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South African men are worse off than women – study

International study overturns a few cherished assumptions about gender.

It’s always dangerous to challenge someone’s cherished victimhood, but a new academic study does just that: men in South Africa are more disadvantaged than women.

This may upend a few certitudes about gender equality, where women are perceived as the natural victims of discrimination. That certainty has launched a thousand think tanks and academic studies and embedded itself into every aspect of our law.

Rather than conduct a straightforward headcount of women and men in all aspects of life, this study looks at quality of educational opportunities, healthy life expectancy, and overall life satisfaction – and coverts this into a numerical value, the Basic Index of Gender Inequality (BIGI).

These three factors were identified as the minimal ingredients of a good life. Gender parity does not mean everything in life is rosy, say the authors. Men and women can be equally miserable, which will not show up on the parity rankings.

The study was carried out by researchers from the University of Missouri in the US and the University of Essex in the UK. The survey covered 134 nations, representing 6.8 billion people.

The researchers preface their findings by highlighting the limitations of other attempts to rank gender inequality by failing to look at areas where men are disadvantaged, such as healthy lifespan.

Interestingly, Bahrain comes out as the top country in terms of gender equality. Life expectancies between men and women are equal, though men fall slightly behind in terms of basic education and life satisfaction.

Israel is the highest ranking country in which men have it better than women, though the difference is small.

China is another country where men have it better. Chinese girls fall behind considerably in basic education, but men have a lower life expectancy (66 years, compared to 69 years for women).

SA deviates from most African and developing countries in that women have it better. This is particularly evident in education, where men fall considerably behind women. “In this regard, South Africa deviates much from many other sub-Saharan nations (where often girls fall behind). Further, men have a shorter healthy life expectancy (48 years for men and 51 years for women in the 2012-2016 period),” says the study.

How to improve

“Both boys’ and men’s education and health need urgent attention. As for Brazil, a reduction in violence will support this in addition to preventative health care and investment in educational resources.”

Men were found to be more disadvantaged than women in 91 countries while women were more disadvantaged than men in 43. Men are worse off in the US, Russia and most European nations.

The study recommends policies targeting specific gender disparities to improve the overall quality of life. “It is important to realise that gender equality is not a zero-sum game. Instead, improving the position of one gender will likely positively influence the other gender as well,” say the authors.

“For example, improving educational opportunities for girls in Africa will benefit the families they will later form. Improving men’s health benefits the families in which they live. Ultimately, we all win by increasing gender equality.

“Men’s disadvantages are particularly related to health factors, especially in the developed world. Investment in prevention programmes and a more coherent approach to male health is key to improving this situation. For example, there are various national and international strategies for women’s health, but few for men’s health. Creating a national and international strategy for men’s health is a first step to reduce gender inequality in this area.”

Women’s disadvantages are particularly strong in Africa, particularly when it comes to access to education and maternal death during life birth.

The study can be found here.

AADP: The Average Absolute Deviation from Parity (AADP) ranking gives a sense of how close a country is to achieving gender equality (remember, equality does not necessarily mean that men and women are doing well, on average, just that they are more or less equal within their life circumstances).

BIGI: The Basic Index of Gender Inequality (BIGI) ranking is based on a simple average of healthy life expectancy, basic education and life satisfaction. A BIGI score below zero means women are better off than men.

Ideally, a country will have a good BIGI and a good AADP ranking. However, there are countries with a good BIGI ranking and a much lower AADP ranking. In such countries, both men and women have considerable problems, but on the whole, men and women’s disadvantages cancel each other out.

