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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 Korea44.8%
7 Germany33.0%
8 Japan 22.5%
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 = 1.838264 X +6.030
Correlation coefficient (r)0.507
Coefficient of determination (R2)0.257

GDP per capita (current US$)
No. of data9
Regression equation
Y = 42071.204666 X +33722.665
Correlation coefficient (r)0.510
Coefficient of determination (R2)0.260

Life expectancy at birth - Both sexes (years)
No. of data9
Regression equation
Y = -4.768641 X +83.839
Correlation coefficient (r)-0.313
Coefficient of determination (R2)0.098

Fertility rate, total (births per woman)
No. of data9
Regression equation
Y = -0.237257 X +1.586
Correlation coefficient (r)-0.115
Coefficient of determination (R2)0.013

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