Global Gender Gap Report

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The Global Gender Gap Report is a from the World Economic Forum (World Economic Forum) extensive since 2006 created an annual scientific report , which in the meantime 153 countries the gender gap ( "gap, gap") in the gender equality analyzed. The report is subdivided into the four areas of economy , education , health and politics and ranks the states according to rank . The countries are also divided into 8 world regions and these groups are examined (one of them is Western Europe with 22 states in Western Europe ).

To quantify the gender gap , the “Global Gender Gap Index ” (GGGI) is calculated from a total of 14  social indicators for the four areas. The index values ​​are to be understood as percentages of the equality achieved so far: The Global Gender Index 2020 for 2019 is included So far, women have achieved 0.686 - 68.6% of the position of men. Accordingly, the global gap of 31.4% has to be closed. The report notes that this will take exactly 99.5 years at the current rate of development, in Western Europe 54.4 years (0.767: 23.3% gap). The global sub-index on political participation has the lowest value (0.247: 75.3% gap between women and men), the longest duration in current progress is predicted for economic equality: 257 years (see table of sub-indices ).

The following short list shows the results of the Global Gender Gap Report 2020 (published in December 2019) for the three DA-CH countries, with the changes from 2018 and from 2006 and the world's leading Iceland (in green) - for comparison the two published at the same time Gender indices GDI and GII of the United Nations Development Program (UNDP) for 2018:

country 2019 from 2018 from 2006 UN development program
GGGI Gap rank +/- GGGI +/- GGGI GDI # GII rank
Iceland0 0.877 12.3% 1 (0) +0.019 0.858 +0.096 0.781 0.966 77 0.057 9
Germany 0.787 21.3% 10 (+4) +0.011 0.776 +0.035 0.752 0.968 72 0.084 19th
Switzerland 0.779 22.1% 18 (+2) +0.024 0.755 +0.079 0.700 0.963 82 0.037 1
Western Europe 0.767 23.3% 21 (−4) +0.009 0.758 +0.067 0.700 ... ... ... ...
Austria 0.744 25.6% 34 (+19) +0.026 0.718 +0.045 0.699 0.963 84 0.073 14th
Global 0.686 31.4% 95 (−5) +0.006 0.680 +0.041 0.645 0.941 101 0.439 100

calculation

The Global Gender Gap examines the gaps within a country and not the level in order to decouple this index from the development status of a country. It evaluates results such as the proportion of women in top positions, but no framework conditions such as the length of the baby break (depending on the legislation). The upper limit of the gap is 0.995 - everything above is limited to 1,000.

Sub-indices

The index is calculated from 14 individual social indicators , which are combined into 4 sub-indices in basic areas of life:

  • Economic participation and opportunity , with the participation gap , gender pay gap and advancement gap:
  1. Employment shares women / men
  2. Differences in income for the same activity
  3. Income ratio of women to men
  4. Proportion of top positions (legislators, senior civil servants and managers)
  5. Proportion of female experts and technicians
  2. Gender ratio of primary school education
  3. higher education
  4. University education
  5. Literacy rates women / men
  • Health and survival:
  2. Gender ratio of births
  3. Life expectancy (age in years)
  2. Proportion of women parliamentarians
  3. Ministers
  4. Heads of State for the past 50 years

Sub-indices of the DA-CH countries

The following list with the results of the Global Gender Gap Report 2020 shows the four sub-indices for the three DA-CH countries with their respective rank and change since the first report in 2006, here with the leading Iceland as a comparison (in green):

Country 2019 GGGI # Economic Access to Education Health , age Political participation
index # 2006 index # 2006 index # 2006 index # 2006
Iceland 0.877 1 0.839 2 +0.128 0.999 36 +0.008 0.968 123 +0.000 0.701 1 +0.245
Germany 0.787 10 0.723 48 +0.054 0.972 103 −0.023 0.973 86 −0.006 0.477 12 +0.111
Switzerland 0.779 18th 0.746 34 +0.037 0.992 77 +0.035 0.970 110 −0.009 0.407 19th +0.353
Western Europe 0.767 21st 0.693 65 ... 0.993 70 ... 0.972 95 ... 0.409 19th ...
Austria 0.744 34 0.659 86 +0.106 1,000 1 +0.020 0.974 82 −0.006 0.344 30th +0.062
Global 0.686 95 0.578 124 +0.202 0.961 113 +0.455 0.957 146 −0.055 0.247 53 +1.063

