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Question: For religious reasons do you have in your home a shrine, altar, or a religious object on display such as an icon, retablos, mezuzah, menorah, or crucifix?
Choices: "Yes" "No"
Data: % of "Yes"
Period:
Area:
44 countries/ areas
Highlight:
1 Israel88.8%
2 Ukraine88.1%
3 Croatia85.6%
4 Sri Lanka85.1%
5 Poland84.0%
6 Indonesia77.3%
7 Italy76.1%
8 Philippines74.8%
8 Russian Federation74.8%
10 Mexico74.6%
11 Portugal73.8%
12 Taiwan72.5%
13 Cyprus72.4%
14 Venezuela66.1%
15 Chile64.5%
16 Belgium63.5%
17 Ireland61.6%
18 Slovakia57.7%
19 Uruguay57.2%
20 Spain55.5%
21 Tanzania55.4%
22 Austria53.8%
23 Japan51.5%
24 Slovenia49.3%
25 Turkiye43.9%
26 France39.7%
27 United States39.2%
28 South Africa34.6%
29 Netherlands33.8%
30 Latvia32.4%
31 Switzerland28.9%
32 Hungary28.2%
33 Finland 27.7%
34 Republic of Korea25.5%
35 Germany23.7%
36 Czech Republic21.7%
37 Australia19.6%
38 United Kingdom19.3%
39 Kenya18.2%
40 Norway16.6%
41 New Zealand16.0%
42 Denmark12.1%
43 Dominican Republic11.6%
44 Sweden8.5%

Note
Can't choose/ No answer are excluded. Belgium: Flanders only. Germany: unweighted sum of West and East Germany. Israel: unweighted sum of Jews and Arabs. Italy: unweighted sum of 2008 and 2010 surveys. United Kingdom: excluding Northern Ireland.

No data for 194 countries.

Source
ISSP 2008

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data44
Regression equation
Y = -1.417249 X +7.000
Correlation coefficient (r)-0.372
Coefficient of determination (R2)0.138

GDP per capita (current US$)
No. of data44
Regression equation
Y = -42921.702803 X +54851.562
Correlation coefficient (r)-0.411
Coefficient of determination (R2)0.169

Life expectancy at birth - Both sexes (years)
No. of data43
Regression equation
Y = -4.046283 X +80.127
Correlation coefficient (r)-0.198
Coefficient of determination (R2)0.039

Fertility rate, total (births per woman)
No. of data43
Regression equation
Y = 0.148147 X +1.720
Correlation coefficient (r)0.056
Coefficient of determination (R2)0.003

Suicide - all ages (per 100,000 population)
No. of data43
Regression equation
Y = -3.489235 X +13.935
Correlation coefficient (r)-0.133
Coefficient of determination (R2)0.018