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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:
25 countries/ areas
Highlight:
1 Japan54.4%
2 Philippines 34.7%
3 Chile32.8%
4 Canada28.8%
5 Russian Federation26.6%
6 New Zealand26.2%
6 Sweden26.2%
6 United States26.2%
9 Israel25.5%
9 United Kingdom25.5%
11 Latvia24.6%
12 Czech Republic24.3%
13 Poland24.1%
13 Slovakia24.1%
15 Norway23.7%
16 Australia21.6%
17 France20.6%
17 Hungary20.6%
19 Slovenia19.7%
20 Austria18.3%
21 Germany17.9%
22 Bulgaria17.1%
23 Portugal15.5%
24 Spain12.9%
25 Cyprus10.9%

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. Germany: unweighted sum of West and East Germany. United Kingdom: excluding Northern Ireland.

No data for 213 countries.

Source
ISSP 1999

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data25
Regression equation
Y = -0.597075 X +6.716
Correlation coefficient (r)-0.084
Coefficient of determination (R2)0.007

GDP per capita (current US$)
No. of data25
Regression equation
Y = -2642.881422 X +37921.332
Correlation coefficient (r)-0.011
Coefficient of determination (R2)0.000

Life expectancy at birth - Both sexes (years)
No. of data25
Regression equation
Y = 1.354866 X +79.137
Correlation coefficient (r)0.031
Coefficient of determination (R2)0.001

Fertility rate, total (births per woman)
No. of data25
Regression equation
Y = 0.779748 X +1.430
Correlation coefficient (r)0.185
Coefficient of determination (R2)0.034

Suicide - all ages (per 100,000 population)
No. of data25
Regression equation
Y = 6.334115 X +10.793
Correlation coefficient (r)0.104
Coefficient of determination (R2)0.011