List of countries according to their GGGI

According to the Global Gender Gap Report 2020 for 2019, the global gender gap for equality of women is 31.4% compared to the position of men (GGGI 0.686 from 1,000 = 99.5 years to equality), with different characteristics in the four areas of life:

  1. Employment shares and differences between women and men, shares in top positions and of female experts and technicians - worldwide 0.578: 42.2% gap = 257 years for equality
  2. Primary school, high school and university as well as female / male literacy rates - 0.961 worldwide: 3.9% gap = 12 years to 1,000
  3. Gender distribution of births and life expectancy - 0.957 worldwide: 4.3% gap = consistently low for years
  4. Proportion of women parliamentarians and ministers and number of women heads of state in the last 50 years - 0.247 worldwide: 75.3% gap = 95 years on equality

The following list shows the GGGI and Gap as well as the sub- indices in the 153 evaluated countries with their global average (in gray), the 8 world regions (in beige; Western Europe in green in 21st place: the average of 22 countries in Western Europe ) and the leading Iceland (in green) - the three DA-CH countries are HDI rank 10 , rank 34 and rank 18 :

Country 2019 GGGI Gap rank +/- from
2018 		from
2006 		economy education health Political
index # index # index # index #
Global ø 0.686 31.4% 95   −5 +0.006 +0.041 0.578 124 0.961 113 0.957 146 0.247 53
Western Europe 0.767 23.3% 21st   −4 +0.009 +0.067 0.693 65 0.993 70 0.972 95 0.409 19th
North America 0.729 27.1% 48   −5 +0.004 +0.020 0.756 26th 1,000 36 0.975 75 0.184 78
Latin America , Carib. 0.721 27.9% 59   +6 +0.013 +0.085 0.642 94 0.996 60 0.979 44 0.269 43
East Europe , Cen.Asia 0.715 28.5% 66   +0.008 +0.042 0.732 43 0.998 45 0.979 44 0.150 97
East Asia , Pacific 0.685 31.5% 97   −4 +0.002 +0.025 0.663 83 0.976 99 0.943 151 0.159 92
Sub-Saharan Africa 0.680 32.0% 101   +2 +0.017 +0.050 0.666 82 0.872 139 0.972 93 0.211 65
South Asia 0.661 33.9% 118   −3 +0.003 +0.060 0.365 149 0.943 122 0.947 149 0.387 22nd
Mid. East , North Africa 0.611 38.9% 142   −4 +0.005 +0.036 0.425 144 0.950 121 0.969 117 0.102 120
Iceland 0.877 12.3% 1   +0.018 +0.095 0.839 2 0.999 36 0.968 123 0.701 1
Norway 0.842 15.8% 2   +0.007 +0.043 0.798 11 1,000 31 0.972 95 0.598 2
Finland 0.832 16.8% 3   +1 +0.012 +0.036 0.788 18th 1,000 1 0.977 56 0.563 5
Sweden 0.820 18.0% 4th   −1 −0.002 +0.007 0.790 16 0.996 59 0.969 117 0.525 9
