Tweet
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:
31 countries/ areas
Highlight:
1 Dominican Republic69.3%
2 Mexico63.4%
3 South Africa48.7%
4 Philippines47.0%
5 United States43.7%
6 Portugal41.4%
7 Bulgaria40.5%
8 France39.2%
9 Latvia37.5%
10 Spain37.2%
11 Ireland34.5%
12 Japan 32.7%
13 United Kingdom32.6%
14 Russian Federation30.8%
15 Switzerland30.2%
16 Cyprus27.1%
17 Slovenia26.0%
18 Canada25.9%
19 Australia25.8%
20 New Zealand24.9%
21 Hungary23.1%
22 Taiwan22.5%
23 Republic of Korea21.3%
24 Israel21.2%
25 Germany17.2%
26 Belgium12.7%
27 Czech Republic12.0%
28 Sweden10.8%
29 Denmark10.4%
30 Norway9.5%
31 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 207 countries.

Source
ISSP 2005

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data31
Regression equation
Y = -2.457558 X +7.318
Correlation coefficient (r)-0.613
Coefficient of determination (R2)0.376

GDP per capita (current US$)
No. of data31
Regression equation
Y = -84892.977049 X +67497.456
Correlation coefficient (r)-0.470
Coefficient of determination (R2)0.221

Life expectancy at birth - Both sexes (years)
No. of data30
Regression equation
Y = -22.422364 X +85.539
Correlation coefficient (r)-0.596
Coefficient of determination (R2)0.355

Fertility rate, total (births per woman)
No. of data30
Regression equation
Y = 0.834270 X +1.433
Correlation coefficient (r)0.293
Coefficient of determination (R2)0.086

Suicide, age-standardized (per 100 000 population)
No. of data30
Regression equation
Y = -6.026683 X +12.393
Correlation coefficient (r)-0.176
Coefficient of determination (R2)0.031