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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:
25 countries/ areas
Highlight:
1 Philippines75.4%
2 Chile72.0%
3 Israel64.8%
4 Germany64.5%
5 Cyprus63.8%
6 Spain62.5%
7 Latvia58.2%
8 Bulgaria57.2%
9 Austria53.8%
10 Russian Federation50.9%
11 Slovenia48.8%
12 France46.0%
13 Slovakia45.3%
14 United States44.2%
15 Portugal44.0%
16 Hungary39.6%
17 Norway37.8%
18 New Zealand37.0%
19 United Kingdom36.2%
20 Czech Republic34.3%
21 Canada33.4%
22 Japan 33.0%
23 Poland32.3%
24 Sweden26.6%
25 Australia21.1%

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

No data for 213 countries.

Source
ISSP 1999

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data25
Regression equation
Y = -1.263337 X +7.135
Correlation coefficient (r)-0.366
Coefficient of determination (R2)0.134

GDP per capita (current US$)
No. of data25
Regression equation
Y = -63724.278584 X +68223.922
Correlation coefficient (r)-0.402
Coefficient of determination (R2)0.162

Life expectancy at birth - Both sexes (years)
No. of data25
Regression equation
Y = -10.629315 X +83.981
Correlation coefficient (r)-0.337
Coefficient of determination (R2)0.114

Fertility rate, total (births per woman)
No. of data25
Regression equation
Y = 0.920739 X +1.214
Correlation coefficient (r)0.334
Coefficient of determination (R2)0.112

Suicide, age-standardized (per 100 000 population)
No. of data25
Regression equation
Y = -11.013497 X +15.031
Correlation coefficient (r)-0.389
Coefficient of determination (R2)0.151