Nicaragua 0.804 19.6% 5   −0.005 +0.147 0.671 81 1,000 1 0.980 1 0.565 3
New Zealand 0.799 20.1% 6th   +1 −0.002 +0.048 0.753 27 1,000 1 0.970 109 0.474 13
Ireland 0.798 20.2% 7th   +2 +0.002 +0.065 0.732 43 0.998 47 0.970 113 0.493 11
Spain 0.795 20.5% 8th   +21 +0.049 +0.063 0.681 72 0.998 43 0.972 93 0.527 8th
Rwanda 0.791 20.9% 9   −3 −0.013 k. A. 0.672 79 0.957 114 0.973 90 0.563 4th
GermanyGermany Germany 0.787 21.3% 10   +4 +0.011 +0.034 0.723 48 0.972 103 0.973 86 0.477 12
Latvia 0.785 21.5% 11   +6 +0.027 +0.076 0.810 8th 1,000 1 0.975 74 0.355 28
Namibia 0.784 21.6% 12   −2 −0.005 +0.098 0.789 17th 1,000 32 0.980 1 0.369 24
Costa Rica 0.782 21.8% 13   +9 +0.033 +0.089 0.607 112 1,000 33 0.977 60 0.545 6th
Denmark 0.782 21.8% 14th   −1 +0.004 +0.036 0.735 41 1,000 1 0.971 101 0.421 17th
France 0.781 21.9% 15th   −3 +0.002 +0.129 0.691 65 1,000 1 0.974 78 0.459 15th
Philippines 0.781 21.9% 16   −8 −0.018 +0.029 0.792 14th 0.999 37 0.979 41 0.353 29
South Africa 0.780 22.0% 17th   +2 +0.025 +0.068 0.649 92 0.994 67 0.980 1 0.497 10
SwitzerlandSwitzerland Switzerland 0.779 22.1% 18th   +2 +0.024 +0.079 0.746 34 0.992 77 0.970 110 0.407 19th
Canada 0.772 22.8% 19th   −3 +0.001 +0.055 0.751 30th 1,000 1 0.971 105 0.365 25th
Albania 0.769 23.1% 20th   +14 +0.035 +0.108 0.743 36 0.999 40 0.958 145 0.376 23
United Kingdom 0.767 23.3% 21st   −6 −0.007 +0.031 0.704 58 0.999 38 0.970 112 0.396 20th
Colombia 0.758 24.2% 22nd   +18 +0.029 +0.053 0.735 42 1,000 1 0.980 1 0.318 33
Moldova, Republic 0.757 24.3% 23   +12 +0.023 +0.044 0.788 19th 0.996 61 0.980 1 0.264 45
Trinidad & Tobago 0.756 24.4% 24 k. A. k. A. +0.076 0.721 51 0.994 66 0.980 1 0.329 31
Mexico 0.754 24.6% 25th   +25 +0.034 +0.108 0.574 124 0.997 54 0.979 46 0.468 14th
Estonia 0.751 24.9% 26th   +7 +0.017 +0.057 0.736 40 1,000 1 0.974 81 0.294 37
Belgium 0.750 25.0% 27   +5 +0.012 +0.042 0.714 54 1,000 1 0.973 86 0.313 34
Barbados 0.749 25.1% 28   −7 −0.004 k. A. 0.808 9 0.991 79 0.976 71 0.222 61
Belarus 0.746 25.4% 29   −1 k. A. k. A. 0.837 5 0.999 39 0.977 58 0.172 81
Argentina 0.746 25.4% 30th   +6 +0.014 +0.063 0.623 103 0.995 64 0.980 1 0.387 22nd
Cuba 0.746 25.4% 31   −8 −0.004 k. A. 0.617 107 0.998 44 0.975 77 0.392 21st
Burundi 0.745 25.5% 32   −1 +0.004 k. A. 0.837 6th 0.896 131 0.978 51 0.269 43
Lithuania 0.745 25.5% 33   −9 −0.005 +0.037 0.795 13 0.998 50 0.979 41 0.207 65
AustriaAustria Austria 0.744 25.6% 34   +19 +0.026 +0.046 0.659 86 1,000 1 0.974 82 0.344 30th
