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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 = 2.422490 X +5.782
Correlation coefficient (r)0.592
Coefficient of determination (R2)0.350

GNI per capita, PPP (current international$)
No. of data9
Regression equation
Y = 9498.317796 X +45849.815
Correlation coefficient (r)0.189
Coefficient of determination (R2)0.036

Life expectancy at birth - Both sexes (years)
No. of data9
Regression equation
Y = -0.042969 X +0.837
Correlation coefficient (r)-0.380
Coefficient of determination (R2)0.144

Fertility rate, total (births per woman)
No. of data9
Regression equation
Y = 0.093803 X +1.589
Correlation coefficient (r)0.047
Coefficient of determination (R2)0.002

Suicide - all ages (per 100,000 population, age-adjusted)
No. of data9
Regression equation
Y = -3.998533 X +13.983
Correlation coefficient (r)-0.151
Coefficient of determination (R2)0.023