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Question: What is needed to support a family ? 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 Philippines85.0%
2 Argentina79.0%
3 Turkiye78.6%
4 Chile76.0%
5 China69.4%
6 South Africa65.3%
7 Latvia63.6%
8 Venezuela63.5%
9 Bulgaria62.4%
10 Germany62.1%
11 Taiwan61.9%
12 United Kingdom61.4%
13 Belgium60.3%
14 Switzerland59.8%
15 Austria59.4%
16 Croatia58.3%
16 Israel58.3%
18 Spain57.7%
19 Italy56.1%
20 Russian Federation55.7%
20 United States55.7%
22 Iceland55.1%
23 Ukraine54.3%
24 France52.5%
25 Slovakia52.3%
26 Republic of Korea44.6%
27 Hungary43.9%
28 Lithuania43.7%
29 Portugal43.3%
30 Australia40.5%
31 Czech Republic37.9%
32 New Zealand36.7%
33 Slovenia34.2%
34 Japan 32.6%
35 Cyprus32.3%
36 Poland31.1%
37 Norway30.3%
38 Finland28.7%
39 Estonia26.0%
40 Sweden24.2%
41 Denmark22.5%

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 = -1.937808 X +7.451
Correlation coefficient (r)-0.463
Coefficient of determination (R2)0.214

GDP per capita (current US$)
No. of data41
Regression equation
Y = -58644.147914 X +65794.694
Correlation coefficient (r)-0.385
Coefficient of determination (R2)0.148

Life expectancy at birth - Both sexes (years)
No. of data40
Regression equation
Y = -13.184543 X +85.001
Correlation coefficient (r)-0.408
Coefficient of determination (R2)0.166

Fertility rate, total (births per woman)
No. of data40
Regression equation
Y = 0.830727 X +1.205
Correlation coefficient (r)0.334
Coefficient of determination (R2)0.112

Suicide, age-standardized (per 100 000 population)
No. of data40
Regression equation
Y = -7.225874 X +14.217
Correlation coefficient (r)-0.222
Coefficient of determination (R2)0.049