Portugal 0.744 25.6% 35   +2 +0.011 +0.052 0.726 46 0.992 73 0.978 50 0.278 39
Slovenia 0.743 25.7% 36   −25 −0.041 +0.069 0.797 12 1,000 27 0.980 1 0.196 71
Uruguay 0.737 26.3% 37   +19 +0.023 +0.082 0.696 64 1,000 28 0.980 1 0.274 42
Netherlands 0.736 26.4% 38   −11 −0.010 +0.012 0.702 60 1,000 1 0.968 122 0.276 40
Serbia 0.736 26.4% 39   −1 +0.006 k. A. 0.700 62 0.997 53 0.971 99 0.276 41
Poland 0.736 26.4% 40   +2 +0.008 +0.056 0.711 57 0.996 58 0.980 1 0.256 49
Jamaica 0.735 26.5% 41   +3 +0.012 +0.034 0.767 24 1,000 1 0.976 65 0.197 69
Bolivia 0.734 26.6% 42   −17 −0.014 +0.101 0.623 105 0.980 96 0.979 47 0.357 27
Laos 0.731 26.9% 43   −17 −0.017 k. A. 0.839 3 0.965 110 0.971 98 0.150 98
Australia 0.731 26.9% 44   −5 +0.001 +0.015 0.722 49 1,000 1 0.971 104 0.231 57
Zambia 0.731 26.9% 45 k. A. k. A. +0.095 0.831 7th 0.938 125 0.980 1 0.174 80
Panama 0.730 27.0% 46   −1 +0.008 +0.037 0.725 47 0.994 65 0.980 1 0.222 62
Zimbabwe 0.730 27.0% 47   +0.009 +0.084 0.728 45 0.977 98 0.980 1 0.238 54
Ecuador 0.729 27.1% 48   −7 k. A. +0.085 0.680 74 0.997 56 0.978 54 0.260 48
Bulgaria 0.727 27.3% 49   −31 −0.029 +0.040 0.715 52 0.989 85 0.979 41 0.225 60
Bangladesh 0.726 27.4% 50   −2 +0.004 +0.099 0.438 141 0.951 120 0.969 119 0.545 7th
Luxembourg 0.725 27.5% 51   +10 +0.013 +0.058 0.721 50 1,000 1 0.972 91 0.206 66
Cape Verde 0.725 27.5% 52   +20 +0.023 k. A. 0.790 15th 0.972 104 0.974 80 0.163 89
United States 0.724 27.6% 53   −2 +0.004 +0.020 0.756 26th 1,000 34 0.976 70 0.164 86
Singapore 0.724 27.6% 54   +13 +0.017 +0.069 0.782 20th 0.990 84 0.965 133 0.159 92
Romania 0.724 27.6% 55   +8 +0.013 +0.044 0.728 44 0.997 52 0.980 1 0.190 76
Mozambique 0.723 27.7% 56   −7 +0.003 k. A. 0.648 93 0.904 130 0.980 1 0.362 26th
Chile 0.723 27.7% 57   −3 +0.006 +0.077 0.608 111 1,000 30th 0.977 55 0.307 36
Honduras 0.722 27.8% 58   +10 +0.016 +0.074 0.713 55 1,000 1 0.977 59 0.199 68
Ukraine 0.721 27.9% 59   +6 +0.013 +0.042 0.737 39 1,000 26th 0.978 52 0.171 83
Croatia 0.720 28.0% 60   −1 +0.008 +0.006 0.674 77 0.995 62 0.979 48 0.232 55
Bahamas 0.720 28.0% 61   −31 −0.021 k. A. 0.838 4th 1,000 1 0.980 1 0.061 141
Madagascar 0.719 28.1% 62   +22 +0.027 +0.080 0.769 23 0.980 95 0.974 83 0.151 96
Slovakia 0.718 28.2% 63   +20 +0.026 +0.043 0.663 83 1,000 1 0.980 1 0.231 58
Israel 0.718 28.2% 64   −18 −0.004 +0.029 0.688 67 1,000 1 0.971 97 0.214 64
Uganda 0.717 28.3% 65   −22 −0.008 +0.037 0.663 82 0.914 129 0.980 1 0.309 35
