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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 Sweden52.5%
3 Australia52.1%
4 Canada50.6%
5 United States48.4%
6 Republic of Korea 44.8%
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 = 2.004869 X +5.972
Correlation coefficient (r)0.497
Coefficient of determination (R2)0.247

GNI per capita, Atlas method (current US$)
No. of data9
Regression equation
Y = 23225.859999 X +37255.318
Correlation coefficient (r)0.331
Coefficient of determination (R2)0.110

Life expectancy at birth - Both sexes (years)
No. of data9
Regression equation
Y = -3.874479 X +83.732
Correlation coefficient (r)-0.325
Coefficient of determination (R2)0.106

Fertility rate, total (births per woman)
No. of data9
Regression equation
Y = 0.001008 X +1.594
Correlation coefficient (r)0.001
Coefficient of determination (R2)0.000

Suicide - all ages (per 100,000 population)
No. of data9
Regression equation
Y = -3.354478 X +16.181
Correlation coefficient (r)-0.080
Coefficient of determination (R2)0.006