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Question: Please think about your present job (or your last one if you don't have one now). If you compare this job to the job your father had when you were <14/15/16>, would you say that the level of status of your job is (or was)...
Choices: "Much higher than your father's" "Higher" "About equal" "Lower" "Much lower than your father's" "I never had a job" "I don't know what my father did/ father never had a job/ never knew father/ father deceased"
Data: % of "Lower" "Much lower than your father's" among those who have ever had a job and know their fathers' job
Period:
Area:
30 countries/ areas
Highlight:
1 Japan53.0%
2 Turkiye31.6%
3 Chile29.3%
3 Republic of Korea29.3%
5 Iceland29.0%
6 United States27.6%
7 United Kingdom26.2%
8 Estonia25.6%
9 Germany23.1%
9 Israel23.1%
9 Latvia23.1%
9 New Zealand23.1%
13 Poland 22.9%
14 Czech Republic22.8%
15 Sweden22.3%
16 Norway21.4%
17 Italy20.6%
18 Hungary20.5%
19 Slovenia20.4%
20 Austria20.3%
21 Australia20.2%
21 France20.2%
23 Switzerland18.3%
24 Denmark18.0%
25 Finland17.8%
26 Lithuania16.8%
26 Spain16.8%
28 Portugal16.2%
28 Slovakia16.2%
30 Belgium16.0%

Note
"I never had a job" "I Can't choose what my father did/ father never had a job/ never knew father/ father deceased"/ Can't choose/ No answer are excluded. Belgium: unweighted sum of Flanders and Wallony. Germany: unweighted sum of West and East Germany. United Kingdom: excluding Northern Ireland.

No data for 8 countries.

Source
ISSP 2009

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data30
Regression equation
Y = -3.111521 X +7.437
Correlation coefficient (r)-0.333
Coefficient of determination (R2)0.111

GDP per capita (current US$)
No. of data30
Regression equation
Y = -29340.147886 X +49720.660
Correlation coefficient (r)-0.096
Coefficient of determination (R2)0.009

Life expectancy at birth - Both sexes (years)
No. of data30
Regression equation
Y = 8.152795 X +78.620
Correlation coefficient (r)0.213
Coefficient of determination (R2)0.045

Fertility rate, total (births per woman)
No. of data30
Regression equation
Y = -0.029677 X +1.578
Correlation coefficient (r)-0.006
Coefficient of determination (R2)0.000

Suicide - all ages (per 100,000 population)
No. of data30
Regression equation
Y = -3.160215 X +14.229
Correlation coefficient (r)-0.041
Coefficient of determination (R2)0.002