South Africa

Rank

Rank in overall parity

Country

BIGI

AADP

Basic education

Healthy lifespan

Life satisfaction

Human development index

1

12

Bahrain

-0.00794

0.00794

-0.01264

0.00000

-0.01117

0.82050

2

24

Great Britain

-0.01455

0.01567

-0.01214

-0.03318

0.00169

0.90500

3

27

Netherlands

-0.01585

0.01585

-0.01109

-0.02748

-0.00898

0.92300

4

35

Iceland

-0.01768

0.01681

-0.01101

-0.02437

-0.01506

0.91550

5

32

New Zealand

-0.01709

0.01709

-0.01033

-0.02725

-0.01368

0.91150

6

30

Serbia

-0.01670

0.01851

-0.00487

-0.04794

0.00273

0.77200

7

39

Norway

-0.01950

0.01865

-0.00417

-0.03303

-0.01875

0.94600

8

34

Ireland

-0.01744

0.02011

0.00401

-0.04635

-0.00997

0.91375

9

40

Ecuador

-0.02012

0.02012

-0.00663

-0.05348

-0.00025

0.73500

10

31

Lebanon

-0.01697

0.02016

0.00479

-0.04472

-0.01098

0.76375

11

10

Malta

-0.00732

0.02170

-0.01064

-0.03288

0.02157

0.84600

12

16

Belgium

-0.01118

0.02190

0.01609

-0.04925

-0.00038

0.89250

13

2

Israel

0.00063

0.02230

0.02111

-0.03251

0.01328

0.89575

14

45

United Arab Emirates

-0.02244

0.02244

-0.03587

0.00000

-0.03145

0.83425

15

26

Sweden

-0.01575

0.02253

0.01017

-0.03792

-0.01950

0.90800

16

46

Denmark

-0.02347

0.02347

-0.03058

-0.03604

-0.00380

0.92450

17

23

Canada

-0.01417

0.02380

0.01445

-0.03777

-0.01919

0.91500

18

11

Switzerland

-0.00794

0.02391

0.02404

-0.04011

-0.00757

0.93675

19

49

Australia

-0.02420

0.02420

-0.01385

-0.04032

-0.01844

0.93625

20

36

Czech Rep.

-0.01833

0.02466

0.00325

-0.06448

0.00625

0.87225

21

52

Cyprus

-0.02550

0.02550

-0.01317

-0.03495

-0.02838

0.85225

22

43

France

-0.02177

0.02567

-0.00430

-0.06686

0.00584

0.89200

23

4

Azerbaijan

-0.00267

0.02639

0.02781

-0.04359

0.00777

0.75350

24

1

Italy

0.00021

0.02695

0.00178

-0.04011

0.03897

0.88025

25

87

Belize

-0.04794

0.02939

0.00323

-0.08355

-0.00140

0.70575

26

20

Germany

-0.01299

0.02945

0.02468

-0.05147

-0.01219

0.92225

27

58

Spain

-0.02990

0.02990

-0.00438

-0.05832

-0.02702

0.87925

28

21

Montenegro

-0.01312

0.03023

0.03238

-0.03980

-0.01852

0.80325

29

33

Austria

-0.01739

0.03057

0.01978

-0.05998

-0.01196

0.89100

30

42

Luxembourg

-0.02113

0.03091

-0.03208

-0.04599

0.01467

0.89450

31

18

Albania

-0.01289

0.03223

0.02901

-0.01818

-0.04950

0.76150

32

66

Malaysia

-0.03595

0.03242

-0.00505

-0.05152

-0.04071

0.78450

33

9

Macedonia

0.00683

0.03244

0.02806

-0.03841

0.03085

0.74450

34

61

United States of America

-0.03294

0.03294

-0.02006

-0.04757

-0.03118

0.91725

35

62

Jordan

-0.03303

0.03303

-0.00468

-0.02173

-0.07268

0.73900

36

8

China

0.00626

0.03352

0.05967

-0.03504

-0.00585

0.72700

37

63

Chile

-0.03321

0.03356

-0.03905

-0.06111

0.00052

0.84100

38

38

Greece

-0.01916

0.03414

0.02247

-0.04909

-0.03086

0.86325

39

37

Peru

0.01863

0.03438

0.07510

-0.02362

0.00442

0.73575

40

60

Moldova (Republic of)