Peru 0.714 28.6% 66   −14 −0.006 +0.052 0.652 90 0.981 94 0.977 62 0.247 53
Venezuela 0.713 28.7% 67   −3 +0.005 +0.047 0.683 69 0.998 41 0.980 1 0.191 74
Tanzania 0.713 28.7% 68   +3 +0.008 +0.009 0.698 63 0.921 127 0.978 49 0.254 50
Bosnia Herzegovina 0.712 28.8% 69   −7 −0.001 k. A. 0.614 109 0.967 108 0.976 68 0.290 38
North Macedonia 0.711 28.9% 70   −4 +0.003 +0.013 0.635 100 0.988 87 0.973 89 0.248 52
Montenegro 0.710 29.0% 71   −2 +0.004 k. A. 0.712 56 0.998 49 0.971 106 0.161 91
Kazakhstan 0.710 29.0% 72   −12 −0.002 +0.018 0.742 37 0.995 63 0.975 74 0.130 106
Botswana 0.709 29.1% 73   −18 −0.006 +0.020 0.779 21st 1,000 1 0.980 1 0.079 135
Georgia 0.708 29.2% 74   +25 +0.030 +0.038 0.701 61 1,000 29 0.976 68 0.154 94
Thailand 0.708 29.2% 75   −2 +0.006 +0.024 0.776 22nd 0.991 80 0.978 52 0.086 129
153 countries, 8 regions GGGI Gap rank +/- from 2018 since 2006 Host . # Picture . # Ges . # Pole . #
Italy 0.707 29.3% 76   −6 +0.001 +0.061 0.595 117 0.997 55 0.969 118 0.267 44
Suriname 0.707 29.3% 77   +2 +0.012 k. A. 0.635 99 0.993 68 0.967 125 0.232 56
Czech Republic 0.706 29.4% 78   +4 +0.014 +0.035 0.657 87 1,000 1 0.980 1 0.189 77
Mongolia 0.706 29.4% 79   −21 −0.007 +0.024 0.751 29 0.993 71 0.980 1 0.102 120
El Salvador 0.706 29.4% 80   +7 +0.016 +0.022 0.590 119 0.992 75 0.980 1 0.262 47
Russia 0.706 29.4% 81   −6 +0.004 +0.029 0.749 32 1,000 1 0.980 1 0.095 122
Ethiopia 0.705 29.5% 82   +35 +0.049 +0.111 0.568 125 0.850 140 0.976 63 0.427 16
Swaziland 0.703 29.7% 83   −3 +0.009 +0.043 0.703 59 0.992 76 0.980 1 0.138 101
Greece 0.701 29.9% 84   −6 +0.004 +0.047 0.675 76 0.993 69 0.971 100 0.164 87
Indonesia 0.700 30.0% 85   +0.010 +0.046 0.685 68 0.970 105 0.974 79 0.172 82
Dominik. republic 0.700 30.0% 86   −12 −0.001 +0.036 0.660 85 0.998 42 0.980 1 0.163 88
Vietnam 0.700 30.0% 87   −10 +0.001 k. A. 0.751 31 0.982 93 0.942 151 0.123 110
Lesotho 0.695 30.5% 88   −7 +0.001 +0.014 0.662 84 1,000 1 0.980 1 0.137 102
Cambodia 0.694 30.6% 89   +4 +0.011 +0.065 0.759 25th 0.939 124 0.975 73 0.103 119
Malta 0.693 30.7% 90   +1 +0.008 +0.042 0.621 106 1,000 1 0.969 116 0.184 78
Cyprus 0.692 30.8% 91   +1 +0.008 +0.049 0.681 73 0.998 48 0.967 127 0.122 111
Brazil 0.691 30.9% 92   +3 +0.010 +0.037 0.653 89 1,000 35 0.980 1 0.133 104
Kyrgyzstan 0.689 31.1% 93   −7 −0.002 +0.014 0.654 88 0.990 82 0.980 1 0.130 105
Azerbaijan 0.687 31.3% 94   +3 +0.007 k. A. 0.748 33 0.996 60 0.941 152 0.063 140
Brunei 0.686 31.4% 95   −5 +0.001 k. A. 0.752 28 0.992 72 0.969 115 0.031 148
