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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:
28 countries/ areas
Highlight:
1 Philippines74.1%
2 Venezuela61.1%
3 Chile59.9%
4 Thailand59.0%
5 Taiwan55.8%
6 Italy55.6%
7 Germany52.7%
8 Bulgaria51.2%
9 South Africa50.6%
10 Austria48.3%
11 Suriname48.2%
12 Croatia48.1%
13 Slovenia40.0%
14 Russian Federation38.4%
15 Israel37.9%
16 Lithuania35.8%
17 Czech Republic34.3%
18 Switzerland32.8%
19 Iceland27.4%
20 New Zealand27.2%
21 Japan25.8%
22 United Kingdom21.4%
23 United States19.3%
24 Finland 17.8%
25 Norway16.6%
26 France12.7%
27 Australia11.9%
28 Sweden10.2%

Note
Can't choose/ No answer are excluded.

No data for 210 countries.

Source
ISSP 2019

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data27
Regression equation
Y = -2.781741 X +7.658
Correlation coefficient (r)-0.629
Coefficient of determination (R2)0.396

GDP per capita (current US$)
No. of data28
Regression equation
Y = -103930.220917 X +77845.482
Correlation coefficient (r)-0.701
Coefficient of determination (R2)0.491

Life expectancy at birth - Both sexes (years)
No. of data27
Regression equation
Y = -15.982208 X +84.724
Correlation coefficient (r)-0.553
Coefficient of determination (R2)0.306

Fertility rate, total (births per woman)
No. of data27
Regression equation
Y = 0.689323 X +1.453
Correlation coefficient (r)0.301
Coefficient of determination (R2)0.091

Suicide - all ages (per 100,000 population)
No. of data27
Regression equation
Y = -9.153103 X +16.934
Correlation coefficient (r)-0.249
Coefficient of determination (R2)0.062