-0.03240

0.03452

0.00318

-0.09538

-0.00501

0.69550

41

65

Mexico

-0.03545

0.03545

-0.04241

-0.05797

-0.00595

0.75675

42

13

Madagascar

0.00997

0.03580

0.06866

-0.03652

-0.00223

0.51000

43

68

Paraguay

-0.03600

0.03600

-0.05271

-0.05400

-0.00128

0.68800

44

44

Slovenia

-0.02206

0.03621

-0.01060

-0.07680

0.02122

0.88600

45

70

Brazil

-0.03678

0.03678

-0.03711

-0.06858

-0.00464

0.74725

46

50

Romania

-0.02455

0.03692

-0.01062

-0.08159

0.01856

0.79775

47

59

Kuwait

-0.03106

0.03694

-0.04861

0.00882

-0.05339

0.79550

48

6

Singapore

0.00315

0.03701

0.05710

-0.04451

-0.00942

0.92275

49

5

Indonesia

-0.00309

0.03777

0.05202

-0.03468

-0.02660

0.68350

50

72

Finland

-0.03802

0.03802

-0.00628

-0.06502

-0.04276

0.89125

51

25

Kyrgyz Republic

-0.01509

0.03857

0.02218

-0.08049

0.01304

0.65725

52

29

Georgia

-0.01654

0.03866

0.03072

-0.08279

0.00246

0.76275

53

73

Bangladesh

-0.03892

0.03892

-0.03523

-0.00904

-0.07251

0.57225

54

41

Slovak Republic

-0.02104

0.03991

0.00314

-0.09143

0.02516

0.84150

55

76

Tajikistan

0.03958

0.04158

0.10556

-0.00299

0.01618

0.62275

56

22

Bosnia and Herzegovina

-0.01387

0.04215

0.03922

-0.05714

-0.03010

0.74350

57

47

Hungary

-0.02361

0.04249

0.01302

-0.09915

0.01529

0.83200

58

80

Japan

-0.04286

0.04286

-0.01000

-0.06940

-0.04917

0.89950

59

19

Bulgaria

-0.01290

0.04362

0.02541

-0.08478

0.02068

0.78850

60

81

Costa Rica

-0.04373

0.04373

-0.04921

-0.04225

-0.03972

0.77025

61

67

Kazakhstan

-0.03598

0.04513

0.00042

-0.12167

0.01330

0.78950

62

56

Croatia

-0.02832

0.04519

-0.04455

-0.06571

0.02531

0.82175

63

85

Honduras

-0.04623

0.04623

-0.08593

-0.04644

-0.00631

0.62000

64

78

Korea (Republic of)

-0.04113

0.04664

0.00827

-0.07243

-0.05922

0.89675

65

82

Latvia

-0.04533

0.04759

-0.01947

-0.11991

0.00338

0.82350

66

86

Estonia

-0.04631

0.04791

-0.01740

-0.12394

0.00240

0.86100

67

54

El Salvador

-0.02645

0.04903

0.03387

-0.08932

-0.02390

0.67725

68

89

Panama

-0.04907

0.04907

-0.07370

-0.05781

-0.01569

0.78150

69

28

Bolivia (Plurinational State of)

