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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:
30 countries/ areas
Highlight:
1 Chile71.1%
2 Latvia69.0%
3 Germany65.5%
4 Switzerland63.7%
5 Italy62.0%
6 Austria61.5%
7 Turkiye58.4%
8 Israel56.9%
9 Spain55.8%
10 Belgium55.3%
11 Slovakia49.4%
12 Republic of Korea49.1%
13 Hungary46.1%
14 United States44.1%
15 Portugal43.5%
16 Iceland43.4%
17 Slovenia42.1%
18 Lithuania38.9%
19 France36.3%
20 Japan 33.6%
21 Czech Republic32.6%
22 United Kingdom29.7%
23 Estonia29.3%
24 Finland26.9%
25 Poland26.5%
26 New Zealand26.3%
27 Norway24.4%
28 Sweden21.1%
29 Australia19.6%
30 Denmark17.4%

Note
Can't choose/ No answer are excluded.

No data for 8 countries.

Source
ISSP 2009

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data30
Regression equation
Y = -1.442177 X +7.334
Correlation coefficient (r)-0.356
Coefficient of determination (R2)0.127

GDP per capita (current US$)
No. of data30
Regression equation
Y = -36647.611667 X +59208.190
Correlation coefficient (r)-0.249
Coefficient of determination (R2)0.062

Life expectancy at birth - Both sexes (years)
No. of data30
Regression equation
Y = -3.156126 X +81.544
Correlation coefficient (r)-0.147
Coefficient of determination (R2)0.022

Fertility rate, total (births per woman)
No. of data30
Regression equation
Y = 0.015126 X +1.583
Correlation coefficient (r)0.007
Coefficient of determination (R2)0.000

Suicide, age-standardized (per 100 000 population)
No. of data30
Regression equation
Y = -3.803407 X +12.223
Correlation coefficient (r)-0.145
Coefficient of determination (R2)0.021