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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:
41 countries/ areas
Highlight:
1 Philippines81.0%
2 Argentina74.4%
3 Chile71.1%
4 Latvia69.0%
5 China66.5%
6 Germany65.5%
7 Switzerland63.7%
8 Bulgaria62.1%
9 Italy62.0%
10 Austria61.5%
11 Venezuela58.8%
12 Turkiye58.4%
13 South Africa57.8%
14 Israel56.9%
15 Croatia55.8%
15 Spain55.8%
17 Belgium55.3%
18 Ukraine49.8%
19 Slovakia49.4%
20 Republic of Korea49.1%
21 Hungary46.1%
22 Russian Federation44.2%
23 United States44.1%
24 Portugal43.5%
25 Iceland43.4%
26 Slovenia42.1%
27 Lithuania38.9%
28 France36.3%
29 Taiwan35.7%
30 Japan 33.6%
31 Czech Republic32.6%
32 United Kingdom29.7%
33 Cyprus29.5%
34 Estonia29.3%
35 Finland26.9%
36 Poland26.5%
37 New Zealand26.3%
38 Norway24.4%
39 Sweden21.1%
40 Australia19.6%
41 Denmark17.4%

Note
Can't choose/ No answer are excluded.

No data for 197 countries.

Source
ISSP 2009

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data41
Regression equation
Y = -1.842240 X +7.311
Correlation coefficient (r)-0.457
Coefficient of determination (R2)0.209

GDP per capita (current US$)
No. of data41
Regression equation
Y = -61280.217093 X +64149.572
Correlation coefficient (r)-0.418
Coefficient of determination (R2)0.175

Life expectancy at birth - Both sexes (years)
No. of data40
Regression equation
Y = -11.494649 X +83.631
Correlation coefficient (r)-0.369
Coefficient of determination (R2)0.136

Fertility rate, total (births per woman)
No. of data40
Regression equation
Y = 0.547349 X +1.374
Correlation coefficient (r)0.229
Coefficient of determination (R2)0.052

Suicide, age-standardized (per 100 000 population)
No. of data40
Regression equation
Y = -5.441322 X +13.062
Correlation coefficient (r)-0.174
Coefficient of determination (R2)0.030