0.01648

0.04956

0.06422

-0.04963

0.03483

0.66800

70

14

Zimbabwe

-0.01028

0.04996

0.06027

-0.07089

-0.01872

0.50225

71

91

Poland

-0.05090

0.05090

-0.01735

-0.09907

-0.03628

0.84875

72

3

Saudi Arabia

-0.00155

0.05144

0.07483

-0.03087

-0.04862

0.84075

73

53

Viet Nam

-0.02598

0.05251

0.03979

-0.09025

-0.02748

0.67600

74

75

Botswana

-0.03953

0.05468

-0.13115

-0.01016

0.02272

0.69650

75

77

Lithuania

-0.03962

0.05484

0.01067

-0.14168

0.01217

0.84225

76

69

Rwanda

0.03671

0.05536

0.09620

-0.02934

0.04055

0.49100

77

97

Colombia

-0.05558

0.05558

-0.07398

-0.06360

-0.02917

0.72075

78

48

Mauritius

-0.02381

0.05565

0.05216

-0.07756

-0.03725

0.77350

79

55

Burundi

0.02732

0.05646

0.12470

-0.03787

-0.00681

0.40300

80

15

Kenya

0.01113

0.05649

0.10143

-0.03056

-0.03748

0.54800

81

100

Sri Lanka

-0.05761

0.05650

-0.05267

-0.06873

-0.04809

0.76175

82

98

South Africa

-0.05560

0.05654

-0.10774

-0.06047

0.00141

0.66075

83

7

Turkey

-0.00616

0.05673

0.07585

-0.05373

-0.04059

0.76100

84

99

Portugal

-0.05676

0.05676

-0.08245

-0.06027

-0.02754

0.83700

85

101

Jamaica

-0.05821

0.05908

-0.09979

-0.06667

-0.01078

0.72825

86

104

Argentina

-0.05960

0.05960

-0.08308

-0.07246

-0.02325

0.82525

87

105

Thailand

-0.06116

0.06116

-0.07061

-0.08641

-0.02645

0.73700

88

83

Belarus

-0.04567

0.06261

-0.01056

-0.15196

0.02530

0.79650

89

74

Russia

-0.03949

0.06416

0.01739

-0.15548

0.01963

0.80275

90

88

Trinidad and Tobago

-0.04859

0.06463

-0.05030

-0.03800

-0.10558

0.77750

91

106

Armenia

-0.06523

0.06523

-0.10006

-0.08600

-0.00962

0.73975

92

107

Dominican Rep.

-0.06627

0.06627

-0.12793

-0.03097

-0.03991

0.71525

93

103

Qatar

-0.05937

0.06628

-0.10421

0.02353

-0.07111

0.85200

94

108

Venezuela (Bolivarian Republic of)

-0.06653

0.06653

-0.09542

-0.07570

-0.02848

0.76925

95

109

Nicaragua

-0.06813

0.06813

-0.13631

-0.05758

-0.01050

0.63825

96

71

Syria

0.03680

0.06987

0.12976

-0.06117

0.01868

0.57475

97

51

Ukraine

-0.02481

0.07017

-0.01458

-0.12789

0.06805

0.74525

98

92

Tanzania (United Republic of)

0.05197

0.07155

0.15517

-0.02937

0.03010

0.51875

99

96

Ghana

0.05442

0.07192

0.15320

-0.02625

0.03631

0.57500

100

111

Uruguay

-0.07366

0.07366

-0.10006

-0.07714

-0.04378

0.79200

101

17

Guatemala

0.01220

0.07688

0.13361

-0.07196

-0.02505

0.62550

102

112

Mongolia

-0.07693

0.07693

-0.06632

-0.11113

-0.05333

0.72925

103

93

Tunisia

0.05382

0.07701

0.18283

-0.03936

0.00885

0.72250

104

79

Algeria

0.04284

0.08338

0.18834

-0.01587

-0.04591

0.74150

105

116

Suriname

-0.08442

0.08552

-0.17081

-0.08162

0.00412

0.72225

106

84

Uganda

0.04568

0.08607

0.19763

-0.05435

-0.00624

0.48550

107

110

Malawi

0.07135

0.09029

0.22548

-0.02840

0.01698

0.46850

108

90

Cambodia

0.04941

0.09393

0.18443

-0.06679

0.03058

0.55500

109

57

Iran (Islamic Republic of)

