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Question: People may have different opinions about whether women or men are best suited to serve in certain leadership positions. Please consider the following positions and tick the options that come closest to your own opinion. - Senior executive of a large company
Choices: "Women are much better suited" "Women are somewhat better suited" "Women and men are equally suited" "Men are somewhat better suited" "Men are much better suited"
Data: % of "Women and men are equally suited"
Period:
Area:
24 countries/ areas
Highlight:
1 France93.9%
2 Spain93.6%
3 Iceland88.8%
4 Norway88.7%
5 Denmark88.6%
6 Sweden88.1%
7 United States86.3%
8 Switzerland86.2%
9 Finland85.1%
9 Netherlands85.1%
11 Germany84.5%
12 Greece84.4%
13 Australia84.2%
13 New Zealand84.2%
15 Slovenia82.3%
16 Austria81.5%
17 Israel78.7%
18 Italy76.4%
19 Poland76.0%
20 Japan 66.0%
21 Czech Republic65.9%
22 Lithuania60.5%
23 Hungary58.4%
24 Slovakia48.1%

Note
Can't choose/ No answer are excluded.

No data for 14 countries.

Source
ISSP 2022

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data24
Regression equation
Y = 2.113469 X +5.151
Correlation coefficient (r)0.498
Coefficient of determination (R2)0.248

Life satisfaction (10 steps)
No. of data24
Regression equation
Y = 2.074106 X +5.164
Correlation coefficient (r)0.483
Coefficient of determination (R2)0.233

Life satisfaction (10 steps)
No. of data24
Regression equation
Y = 2.115069 X +5.149
Correlation coefficient (r)0.484
Coefficient of determination (R2)0.234

GDP per capita (current US$)
No. of data24
Regression equation
Y = 114502.082948 X -39562.100
Correlation coefficient (r)0.582
Coefficient of determination (R2)0.339

Life expectancy at birth - Both sexes (years)
No. of data24
Regression equation
Y = 12.403009 X +71.622
Correlation coefficient (r)0.644
Coefficient of determination (R2)0.415

Fertility rate, total (births per woman)
No. of data24
Regression equation
Y = 0.162570 X +1.329
Correlation coefficient (r)0.057
Coefficient of determination (R2)0.003

Suicide, age-standardized (per 100 000 population)
No. of data24
Regression equation
Y = -4.148954 X +13.501
Correlation coefficient (r)-0.147
Coefficient of determination (R2)0.022