Cameroon 0.686 31.4% 96   −39 −0.028 +0.099 0.689 66 0.885 136 0.973 88 0.196 70
Liberia 0.685 31.5% 97   −1 +0.004 k. A. 0.714 53 0.839 141 0.968 120 0.218 63
Armenia 0.684 31.6% 98   +0.006 k. A. 0.673 78 0.998 45 0.948 148 0.118 114
Senegal 0.684 31.6% 99   −5 +0.002 k. A. 0.552 128 0.888 135 0.976 66 0.320 32
Paraguay 0.683 31.7% 100   +4 +0.011 +0.028 0.641 95 0.998 46 0.972 96 0.122 112
Nepal 0.680 32.0% 101   +4 +0.009 +0.132 0.632 101 0.895 133 0.966 131 0.227 59
Sri Lanka 0.680 32.0% 102   −2 +0.004 −0.040 0.558 126 0.988 88 0.980 1 0.193 73
Fiji 0.678 32.2% 103   +3 +0.008 k. A. 0.584 123 0.997 51 0.979 41 0.150 97
Malaysia 0.677 32.3% 104   −3 +0.002 +0.027 0.639 97 0.989 86 0.974 84 0.108 117
Hungary 0.677 32.3% 105   −3 +0.003 +0.007 0.672 80 0.993 70 0.980 1 0.065 139
China, People's Republic 0.676 32.4% 106   −3 +0.003 +0.020 0.651 91 0.973 100 0.926 153 0.154 95
Ghana 0.673 32.7% 107   −18 −0.016 +0.007 0.642 94 0.951 119 0.968 121 0.129 107
South Korea 0.672 32.8% 108   +7 +0.014 +0.056 0.555 127 0.973 101 0.980 1 0.179 79
Kenya 0.671 32.9% 109   −33 −0.029 +0.023 0.598 114 0.938 126 0.980 1 0.169 85
Belize 0.671 32.9% 110   +1 +0.008 k. A. 0.680 75 0.991 78 0.980 1 0.032 147
Sierra Leone 0.668 33.2% 111   +3 +0.007 k. A. 0.745 35 0.860 139 0.967 126 0.100 121
India 0.668 33.2% 112   −4 +0.003 +0.066 0.354 149 0.962 112 0.944 150 0.411 18th
Guatemala 0.666 33.4% 113   −6 −0.002 +0.059 0.623 104 0.969 107 0.980 1 0.092 125
Myanmar 0.665 33.5% 114   −26 −0.024 k. A. 0.630 102 0.975 99 0.977 57 0.080 133
Mauritius 0.665 33.5% 115   −6 +0.002 +0.032 0.596 116 0.992 74 0.980 1 0.094 124
Malawi 0.664 33.6% 116   −4 +0.002 +0.020 0.600 113 0.915 128 0.980 1 0.162 90
East Timor 0.662 33.8% 117   +7 +0.025 k. A. 0.478 135 0.946 122 0.977 61 0.249 51
Angola 0.660 34.0% 118   +7 +0.027 +0.056 0.640 96 0.759 147 0.980 1 0.262 46
Benin 0.658 34.2% 119   −1 +0.003 +0.080 0.847 1 0.733 149 0.972 92 0.079 134
Society. Arab. Emirates 0.655 34.5% 120   +1 +0.013 +0.063 0.472 137 0.987 89 0.972 94 0.191 75
Japan 0.652 34.8% 121   −11 −0.010 +0.008 0.598 115 0.983 91 0.979 40 0.049 144
Kuwait 0.650 35.0% 122   +4 +0.020 +0.016 0.589 120 0.997 57 0.961 143 0.053 142
Maldives 0.646 35.4% 123   −10 −0.016 k. A. 0.518 131 1,000 1 0.953 147 0.111 115
Tunisia 0.644 35.6% 124   −5 −0.004 +0.015 0.434 142 0.970 106 0.971 107 0,201 67
Guinea 0.642 35.8% 125   −9 −0.014 k. A. 0.803 10 0.680 151 0.962 141 0.125 108
