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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 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 Finland10.1%
7 Bulgaria10.0%
8 Switzerland9.4%
9 Republic of Korea8.9%
10 Czech Republic8.5%
11 Russian Federation8.1%
12 Japan 7.0%
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 = -1.453750 X +6.691
Correlation coefficient (r)-0.120
Coefficient of determination (R2)0.014

GDP per capita (current US$)
No. of data34
Regression equation
Y = -98345.262436 X +47636.831
Correlation coefficient (r)-0.179
Coefficient of determination (R2)0.032

Life expectancy at birth - Both sexes (years)
No. of data33
Regression equation
Y = 12.933478 X +77.817
Correlation coefficient (r)0.096
Coefficient of determination (R2)0.009

Fertility rate, total (births per woman)
No. of data33
Regression equation
Y = -3.492100 X +1.885
Correlation coefficient (r)-0.340
Coefficient of determination (R2)0.116

Suicide, age-standardized (per 100 000 population)
No. of data33
Regression equation
Y = -0.502728 X +10.850
Correlation coefficient (r)-0.004
Coefficient of determination (R2)0.000