Estadísticas


estadisticas

 

Global Gender Gap Index 2016
The highest possible score is 1 (equality) and the lowest possible score is 0 (inequality)

Rank

Economy

Score

1

Iceland

0.874

2

Finland

0.845

3

Norway

0.842

4

Sweden

0.815

5

Rwanda

0.800

6

Ireland

0.797

7

Philippines

0.786

8

Slovenia

0.786

9

New Zealand

0.781

10

Nicaragua

0.780

11

Switzerland

0.776

12

Burundi

0.768

13

Germany

0.766

14

Namibia

0.765

15

South Africa

0.764

16

Netherlands

0.756

17

France

0.755

18

Latvia

0.755

19

Denmark

0.754

20

United Kingdom

0.752

21

Mozambique

0.750

22

Estonia

0.747

23

Bolivia

0.746

24

Belgium

0.745

25

Lithuania

0.744

26

Moldova

0.741

27

Cuba

0.740

28

Barbados

0.739

29

Spain

0.738

30

Belarus

0.737

31

Portugal

0.737

32

Costa Rica

0.736

33

Argentina

0.735

34

Luxembourg

0.734

35

Canada

0.731

36

Cape Verde

0.729

37

Bahamas

0.729

38

Poland

0.727

39

Colombia

0.727

40

Ecuador

0.726

41

Bulgaria

0.726

42

Jamaica

0.724

43

Lao PDR

0.724

44

Trinidad and Tobago

0.723

45

United States

0.722

46

Australia

0.721

47

Panama

0.721

48

Serbia

0.720

49

Israel

0.719

50

Italy

0.719

51

Kazakhstan

0.718

52

Austria

0.716

53

Tanzania

0.716

54

Botswana

0.715

55

Singapore

0.712

56

Zimbabwe

0.710

57

Lesotho

0.706

58

Mongolia

0.705

59

Ghana

0.705

60

Madagascar

0.704

61

Uganda

0.704

62

Albania

0.704

63

Kenya

0.702

64

El Salvador

0.702

65

Vietnam

0.70

66

Mexico

0.70

67

Malawi

0.70

68

Croatia

0.70

69

Ukraine

0.70

70

Chile

0.699

71

Thailand

0.699

72

Bangladesh

0.698

73

Macedonia, FYR

0.696

74

Venezuela

0.694

75

Russian Federation

0.691

76

Romania

0.690

77

Czech Republic

0.690

78

Honduras

0.690

79

Brazil

0.687

80

Peru

0.687

81

Kyrgyz Republic

0.687

82

Senegal

0.685

83

Bosnia and Herzegovina

0.685

84

Cyprus

0.684

85

Cameroon

0.684

86

Azerbaijan

0.684

87

India

0.683

88

Indonesia

0.682

89

Montenegro

0.681

90

Georgia

0.681

91

Uruguay

0.681

92

Greece

0.680

93

Tajikistan

0.679

94

Slovak Republic

0.679

95

Suriname

0.679

96

Paraguay

0.676

97

Dominican Republic

0.676

98

Belize

0.676

99

China

0.676

100

Sri Lanka

0.673

101

Hungary

0.669

102

Armenia

0.669

103

Brunei Darussalam

0.669

104

Gambia, The

0.667

105

Guatemala

0.666

106

Malaysia

0.666

107

Swaziland

0.665

108

Malta

0.664

109

Ethiopia

0.662

110

Nepal

0.661

111

Japan

0.660

112

Cambodia

0.658

113

Mauritius

0.652

114

Liberia

0.652

115

Maldives

0.650

116

Korea, Rep.

0.649

117

Angola

0.643

118

Nigeria

0.643

119

Qatar

0.643

120

Algeria

0.642

121

Bhutan

0.642

122

Guinea

0.640

123

Burkina Faso

0.640

124

United Arab Emirates

0.639

125

Timor-Leste

0.637

126

Tunisia

0.636

127

Benin

0.636

128

Kuwait

0.624

129

Mauritania

0.624

130

Turkey

0.623

131

Bahrain

0.615

132

Egypt

0.614

133

Oman

0.612

134

Jordan

0.603

135

Lebanon

0.598

136

Cote d’Ivoire

0.597

137

Morocco

0.597

138

Mali

0.591

139

Iran, Islamic Rep.

0.587

140

Chad

0.587

141

Saudi Arabia

0.583

142

Syria

0.567

143

Pakistan

0.556

144

Yemen

0.516

gender_gap2

 

indice-ninas-oportunidades

 

Men and women disagree on the cause of tech’s diversity problem.

We asked founders to pinpoint the main driver behind women and ethnic minorities being underrepresented in tech. While men and women agreed on some factors, they diverged on others. Men are more likely to blame the pipeline into tech; women place greater emphasis on unconscious bias and lack of role models.

Women’s Share of Board Seats at European Stock Index Companies

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