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Question: Whether the person has children to support ? how important do you think that ought to be in deciding pay?
Choices: "Essential" "Very important" "Fairly important" "Not very important" "Not important at all"
Data: % of "Essential" "Very important"
Period:
Area:
19 countries/ areas
Highlight:
1 Chile59.9%
2 Italy55.6%
3 Germany52.7%
4 Austria48.3%
5 Slovenia40.0%
6 Israel37.9%
7 Lithuania35.8%
8 Czech Republic34.3%
9 Switzerland32.8%
10 Iceland27.4%
11 New Zealand27.2%
12 Japan 25.8%
13 United Kingdom21.4%
14 United States19.3%
15 Finland17.8%
16 Norway16.6%
17 France12.7%
18 Australia11.9%
19 Sweden10.2%

Note
Can't choose/ No answer are excluded.

No data for 19 countries.

Source
ISSP 2019

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data19
Regression equation
Y = -0.956270 X +7.198
Correlation coefficient (r)-0.372
Coefficient of determination (R2)0.138

Life satisfaction (10 steps)
No. of data19
Regression equation
Y = -1.143214 X +7.242
Correlation coefficient (r)-0.439
Coefficient of determination (R2)0.193

Life satisfaction (10 steps)
No. of data19
Regression equation
Y = -1.222281 X +7.285
Correlation coefficient (r)-0.438
Coefficient of determination (R2)0.192

GDP per capita (current US$)
No. of data19
Regression equation
Y = -61019.873018 X +73594.409
Correlation coefficient (r)-0.404
Coefficient of determination (R2)0.163

Life expectancy at birth - Both sexes (years)
No. of data19
Regression equation
Y = -2.023355 X +82.542
Correlation coefficient (r)-0.162
Coefficient of determination (R2)0.026

Fertility rate, total (births per woman)
No. of data19
Regression equation
Y = -0.318524 X +1.583
Correlation coefficient (r)-0.133
Coefficient of determination (R2)0.018

Suicide, age-standardized (per 100 000 population)
No. of data19
Regression equation
Y = -11.070513 X +14.122
Correlation coefficient (r)-0.530
Coefficient of determination (R2)0.281