Oceania 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 0.625 0.670
  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 0.706 0.709 0.713 0.699 N/A
  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 0.698 0.698 0.700 0.701 0.705
  Yemen West Asia 0.4595 0.4510 0.4664 0.4609 0.4603 0.4873 0.5054 0.5128 0.5145 0.484 0.516 0.516 0.499 0.494 0.492 N/A
  Zambia Africa 0.6360 0.6288 0.6205 0.6310 0.6293 0.6300 0.6279 0.6312 0.6364 0.650 N/A N/A N/A 0.731 0.726 0.723
  Zimbabwe Africa 0.6461 0.6464 0.6485 0.6518 0.6574 0.6607 N/A N/A 0.7013 0.709 0.71 0.717 0.721 0.730 0.732 0.734

Criticisms and controversies

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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."[16]

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.[19]

In an academic publication from 2019, Stoet and Geary argued that the Global Gender Gap Index has limitations as a measure of gender equality, because of the way it caps scores and because it ignores specific issues on which men are known to fall behind (e.g., risks of working in hazardous jobs).[20] According to the Global Gender Gap Report 2021, the index do not penalize a country where women outperform men in certain aspect and consider that parity is achieved in life expectancy only if women live five years longer than men.[18]

See also

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Notes

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

References

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  1. ^ "Global Gender Gap Report 2017". Archived from the original on 2018-05-12. Retrieved 2018-05-11.
  2. ^ a b 2008 Report, p. 24
  3. ^ "Global Gender Gap Report 2023". World Economic Forum. Retrieved 2023-08-17.
  4. ^ "To fight climate change, more female leaders are fundamental". European Investment Bank. Retrieved 2023-08-17.
  5. ^ 2014 report, page 5
  6. ^ 2008 Report, p. 5
  7. ^ a b c d The Global Gender Gap Report 2018 (GGGR), p. 5, Construction of the Index, § 2. Data truncation at equality benchmark: As a second step, these ratios are truncated at the "equality benchmark”. For all indicators, except the two health indicators, this equality benchmark is considered to be 1, meaning equal numbers of women and men.
    GGGR 2018, p. 42, Country Score Card: … To calculate the Index, all ratios were truncated at the parity benchmark of 1 and thus the highest score possible is 1.
  8. ^ a b c d GGGR 2018, p. 6; Table 2: Calculation of weights within each subin-dex
  9. ^ GGGR 2018, p. 5, Construction of the Index, § 2. Data truncation at equality benchmark: … In the case of sex ratio at birth, the equality benchmark is set at 0.944,
    GGGR 2018, p. 42, Country Score Card: … except for the sex ratio at birth (0.944)
  10. ^ GGGR 2018, p. 5, Construction of the Index, § 2. Data trun-cation at equality benchmark: … the case of healthy life expectancy the equality benchmark is set at 1.06.
    GGGR 2018, p. 42, Country Score Card: … and the healthy life expectancy (1.06) indicators.
  11. ^ 2016 Report, Page 6
  12. ^ Ricardo Hausmann; Laura D. Tyson; Saadia Zahidi, eds. (2012). The Global Gender Gap Report 2012 (PDF) (Report). World Economic Forum, Geneva, Switzerland. Retrieved 2012-10-26.
  13. ^ "The Global Gender Gap Report 2013" (PDF). World Economic Forum. pp. 12–13.
  14. ^ "Global Gender Gap Report 2014 - Reports - World Economic Forum". Global Gender Gap Report 2014.
  15. ^ "Global Gender Gap Report 2015 - Rankings". World Economic Forum. Archived from the original on 17 April 2016. Retrieved 28 April 2016.
  16. ^ a b "Global Gender Gap Report 2017 - Rankings". World Economic Forum. 17 November 2017. Retrieved 17 November 2017.
  17. ^ "Global Gender Gap Report 2020" (PDF). World Economic Forum. Retrieved 18 December 2019.
  18. ^ a b "Global Gender Gap Report 2021" (PDF). World Economic Forum. Retrieved 30 March 2021.
  19. ^ Beneria, L., Permanyer, I.,(2010). The Measurement of Socio-economic Gender Inequality Revisited, Development and Change, 41:3, pp.375-399
  20. ^ Stoet, G. & Geary, D.C. (2019). A simplified approach to measuring national gender inequality, PLOS ONE 14(1): e0205349. https://doi.org/10.1371/journal.pone.0205349
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Reports

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