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Question: In general, which in the following list is most important to you in describing who you are?
Choices: "Your current or previous occupation (or being a homemaker)" "Your race/ethnic background" "Your gender (that is, being a man/woman)" "Your age group (that is, Young, Middle Age, Old)" "Your religion (or being agnostic or atheist)" "Your preferred political party, group, or movement"? "Your nationality" "Your family or marital status (that is, son/daughter, mother/father, grandfather/grandmother, husband/wife, widower/widow, not married, or other similar)" "Your social class (that is upper, middle, lower, working, or similar categories)" "The part of country that you live in"
Data: % of "Your current or previous occupation (or being a homemaker)"
Period:
Area:
6 countries/ areas
Highlight:
1 Japan22.5%
2 Germany19.5%
3 United States15.5%
4 France 14.4%
5 United Kingdom13.4%
6 Canada11.8%

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

No data for 1 countries.

Source
ISSP 2003

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data6
Regression equation
Y = -3.724588 X +7.244
Correlation coefficient (r)-0.556
Coefficient of determination (R2)0.309

Life satisfaction (10 steps)
No. of data6
Regression equation
Y = -4.505470 X +7.354
Correlation coefficient (r)-0.745
Coefficient of determination (R2)0.555

Life satisfaction (10 steps)
No. of data6
Regression equation
Y = -5.947245 X +7.589
Correlation coefficient (r)-0.819
Coefficient of determination (R2)0.671

GDP per capita (current US$)
No. of data6
Regression equation
Y = -166662.161333 X +81644.993
Correlation coefficient (r)-0.381
Coefficient of determination (R2)0.145

Life expectancy at birth - Both sexes (years)
No. of data6
Regression equation
Y = 15.327676 X +78.953
Correlation coefficient (r)0.318
Coefficient of determination (R2)0.101

Fertility rate, total (births per woman)
No. of data6
Regression equation
Y = -2.137409 X +1.794
Correlation coefficient (r)-0.446
Coefficient of determination (R2)0.199

Suicide, age-standardized (per 100 000 population)
No. of data6
Regression equation
Y = 36.367243 X +5.078
Correlation coefficient (r)0.482
Coefficient of determination (R2)0.232