Tweet
Question: How important is being born a man or a woman for getting ahead in life?
Choices: "Essential" "Very important" "Fairly important" "Not very important" "Not important at all"
Data: % of "Essential" "Very important"
Period:
Area:
30 countries/ areas
Highlight:
1 Italy18.9%
2 Israel18.7%
3 Hungary18.6%
4 Austria18.0%
5 Slovenia17.0%
6 Slovakia16.8%
7 Czech Republic16.7%
8 Poland14.4%
9 Germany14.2%
10 Turkiye12.5%
11 Chile12.3%
12 Switzerland11.8%
13 United States10.9%
14 Australia10.3%
15 Sweden10.1%
16 Republic of Korea10.0%
17 Spain9.7%
18 United Kingdom9.5%
19 France9.4%
20 Portugal9.3%
21 Iceland9.2%
22 Belgium9.0%
23 Norway6.8%
24 Estonia6.6%
24 Lithuania6.6%
26 Denmark6.1%
27 Japan 5.6%
28 Finland5.5%
29 Latvia5.2%
29 New Zealand5.2%

Note
Can't choose/ No answer are excluded. Belgium: unweighted sum of Flanders and Wallony. Germany: unweighted sum of West and East Germany. United Kingdom: excluding Northern Ireland.

No data for 8 countries.

Source
ISSP 2009

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data30
Regression equation
Y = -2.598445 X +6.976
Correlation coefficient (r)-0.200
Coefficient of determination (R2)0.040

GDP per capita (current US$)
No. of data30
Regression equation
Y = -121206.910471 X +56864.398
Correlation coefficient (r)-0.231
Coefficient of determination (R2)0.053

Life expectancy at birth - Both sexes (years)
No. of data30
Regression equation
Y = -11.459832 X +81.456
Correlation coefficient (r)-0.150
Coefficient of determination (R2)0.022

Fertility rate, total (births per woman)
No. of data30
Regression equation
Y = 2.087020 X +1.357
Correlation coefficient (r)0.270
Coefficient of determination (R2)0.073

Suicide, age-standardized (per 100 000 population)
No. of data30
Regression equation
Y = -32.899647 X +14.248
Correlation coefficient (r)-0.353
Coefficient of determination (R2)0.125