Tweet
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 age group (that is, Young, Middle Age, Old)"
Period:
Area:
34 countries/ areas
Highlight:
1 Taiwan23.4%
2 Spain22.9%
3 Hungary11.3%
4 Netherlands10.8%
5 Latvia10.2%
6 Finland 10.1%
7 Bulgaria10.0%
8 Switzerland9.4%
9 Republic of Korea8.9%
10 Czech Republic8.5%
11 Russian Federation8.1%
12 Japan7.0%
13 Portugal6.9%
14 Slovenia6.2%
15 Germany5.7%
16 France5.6%
17 Uruguay5.5%
18 Israel5.3%
19 Australia4.5%
19 Sweden4.5%
19 Venezuela4.5%
22 Poland4.2%
23 Chile4.1%
24 Slovakia4.0%
25 Norway3.5%
25 United Kingdom3.5%
25 United States3.5%
28 South Africa3.4%
29 Denmark3.3%
29 Philippines3.3%
31 Austria3.0%
31 Canada3.0%
31 Ireland3.0%
31 New Zealand3.0%

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 204 countries.
Source
ISSP 2003

 Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data34
Regression equation
Y = -1.373006 X +6.699
Correlation coefficient (r)-0.091
Coefficient of determination (R2)0.008
GDP per capita (current US$)
No. of data34
Regression equation
Y = -82858.074925 X +45940.757
Correlation coefficient (r)-0.159
Coefficient of determination (R2)0.025
Life expectancy at birth - Both sexes (years)
No. of data33
Regression equation
Y = 9.167417 X +78.624
Correlation coefficient (r)0.080
Coefficient of determination (R2)0.006
Fertility rate, total (births per woman)
No. of data33
Regression equation
Y = -3.262809 X +1.851
Correlation coefficient (r)-0.342
Coefficient of determination (R2)0.117
Suicide - all ages (per 100,000 population)
No. of data33
Regression equation
Y = 15.748448 X +12.379
Correlation coefficient (r)0.107
Coefficient of determination (R2)0.011