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 race/ethnic background"
Period:
Area:
34 countries/ areas
Highlight:
1 Chile24.4%
2 Portugal21.9%
3 Uruguay20.5%
4 France20.2%
5 Germany18.6%
6 Czech Republic15.1%
7 Spain15.0%
8 Sweden13.8%
9 Norway13.6%
10 New Zealand11.7%
11 Japan 11.6%
12 Slovakia10.8%
13 Poland10.6%
14 Slovenia10.3%
15 Austria10.1%
16 Finland10.0%
17 United Kingdom9.7%
18 Switzerland9.4%
19 Israel9.3%
20 Russian Federation8.6%
20 United States8.6%
22 Ireland8.5%
22 South Africa8.5%
24 Latvia8.1%
25 Canada8.0%
26 Republic of Korea7.9%
27 Hungary7.6%
28 Australia6.4%
29 Bulgaria6.0%
29 Netherlands6.0%
31 Denmark5.4%
32 Venezuela4.8%
33 Philippines4.3%
34 Taiwan2.0%

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 = 0.561678 X +6.531
Correlation coefficient (r)0.050
Coefficient of determination (R2)0.003

GDP per capita (current US$)
No. of data34
Regression equation
Y = -31148.785636 X +44230.456
Correlation coefficient (r)-0.061
Coefficient of determination (R2)0.004

Life expectancy at birth - Both sexes (years)
No. of data33
Regression equation
Y = 27.571638 X +75.590
Correlation coefficient (r)0.261
Coefficient of determination (R2)0.068

Fertility rate, total (births per woman)
No. of data33
Regression equation
Y = -1.998648 X +1.883
Correlation coefficient (r)-0.249
Coefficient of determination (R2)0.062

Suicide, age-standardized (per 100 000 population)
No. of data33
Regression equation
Y = 0.146149 X +10.801
Correlation coefficient (r)0.001
Coefficient of determination (R2)0.000