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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 religion (or being agnostic or atheist)"
Period:
Area:
27 countries/ areas
Highlight:
1 Israel13.9%
2 Slovakia11.8%
3 Poland11.0%
3 United States11.0%
5 Ireland8.0%
6 New Zealand6.8%
7 Canada5.9%
8 Netherlands5.6%
9 Australia4.8%
10 France4.7%
11 Finland4.5%
12 Republic of Korea4.4%
13 Austria4.0%
13 Hungary4.0%
15 Norway3.9%
16 Portugal3.5%
17 Germany3.2%
18 Chile3.0%
18 Slovenia3.0%
18 United Kingdom3.0%
21 Latvia2.9%
22 Sweden2.3%
23 Denmark2.2%
24 Switzerland2.1%
25 Czech Republic2.0%
25 Spain2.0%
27 Japan 1.7%

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 11 countries.

Source
ISSP 2003

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data27
Regression equation
Y = 0.502172 X +6.815
Correlation coefficient (r)0.030
Coefficient of determination (R2)0.001

GDP per capita (current US$)
No. of data27
Regression equation
Y = 19479.034783 X +46483.642
Correlation coefficient (r)0.028
Coefficient of determination (R2)0.001

Life expectancy at birth - Both sexes (years)
No. of data27
Regression equation
Y = -20.498953 X +81.878
Correlation coefficient (r)-0.272
Coefficient of determination (R2)0.074

Fertility rate, total (births per woman)
No. of data27
Regression equation
Y = 4.602344 X +1.329
Correlation coefficient (r)0.471
Coefficient of determination (R2)0.222

Suicide - all ages (per 100,000 population)
No. of data27
Regression equation
Y = -32.863526 X +14.901
Correlation coefficient (r)-0.240
Coefficient of determination (R2)0.058