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Question: How much do you agree or disagree with the statement "Being an employee interferes more with family life than self-employment"?
(In Czech: "Working as a self-employed or entrepreneur interferes more with family life than working as an employee")
Choices: "Strongly agree" "Agree" "Neither agree nor disagree" "Disagree" "Strongly disagree"
Data: % of "Strongly agree" "Agree"(In Czech: % of "Disagree" "Strongly disagree")
Period:
Area:
24 countries/ areas
Highlight:
1 Mexico63.4%
2 United States43.7%
3 Portugal41.4%
4 France39.2%
5 Latvia37.5%
6 Spain37.2%
7 Ireland34.5%
8 Japan 32.7%
9 United Kingdom32.6%
10 Switzerland30.2%
11 Slovenia26.0%
12 Canada25.9%
13 Australia25.8%
14 New Zealand24.9%
15 Hungary23.1%
16 Republic of Korea21.3%
17 Israel21.2%
18 Germany17.2%
19 Belgium12.7%
20 Czech Republic12.0%
21 Sweden10.8%
22 Denmark10.4%
23 Norway9.5%
24 Finland8.6%

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

No data for 14 countries.

Source
ISSP 2005

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data24
Regression equation
Y = -1.470246 X +7.193
Correlation coefficient (r)-0.426
Coefficient of determination (R2)0.181

Life satisfaction (10 steps)
No. of data24
Regression equation
Y = -1.548237 X +7.193
Correlation coefficient (r)-0.437
Coefficient of determination (R2)0.191

Life satisfaction (10 steps)
No. of data24
Regression equation
Y = -1.898593 X +7.297
Correlation coefficient (r)-0.524
Coefficient of determination (R2)0.275

GDP per capita (current US$)
No. of data24
Regression equation
Y = -43974.417911 X +64466.784
Correlation coefficient (r)-0.232
Coefficient of determination (R2)0.054

Life expectancy at birth - Both sexes (years)
No. of data24
Regression equation
Y = -7.697163 X +83.575
Correlation coefficient (r)-0.400
Coefficient of determination (R2)0.160

Fertility rate, total (births per woman)
No. of data24
Regression equation
Y = 0.404031 X +1.372
Correlation coefficient (r)0.148
Coefficient of determination (R2)0.022

Suicide, age-standardized (per 100 000 population)
No. of data24
Regression equation
Y = -5.424875 X +12.117
Correlation coefficient (r)-0.208
Coefficient of determination (R2)0.043