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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:
27 countries/ areas
Highlight:
1 Denmark66.1%
2 United Kingdom54.1%
3 Norway52.9%
4 Sweden52.5%
5 Australia52.1%
6 Canada50.6%
7 United States48.4%
8 New Zealand47.4%
9 Republic of Korea44.8%
10 Netherlands44.0%
10 Slovakia44.0%
12 Austria42.2%
13 Ireland40.3%
14 Latvia35.7%
15 Hungary34.3%
16 Germany33.0%
16 Poland33.0%
18 Portugal31.2%
19 Switzerland28.1%
20 Czech Republic26.3%
21 Slovenia25.6%
22 Japan 22.5%
23 Chile21.5%
24 Israel21.0%
25 Finland19.3%
26 France18.4%
27 Spain16.5%

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 11 countries.
Source
ISSP 2003

 Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data27
Regression equation
Y = 1.338296 X +6.342
Correlation coefficient (r)0.319
Coefficient of determination (R2)0.102
GDP per capita (current US$)
No. of data27
Regression equation
Y = 68690.635468 X +21870.503
Correlation coefficient (r)0.396
Coefficient of determination (R2)0.157
Life expectancy at birth - Both sexes (years)
No. of data27
Regression equation
Y = 0.066429 X +80.827
Correlation coefficient (r)0.004
Coefficient of determination (R2)0.000
Fertility rate, total (births per woman)
No. of data27
Regression equation
Y = -0.349067 X +1.689
Correlation coefficient (r)-0.144
Coefficient of determination (R2)0.021
Suicide - all ages (per 100,000 population)
No. of data27
Regression equation
Y = 1.460358 X +12.712
Correlation coefficient (r)0.043
Coefficient of determination (R2)0.002