Vanuatu 0.638 36.2% 126 k. A. k. A. k. A. 0.637 98 0.947 121 0.967 128 0.000 152
Papua New Guinea 0.635 36.5% 127 k. A. k. A. k. A. 0.683 70 0.895 132 0.964 136 0.000 152
Nigeria 0.635 36.5% 128   +5 +0.015 +0.025 0.738 38 0.806 145 0.964 135 0.032 146
Burkina Faso 0.635 36.5% 129   +0.006 +0.049 0.614 108 0.873 138 0.963 137 0.089 127
Turkey 0.635 36.5% 130   +0.007 +0.050 0.478 136 0.961 113 0.976 64 0.124 109
Bhutan 0.635 36.5% 131   −9 −0.003 k. A. 0.544 130 0.954 116 0.960 144 0.082 132
Algeria 0.634 36.6% 132   −4 +0.005 +0.032 0.461 138 0.966 109 0.962 140 0.145 99
Bahrain 0.629 37.1% 133   −1 +0.002 +0.040 0.510 133 0.985 90 0.958 146 0.066 138
Egypt 0.629 37.1% 134   +1 +0.015 +0.051 0.438 140 0.973 102 0.974 85 0.133 103
Qatar 0.629 37.1% 135   −8 k. A. k. A. 0.512 132 0.990 83 0.961 142 0.052 143
Gambia 0.628 37.2% 136   −16 −0.015 −0.017 0.584 122 0.891 134 0.970 114 0.067 137
Tajikistan 0.626 37.4% 137   −14 −0.012 k. A. 0.496 134 0.942 123 0.976 72 0.088 128
Jordan 0.623 37.7% 138   +0.018 +0.012 0.408 145 0.991 81 0.971 103 0.121 113
Mali 0.621 37.9% 139   +4 +0.039 +0.021 0.591 118 0.757 148 0.965 132 0.171 84
Togo 0.615 38.5% 140   −6 −0.003 k. A. 0.608 110 0.778 146 0.965 134 0.111 116
Mauritania 0.614 38.6% 141   −5 +0.006 +0.030 0.411 144 0.879 137 0.970 111 0.194 72
Ivory Coast 0.606 39.4% 142   −11 −0.021 k. A. 0.545 129 0.828 142 0.970 108 0.082 131
Morocco 0.605 39.5% 143   −6 −0.002 +0.022 0.405 146 0.956 115 0.963 138 0.095 123
Oman 0.602 39.8% 144   −5 −0.003 k. A. 0.431 143 0.977 97 0.979 45 0.021 150
Lebanon 0.599 40.1% 145   −5 +0.004 k. A. 0.442 139 0.964 111 0.967 124 0.024 149
Saudi Arabia 0.599 40.1% 146   −5 +0.010 +0.075 0.375 148 0.983 92 0.963 139 0.077 136
Chad 0.596 40.4% 147   −2 +0.016 +0.071 0.682 71 0.589 153 0.971 102 0.141 100
Iran 0.584 41.6% 148   −6 −0.005 +0.004 0.381 147 0.953 118 0.966 130 0.037 145
Congo, Dem. Rep. 0.578 42.2% 149   −5 −0.003 k. A. 0.589 121 0.658 152 0.976 67 0.089 126
Syria 0.567 43.3% 150   −4 −0.001 k. A. 0.249 152 0.953 117 0.980 1 0.085 130
Pakistan 0.564 43.6% 151   −3 +0.014 +0.020 0.327 150 0.823 143 0.946 149 0.159 93
Iraq 0.530 47.0% 152   −5 −0.021 k. A. 0.227 153 0.812 144 0.975 76 0.105 118
Yemen 0.494 50.6% 153   −4 −0.006 +0.034 0.273 151 0.717 150 0.966 129 0.018 151
Global ø 0.686 31.4% 95   −5 +0.006 +0.041 0.578 124 0.961 113 0.957 146 0.247 53
country GGGI Gap rank +/- from 2018 since 2006 index # index # index # index #
Global Gender Gap 2020 economy education health Political

