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Cover of the 2008 report

The Global Gender Gap Report was first published in 2006 by the World Economic Forum. The 2017 report covers 144 major and emerging economies. The Global Gender Gap Index is an index designed to measure gender equality.[1]

Contents

MethodologyEdit

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 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.[2] 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 and would not cause deficits of equality in other areas to become less visible in the score, excepted for life expectancy.

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.[3] "By providing a comprehensible framework for assessing and comparing global gender gaps and by revealing those countries that are role models in dividing these resources equitably between women and men, the Report serves as a catalyst for greater awareness as well as greater exchange between policymakers."[3]

The report examines four 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 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.[4]

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.[5]

Upper limiting value of the Gender Gap IndexEdit

1. Economic participation and opportunity
 ratio limit[6] weight[7] 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 offcials 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[6] weight[7] 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[6] weight[7] value
* Sex ratio at birth 0.944[8] 0.693 0.654
* Healthy life expectancy 1.060[9] 0.307 0.345
  sum 1.0 1.0
4. Political empowerment
 ratio limit[6] weight[7] 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 1.000
4. Political empowerment 1.000
sum   4.000

Gender Gap Index: 4.0 / 4 = 1.0

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 rankingsEdit

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

 
The WEF Gender gap index world map for 2017[14]
Country Region Year[note 1]
2006 2007 2008 2009 2010 2011 2012 2013 2014 2015[15] 2016[14] 2017 2018
  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
  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
  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
  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
  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 0.677 0.678
  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
  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
  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 0.676 0.680
  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 0.743 0.741
  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 0.632 0.627
  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
  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 0.750 0.753
  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
  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
  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 0.692 0.662
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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 0.727 0.749
  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
  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
  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 0.745 0.749
  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 0.684 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 0.688 0.693
  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
  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 0.697 0.701
  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
  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 0.608 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 0.705 0.690
  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
  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
  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
  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
  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
  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
  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 0.679 0.677
  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
  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
  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
  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 0.667 0.668
  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
  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
  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 0.711 0.706
  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
  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
  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
  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
  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 0.583 0.589
  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
  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 0.721 0.722
  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
  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 0.717 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 0.657 0.662
  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 0.604 0.605
  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
  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
  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
  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 0.679 0.630
  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
  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
  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
  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 0.596 0.595
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
    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
  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
  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
  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 0.814 0.809
  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
  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
  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 N/A 0.605
  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
  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
  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
  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
  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
  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
  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
  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 0.626 0.629
  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
  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 0.696 0.701
  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
  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 0.584 0.590
  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
  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
  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
  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
  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
  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
  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
  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
  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
  Swaziland 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
  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
   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
  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 0.568 0.568
  Tajikistan Central Asia N/A 0.6578 0.6541 0.6661 0.6598 0.6526 0.6608 0.6682 0.6654 0.675 0.679 0.678 0.638
  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
  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
  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
  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 N/A 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
  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 0.625 0.628
  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
  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
  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 0.649 0.642
  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
  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
  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
  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
  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
  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 0.516 0.499
  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
  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

ControversiesEdit

There are controversies around credibility of the index,[16][17] stemmed mostly from misunderstandings. On 2014, for example, JTBC News Channel in South Korea described the reason why South Korea had such a low rank.[18] 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 does not affect the result much.[19]

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

See alsoEdit

NotesEdit

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

ReferencesEdit

  1. ^ "Global Gender Gap Report 2017". Global Gender Gap Report 2017. Retrieved 2018-05-11.
  2. ^ 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 variablesCS1 maint: Multiple names: authors list (link) CS1 maint: Extra text: authors list (link)
  3. ^ a b 2008 Report, p. 24
  4. ^ 2014 report, page 5
  5. ^ 2008 Report, p. 5
  6. ^ 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.
  7. ^ a b c d GGGR 2018, p. 6; Table 2: Calculation of weights within each subin-dex
  8. ^ 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)
  9. ^ 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.
  10. ^ 2016 Report, Page 6
  11. ^ http://www3.weforum.org/docs/WEF_GenderGap_Report_2012.pdf
  12. ^ "The Global Gender Gap Report 2013" (PDF). World Economic Forum. pp. 12–13.
  13. ^ "Global Gender Gap Report 2014 - Reports - World Economic Forum". Global Gender Gap Report 2014.
  14. ^ a b c "Global Gender Gap Report 2017 - Rankings". World Economic Forum. Retrieved 17 November 2017.
  15. ^ "Global Gender Gap Report 2015 - Rankings". World Economic Forum. Archived from the original on 17 April 2016. Retrieved 28 April 2016.
  16. ^ "Is WEF's South Korea's Gender Equality Ranking really worse than Afghanistan, Saudi Arabia, and Burkina Faso, etc?". reddit.
  17. ^ "Why the U.S. is losing the global fight for gender equality". fortune.com.
  18. ^ "FactCheck: South Korea ranked 117th. Is that accurate?". YouTube.
  19. ^ 2016 report, page 5

External linksEdit

ReportsEdit

  • 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.CS1 maint: Multiple names: authors list (link) CS1 maint: Extra text: 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.CS1 maint: Multiple names: authors list (link) CS1 maint: Extra text: 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.CS1 maint: Multiple names: authors list (link) CS1 maint: Extra text: 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.CS1 maint: Multiple names: authors list (link) CS1 maint: Extra text: 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.CS1 maint: Multiple names: authors list (link) CS1 maint: Extra text: 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.CS1 maint: Multiple names: authors list (link) CS1 maint: Extra text: 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.CS1 maint: Multiple names: authors list (link) CS1 maint: Extra text: authors list (link)