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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 social class (that is upper, middle, lower, working, or similar categories)"
Period:
Area:
34 countries/ areas
Highlight:
1 Taiwan8.5%
2 Venezuela8.4%
3 Netherlands6.5%
3 Russian Federation6.5%
5 Hungary6.1%
6 France5.5%
7 Israel4.9%
8 Philippines4.6%
9 Latvia4.1%
10 Spain4.0%
11 Czech Republic3.4%
12 Germany3.1%
12 Republic of Korea3.1%
14 Austria2.9%
15 Poland2.6%
16 Bulgaria2.5%
17 Finland2.4%
18 Portugal2.3%
19 United States2.1%
20 Chile2.0%
21 Switzerland1.9%
22 Japan 1.8%
22 United Kingdom1.8%
24 Uruguay1.7%
25 Denmark1.6%
25 Slovenia1.6%
27 Australia1.5%
28 Canada1.3%
28 Norway1.3%
28 South Africa1.3%
31 New Zealand1.1%
32 Slovakia1.0%
33 Sweden0.9%
34 Ireland0.7%

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 = -7.922428 X +6.836
Correlation coefficient (r)-0.284
Coefficient of determination (R2)0.081

GDP per capita (current US$)
No. of data34
Regression equation
Y = -472320.860363 X +55451.850
Correlation coefficient (r)-0.374
Coefficient of determination (R2)0.140

Life expectancy at birth - Both sexes (years)
No. of data33
Regression equation
Y = -87.076040 X +81.189
Correlation coefficient (r)-0.311
Coefficient of determination (R2)0.097

Fertility rate, total (births per woman)
No. of data33
Regression equation
Y = 5.779031 X +1.493
Correlation coefficient (r)0.272
Coefficient of determination (R2)0.074

Suicide, age-standardized (per 100 000 population)
No. of data33
Regression equation
Y = -47.094849 X +12.195
Correlation coefficient (r)-0.181
Coefficient of determination (R2)0.033