criticism

The report of the World Economic Forum does not distinguish whether women are equal to or even better off than men in the individual points. For each of the 14 sub-indices of the Global Gender Gap Index (GGGI) - for example educational qualifications or economic participation - values ​​from 0 to 1 are formed. 1,000 means that women have achieved equality with men . However, this ideal grade is also awarded if women leave men behind in an area and they are therefore disadvantaged. This could lead to the result that women are also considered disadvantaged in a country in which they do better than men in 9 out of 10 points and worse in only one because the resulting average value is below 1,000 due to the cap (see upper limit of the Gender Gap Index ).

The GGGI calculation method also means that, based on criteria such as life expectancy and gender distribution at birth, the maximum achievable value in the “health” area is 0.98. As a result, a country has no way of achieving the ideal grade of 1,000 (= gender equality with 0% gender gap ) in the overall assessment , even if women in this country are better off than men in all points.

Alternative: BIGI

The psychologists Gijsbert Stoet from the University of Essex and David Geary from the University of Missouri criticize the calculation method of the Global Gender Gap Index (GGGI) and in early 2019 present their Basic Index of Gender Inequality (BIGI), which is calculated from three social indicators :

  1. Years of life spent in good health
  2. basic school education
  3. general life satisfaction

According to the BIGI, men suffer disadvantages in 91 countries, women in only 43 countries, mostly in underdeveloped countries in Africa and South Asia. In the highly developed industrial countries, however, the BIGI shows extensive gender equality with slight advantages for women.

See also

United Nations:

CIA (World Factbook) :

literature

Web links

World Economic Forum (World Economic Forum) to GGGI 2020:

Meetings:

Individual evidence

  1. ↑ a b c All individual values of the three DA-CH countries: World Economic Forum (World Economic Forum) : Germany, Austria, Switzerland. In: reports.weforum.org. As of December 2019; all accessed on January 6, 2020 (English; interactive data explorer ).
  2. ↑ a b World Economic Forum (World Economic Forum) : The Global Gender Gap Report 2020 Cologny / Geneva, December 17, 2019 ISBN 978-2-940631-03-2 , page 9: Table 1: The Global Gender Gap Index 2020 rankings , p. 22: Figure 8 Regional performance 2020, by subindex , p. 75: Austria , p. 169: Germany , p. 183: Iceland and p. 325: Switzerland (English; summary; interactive data explorer; PDF: 25 MB, 371 pages on weforum.org ).
  3. ↑ World Economic Forum : The Global Gender Gap Report 2020. Cologny / Geneva, December 17, 2019, ISBN 978-2-940631-03-2 , p. 5: Key Findings , p. 9: Table 1: The Global Gender Gap Index 2020 rankings , p. 12/13: Table 2: The Global Gender Gap Index rankings by subindex, 2020 and p. 22: Figure 8: Regional performance 2020, by subindex (English; interactive data explorer; PDF: 25 MB, 371 pages on weforum.org ).
  4. ↑ a b SeSch: Methodical discussion of the Global Gender Gap Report. In: GenderKompetenz.info. GenderKompetenzZentrum der Humboldt-Universität Berlin, January 2, 2010, accessed on January 6, 2020 (for the 2007 report).
  5. ↑ Gijsbert Stoet, David Geary: A simplified approach to measuring national gender inequality. In: PloS One . January 3, 2019 (English; full text: doi: 10.1371 / journal.pone.0205349 ).
    Portal page: Basic Indicator of Gender Inequality (BIGI). January 11, 2019, accessed January 6, 2020.
    Sebastian Herrmann : Equal Rights: Where Men Suffer. In: SüddeutscheZeitung.de. January 9, 2019, accessed January 6, 2020.