-0.02898

0.09678

0.10170

-0.03137

-0.15729

0.77175

110

94

Cameroon

0.05383

0.09809

0.22685

-0.01020

-0.05722

0.51000

111

64

Egypt

0.03333

0.09841

0.19761

-0.04158

-0.05604

0.68650

112

121

Philippines

-0.09874

0.09874

-0.15951

-0.08839

-0.04832

0.67700

113

115

Zambia

0.08292

0.10469

0.25035

-0.03230

0.03142

0.57250

114

117

India

0.08477

0.10761

0.28583

-0.03425

0.00275

0.61125

115

120

Nigeria

0.09076

0.11014

0.30240

-0.00426

-0.02377

0.52175

116

113

Angola

0.07718

0.11298

0.27046

-0.05968

-0.00879

0.52850

117

122

Bhutan

0.10976

0.11433

0.31798

-0.02150

0.00352

0.59900

118

119

Mauritania

0.09051

0.12053

0.29360

-0.04503

0.02294

0.50900

119

102

Namibia

-0.05866

0.12256

-0.21754

-0.04777

0.10235

0.63350

120

95

Morocco

0.05386

0.12388

0.26661

-0.02888

-0.07616

0.64150

121

114

Nepal

0.08147

0.13153

0.31949

-0.02000

-0.05509

0.55225

122

123

Senegal

0.11005

0.13227

0.36348

-0.02967

-0.00366

0.48550

123

127

Burkina Faso

0.12362

0.13767

0.39169

-0.02107

0.00024

0.39750

124

124

Pakistan

0.11617

0.14280

0.38846

-0.00338

-0.03656

0.54450

125

125

Ethiopia

0.11647

0.14572

0.37882

-0.04388

0.01447

0.43775

126

128

Mozambique

0.12896

0.15070

0.41463

-0.01286

0.02461

0.41150

127

129

Lesotho

-0.15264

0.15520

-0.36738

-0.06563

-0.03260

0.49175

128

126

Cote d’Ivoire

0.11995

0.15663

0.41494

-0.03804

-0.01689

0.46275

129

132

Mali

0.16047

0.16047

0.45581

0.00148

0.02414

0.43275

130

118

Yemen

0.09023

0.16653

0.38513

-0.02546

-0.08900

0.49475

131

130

Guinea

0.15346

0.17123

0.48838

-0.02000

-0.00532

0.41150

132

131

Liberia

0.15764

0.17410

0.49762

-0.01887

-0.00582

0.42450

133

133

Benin

0.18726

0.18961

0.49987

-0.00980

0.05915

0.47675

134

134

Chad

0.23114

0.24009

0.66015

-0.01343

0.04670

0.39175

 

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COMMENTS   8

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Woman’s league won’t like this.

I’m not sure I fully agree but it is refreshing to see some actual research and rationale vs there are no woman on boards.

I do not expect this article to be flooded with comments – nonetheless, I commend the author, for mounting this sacred cow. It does however stop short of presenting the obvious.

The fundamental fact is: Any- and all forms of affirmative action [AA] is a death knell to any society. AA from gender to ethnicity – will destroy nations.

The evidence is hiding in plain sight. There is zero AA in China – and they are catching up with the West fast.

The West is obsessed with AA. Men have been willfully (and often maliciously) removed from their rightful place in Western economies – the result: the West is getting dumber, it does not innovate anymore, it cannot solve even basic economic issues, etc.

A recent Norwegian study shows that intelligence quotient scores have been dropping for decades. Look it up.

Look up on Youtube: What If Men Are Smarter – TFF Episode 56

Like him or not, Tucker Carlson’s show, is among the most-watched television programs in America. Look up his (Fox News) segment – it may just blow your mind:

Tucker Carlson: Mitt Romney supports the status quo. But for everyone else, it’s infuriating

Waiting for a study to show that the world would be a much better place with a LOT less men.

No violent crime, no gangs, no wars and pointless aggressive disputes in the workplace or parking lot fueled testosterone-overloaded egos.

Hmmm… its a long list with possibilities!

Sounds like Jonnoxx is an idealogue, “ze” needs a massive dose of Dr Jordan B Petersen https://jordanbpeterson.com/

Ha haha!

I’m a great fan of Petersen!

But yes, that would be a very interesting conversation with him.

🙂

Why does equality for women in the work place not translate into equal legal responsibility for income in the family?

The usual excuse is that women have to look after the children, but that can be taken into account.

All this fierce competition to be regarded as the greatest victim, I wonder where it started ?

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