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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 family or marital status (that is, son/daughter, mother/father, grandfather/grandmother, husband/wife, widower/widow, not married, or other similar)"
Period:
Area:
9 countries/ areas
Highlight:
1 United Kingdom54.1%
2 Sweden 52.5%
3 Australia52.1%
4 Canada50.6%
5 United States48.4%
6 Republic of Korea44.8%
7 Germany33.0%
8 Japan22.5%
9 France18.4%

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 data9
Regression equation
Y = 1.699767 X +5.980
Correlation coefficient (r)0.553
Coefficient of determination (R2)0.306

GDP per capita (current US$)
No. of data9
Regression equation
Y = 55348.344474 X +27432.203
Correlation coefficient (r)0.532
Coefficient of determination (R2)0.283

Life expectancy at birth - Both sexes (years)
No. of data9
Regression equation
Y = -4.084570 X +83.619
Correlation coefficient (r)-0.231
Coefficient of determination (R2)0.053

Fertility rate, total (births per woman)
No. of data9
Regression equation
Y = -0.105371 X +1.549
Correlation coefficient (r)-0.048
Coefficient of determination (R2)0.002

Suicide, age-standardized (per 100 000 population)
No. of data9
Regression equation
Y = 3.061819 X +10.572
Correlation coefficient (r)0.100
Coefficient of determination (R2)0.010